Announcements

1. "Graphitic Carbon Nitride: A Highly Electroactive Nanomaterial for Environmental and Clinical Sensing"
by Azeez O. Idris, Ekemena O. Oseghe, Titus A. M. Msagati, Alex T. Kuvarega, Usisipho Feleni and Bhekie Mamba
Sensors 2020, 20(20), 5743; https://doi.org/10.3390/s20205743
Available online: https://www.mdpi.com/1424-8220/20/20/5743

2. "Insulator Based Dielectrophoresis: Micro, Nano and Molecular Scale Biological Applications"
by Prateek Benhal, David Quashie, Yoontae Kim and Jamel Ali
Sensors 2020, 20(18), 5095; https://doi.org/10.3390/s20185095
Available online: https://www.mdpi.com/1424-8220/20/18/5095

3. "Development of Nanoporous AAO Membrane for Nano Filtration Using the Acoustophoresis Method"
by Yatinkumar Patel, Giedrius Janusas, Arvydas Palevicius and Andrius Vilkauskas
Sensors 2020, 20(14), 3833; https://doi.org/10.3390/s20143833
Available online: https://www.mdpi.com/1424-8220/20/14/3833

4. "A Comprehensive Review of Integrated Hall Effects in Macro-, Micro-, Nanoscales and Quantum Devices"
by Avi Karsenty
Sensors 2020, 20(15), 4163; https://doi.org/10.3390/s20154163
Available online: https://www.mdpi.com/1424-8220/20/15/4163

5. “Graphene and Perovskite-Based Nanocomposite for Both Electrochemical and Gas Sensor Applications: An Overview"
by Tse-Wei Chen, Rasu Ramachandran, Shen-Ming Chen, Ganesan Anushya and Kumarasamy Ramachandran
Sensors 2020, 20(23), 6755; https://doi.org/10.3390/s20236755
Available online: https://www.mdpi.com/1424-8220/20/23/6755

6. "Geometric Nonlinear Model for Prediction of Frequency–Temperature Behavior of SAW Devices for Nanosensor Applications"
by Zhenglin Chen, Qiaozhen Zhang, Congcong Li, Sulei Fu, Xiaojun Qiu, Xiaoyu Wang and Haodong Wu
Sensors 2020, 20(15), 4237; https://doi.org/10.3390/s20154237
Available online: https://www.mdpi.com/1424-8220/20/15/4237

7. "Non-Enzymatic Glucose Sensing Based on Incorporation of Carbon Nanotube into Zn-Co-S Ball-in-Ball Hollow Sphere"
by Han-Wei Chang, Chia-Wei Su, Jia-Hao Tian and Yu-Chen Tsai
Sensors 2020, 20(15), 4340; https://doi.org/10.3390/s20154340
Available online: https://www.mdpi.com/1424-8220/20/15/4340

8. "Fluorometric Detection of Thiamine Based on Hemoglobin–Cu₃(PO₄)₂ Nanoflowers (NFs) with Peroxidase Mimetic Activity"
by Hangjin Zou, Yang Zhang, Chuhan Zhang, Rongtian Sheng, Xinming Zhang and Yanfei Qi
Sensors 2020, 20(21), 6359; https://doi.org/10.3390/s20216359
Available online: https://www.mdpi.com/1424-8220/20/21/6359

9. "Features of Sizing and Enumeration of Silica and Polystyrene Nanoparticles by Nanoparticle Tracking Analysis (NTA)"
by Zohair Usfoor, Katharina Kaufmann, Al Shahriar Hossain Rakib, Roland Hergenröder and Victoria Shpacovitch
Sensors 2020, 20(22), 6611; https://doi.org/10.3390/s20226611
Available online: https://www.mdpi.com/1424-8220/20/22/6611

10. "Piezoelectric Current Generator Based on Bismuth Ferrite Nanoparticles"
by Farid Orudzhev, Shikhgasan Ramazanov, Dinara Sobola, Nariman Alikhanov, Vladimír Holcman, Lubomír Škvarenina, Pavel Kaspar and Gamzat Gadjilov
Sensors 2020, 20(23), 6736; https://doi.org/10.3390/s20236736
Available online: https://www.mdpi.com/1424-8220/20/23/6736

1. “Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19”
by Bosheng Qin and Dongxiao Li
Sensors 2020, 20(18), 5236; https://doi.org/10.3390/s20185236
Available online: https://www.mdpi.com/1424-8220/20/18/5236

2. “Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video”
by Manuel Martinez, Kailun Yang, Angela Constantinescu and Rainer Stiefelhagen
Sensors 2020, 20(18), 5202; https://doi.org/10.3390/s20185202
Available online: https://www.mdpi.com/1424-8220/20/18/5202

3. “Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network”
by Dengji Zhou, Guizhou Wang, Guojin He, Tengfei Long, Ranyu Yin, Zhaoming Zhang, Sibao Chen and Bin Luo
Sensors 2020, 20(24), 7241; https://doi.org/10.3390/s20247241
Available online: https://www.mdpi.com/1424-8220/20/24/7241

4. “Review of Microfluidic Devices and Imaging Techniques for Fluid Flow Study in Porous Geomaterials”
by Amir Jahanbakhsh, Krystian L. Wlodarczyk, Duncan P. Hand, Robert R. J. Maier and M. Mercedes Maroto-Valer
Sensors 2020, 20(14), 4030; https://doi.org/10.3390/s20144030
Available online: https://www.mdpi.com/1424-8220/20/14/4030

5. “Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials”
by Xiaoxin Fang, Qiwu Luo, Bingxing Zhou, Congcong Li and Lu Tian
Sensors 2020, 20(18), 5136; https://doi.org/10.3390/s20185136
Available online: https://www.mdpi.com/1424-8220/20/18/5136

6. “The Use of Low-Cost Unmanned Aerial Vehicles in the Process of Building Models for Cultural Tourism, 3D Web and Augmented/Mixed Reality Applications”
by Tomasz Templin and Dariusz Popielarczyk
Sensors 2020, 20(19), 5457; https://doi.org/10.3390/s20195457
Available online: https://www.mdpi.com/1424-8220/20/19/5457

7. “Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method”
by Mohammad Akbar Faqeerzada, Santosh Lohumi, Geonwoo Kim, Rahul Joshi, Hoonsoo Lee, Moon Sung Kim and Byoung-Kwan Cho
Sensors 2020, 20(20), 5855; https://doi.org/10.3390/s20205855
Available online: https://www.mdpi.com/1424-8220/20/20/5855

8. “Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach”
by Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi-Terander, Samuel Ortega, Gustavo Marrero Callicó and Peter H. N. de With
Sensors 2020, 20(23), 6955; https://doi.org/10.3390/s20236955
Available online: https://www.mdpi.com/1424-8220/20/23/6955

9. “Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System”
by Yuping Huang, Yutu Yang, Ye Sun, Haiyan Zhou and Kunjie Chen
Sensors 2020, 20(18), 5120; https://doi.org/10.3390/s20185120
Available online: https://www.mdpi.com/1424-8220/20/18/5120

10. “Robust RGB-D SLAM Using Point and Line Features for Low Textured Scene”
by Yajing Zou, Amr Eldemiry, Yaxin Li and Wu Chen
Sensors 2020, 20(17), 4984; https://doi.org/10.3390/s20174984
Available online: https://www.mdpi.com/1424-8220/20/17/4984

1. “Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture”
by Dan Popescu, Florin Stoican, Grigore Stamatescu, Loretta Ichim and Cristian Dragana
Sensors 2020, 20(3), 817; https://doi.org/10.3390/s20030817
Available online: https://www.mdpi.com/1424-8220/20/3/817

2. “Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review”
by Jamil Fayyad, Mohammad A. Jaradat, Dominique Gruyer and Homayoun Najjaran
Sensors 2020, 20(15), 4220; https://doi.org/10.3390/s20154220
Available online: https://www.mdpi.com/1424-8220/20/15/4220

3. “IoT Wearable Sensors and Devices in Elderly Care: A Literature Review”
by Thanos G. Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos and Ioannis Kompatsiaris
Sensors 2020, 20(10), 2826; https://doi.org/10.3390/s20102826
Available online: https://www.mdpi.com/1424-8220/20/10/2826

4. “Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition”
by Yucel Cimtay and Erhan Ekmekcioglu
Sensors 2020, 20(7), 2034; https://doi.org/10.3390/s20072034
Available online: https://www.mdpi.com/1424-8220/20/7/2034

5. “LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture”
by Gaia Codeluppi, Antonio Cilfone, Luca Davoli and Gianluigi Ferrari
Sensors 2020, 20(7), 2028; https://doi.org/10.3390/s20072028
Available online: https://www.mdpi.com/1424-8220/20/7/2028

6. “Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals”
by Lin Chen, Jianting Fu, Yuheng Wu, Haochen Li and Bin Zheng
Sensors 2020, 20(3), 672; https://doi.org/10.3390/s20030672
Available online: https://www.mdpi.com/1424-8220/20/3/672

7. “An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare”
by William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi and Muhammad Ali Imran
Sensors 2020, 20(9), 2653; https://doi.org/10.3390/s20092653
Available online: https://www.mdpi.com/1424-8220/20/9/2653

8. “UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture”
by Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, and Paolo Gay
Sensors 2020, 20(9), 2530; https://doi.org/10.3390/s20092530
Available online: https://www.mdpi.com/1424-8220/20/9/2530

9. “Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review”
by Abdul Ahad, Mohammad Tahir, Muhammad Aman Sheikh, Kazi Istiaque Ahmed, Amna Mughees and Abdullah Numani
Sensors 2020, 20(14), 4047; https://doi.org/10.3390/s20144047
Available online: https://www.mdpi.com/1424-8220/20/14/4047

10. “EEG-Based BCI Emotion Recognition: A Survey”
by Edgar P. Torres, Edgar A. Torres, Myriam Hernández-Álvarez and Sang Guun Yoo
Sensors 2020, 20(5), 1271; https://doi.org/10.3390/s20051271
Available online: https://www.mdpi.com/1424-8220/20/18/5083

Recently, Clarivate^TM revealed its 2022 list of Highly Cited Researchers^TM—individuals at universities, research institutes and commercial organizations.

The scientists who were selected into this year’s list of Highly Cited Researchers have published highly cited papers in the 11-year period from January 2011 to December 2021, with citation frequency in the top 1% of academic subjects and the same year of publication in the Web of Science^TM database. Based on Web of Science Citation data, 6,938 researchers from across the globe who have demonstrated a disproportionate level of significant and broad influence in their chosen field or fields over the last decade have been awarded Highly Cited Researcher 2022 designations. The list is truly global, spanning 69 countries or regions and spread across a diverse range of research sciences and social sciences.

According to statistics, 15 members of the Editorial Board of Sensors (ISSN: 1424-8220) have been selected into the list of Highly Cited Researchers of Clarivate in 2022. They are being recognized for their high-quality scientific research achievements and outstanding contributions to professional fields. Sensors journal office sincerely congratulates all elected Editorial Board Members and hopes that they continue to have an academically productive relationship with the journal.

1. “Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting”
by Hanwen Kang, Hongyu Zhou, Xing Wang and Chao Chen
Sensors 2020, 20(19), 5670; https://doi.org/10.3390/s20195670
Avalable online: https://www.mdpi.com/1424-8220/20/19/5670

2. “Path Planning for Multi-Arm Manipulators Using Deep Reinforcement Learning: Soft Actor–Critic with Hindsight Experience Replay”
by Evan Prianto, Myeong Seop Kim, Jae-Han Park, Ji-Hun Bae and Jung-Su Kim
Sensors 2020, 20(20), 5911; https://doi.org/10.3390/s20205911
Avalable online: https://www.mdpi.com/1424-8220/20/20/5911

3. “Feature Sensing and Robotic Grasping of Objects with Uncertain Information: A Review”
by Chao Wang, Xuehe Zhang,Yubin Liu, Guanwen Ding, Wenxin Yin and Jie Zhao
Sensors 2020, 20(13), 3707; https://doi.org/10.3390/s20133707
Avalable online: https://www.mdpi.com/1424-8220/20/13/3707

4. “Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul”
by John Oyekan, Michael Farnsworth, Windo Hutabarat, David Miller and Ashutosh Tiwari
Sensors 2020, 20(16), 4637; https://doi.org/10.3390/s20164637
Avalable online: https://www.mdpi.com/1424-8220/20/16/4637

5. “Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm”
by Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li and Chuanqi Wang
Sensors 2020, 20(20), 5873; https://doi.org/10.3390/s20205873
Avalable online: https://www.mdpi.com/1424-8220/20/20/5873

6. “A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation”
by Fatemeh Mohammadi Amin, Maryam Rezayati, Hans Wernher van de Venn and Hossein Karimpour
Sensors 2020, 20(21), 6347; https://doi.org/10.3390/s20216347
Avalable online: https://www.mdpi.com/1424-8220/20/21/6347

7. “Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers”
by Luis V. Calderita, Araceli Vega, Sergio Barroso-Ramírez, Pablo Bustos and Pedro Núñez
Sensor 2020, 20(14), 4005; https://doi.org/10.3390/s20144005
Available online: https://www.mdpi.com/1424-8220/20/14/4005

8. “Absolute Positioning Accuracy Improvement in an Industrial Robot”
by Yizhou Jiang, Liandong Yu, Huakun Jia, Huining Zhao and Haojie Xia
Sensors 2020, 20(16), 4354; https://doi.org/10.3390/s20164354
Available online: https://www.mdpi.com/1424-8220/20/16/4354

9. “Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning”
by Guangda Chen, Shunyi Yao, Jun Ma, Lifan Pan, Yu’an Chen, Pei Xu, Jianmin Ji and Xiaoping Chen
Sensors 2020, 20(17), 4836; https://doi.org/10.3390/s20174836
Available online: https://www.mdpi.com/1424-8220/20/17/4836

10. “Robotic Localization Based on Planar Cable Robot and Hall Sensor Array Applied to Magnetic Capsule Endoscope”
by Min-Cheol Kim, Eui-Sun Kim, Jong-Oh Park, Eunpyo Choi and Chang-Sei Kim
Sensors 2020, 20(20), 5728; https://doi.org/10.3390/s20205728
Available online: https://www.mdpi.com/1424-8220/20/20/5728

1. “A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping”
by César Debeunne and Damien Vivet
Sensors 2020, 20(7), 2068; https://doi.org/10.3390/s20072068
Available online: https://www.mdpi.com/1424-8220/20/7/2068

2. “Machine Learning on Mainstream Microcontrollers”
by Fouad Sakr, Francesco Bellotti, Riccardo Berta and Alessandro De Gloria
Sensors 2020, 20(9), 2638; https://doi.org/10.3390/s20092638
Available online: https://www.mdpi.com/1424-8220/20/9/2638

3. “Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview”
by Balkis Aouadi, John-Lewis Zinia Zaukuu, Flora Vitális, Zsanett Bodor, Orsolya Fehér, Zoltan Gillay, George Bazar and Zoltan Kovacs
Sensors 2020, 20(19), 5479; https://doi.org/10.3390/s20195479
Available online: https://www.mdpi.com/1424-8220/20/19/5479

4. “Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics”
by Xiangzheng Yang, Jiahui Chen, Lianwen Jia, Wangqing Yu, Da Wang, Wenwen Wei, Shaojia Li, Shiyi Tian and Di Wu
Sensors 2020, 20(7), 1866; https://doi.org/10.3390/s20071866
Available online: https://www.mdpi.com/1424-8220/20/7/1866

5. “Innovation Strategy Selection Facilitates High-Performance Flexible Piezoelectric Sensors”
by Shengshun Duan, Jun Wu, Jun Xia and Wei Lei
Sensors 2020, 20(10), 2820; https://doi.org/10.3390/s20102820
Available online: https://www.mdpi.com/1424-8220/20/10/2820

6. “YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems”
by Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim and Seongwook Lee
Sensors 2020, 20(10), 2897; https://doi.org/10.3390/s20102897
Available online: https://www.mdpi.com/1424-8220/20/10/2897

7. “Development and Application of Resistance Strain Force Sensors”
by Yinming Zhao, Yang Liu, Yongqian Li and Qun Hao
Sensors 2020, 20(20), 5826; https://doi.org/10.3390/s20205826
Available online: https://www.mdpi.com/1424-8220/20/20/5826

8. “Miniaturized 0.13-μm CMOS Front-End Analog for AlN PMUT Arrays”
by Iván Zamora, Eyglis Ledesma, Arantxa Uranga and Núria Barniol
Sensors 2020, 20(4), 1205; https://doi.org/10.3390/s20041205
Available online: https://www.mdpi.com/1424-8220/20/4/1205

9. “Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques”
by Fanglin Mu, Yu Gu, Jie Zhang and Lei Zhang
Sensors 2020, 20(15), 4238; https://doi.org/10.3390/s20154238
Available online: https://www.mdpi.com/1424-8220/20/15/4238

10. “Development of Soft sEMG Sensing Structures Using 3D-Printing Technologies”
by Gerjan Wolterink, Pedro Dias, Remco G. P. Sanders, Frodo Muijzer, Bert-Jan van Beijnum, Peter Veltink and Gijs Krijnen
Sensors 2020, 20(15), 4292; https://doi.org/10.3390/s20154292
Available online: https://www.mdpi.com/1424-8220/20/15/4292

1. “A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks”
by Hugo Landaluce, Laura Arjona, Asier Perallos, Francisco Falcone, Ignacio Angulo, lorian Muralter and Florian Muralter
Sensors 2020, 20(9), 2495; https://doi.org/10.3390/s20092495
Available online: https://www.mdpi.com/1424-8220/20/9/2495

2. ‘’ A Systematic Review of IoT Solutions for Smart Farming”
by António Pereira, Emerson Navarro and Nuno Costa
Sensors 2020, 20(15), 4231; https://doi.org/10.3390/s20154231
Available online: https://www.mdpi.com/1424-8220/20/15/4231

3. “Federated Learning in Smart City Sensing: Challenges and Opportunities”
by Chu Jiang, Burak Kantarci, Sema Oktug and Tolga Soyata
Sensors 2020, 20(21), 6230; https://doi.org/10.3390/s20216230
Available online: https://www.mdpi.com/1424-8220/20/21/6230

4. “Blockchain-based Reputation for Intelligent Transportation Systems”
by Liviu-Adrian Hîrţan, Ciprian Dobre and Horacio González-Vélez
Sensors 2020, 20(3), 791; https://doi.org/10.3390/s20030791
Available online: https://www.mdpi.com/1424-8220/20/3/791

5. “Towards a Secure Thermal-Energy Aware Routing Protocol in Wireless Body Area Network Based on Blockchain Technology”
by Zeinab Shahbazi and Yung-Cheol Byun
Sensors 2020, 20(12), 3604; https://doi.org/10.3390/s20123604
Available online: https://www.mdpi.com/1424-8220/20/12/3604

6. “A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues”
by A. S. M. Kayes, Rudri Kalaria, Iqbal H. Sarker, Md. Saiful Islam, Paul A. Watters, Alex Ng, Mohammad Hammoudeh, Shahriar Badsha and Indika Kumara
Sensors 2020, 20(9), 2464; https://doi.org/10.3390/s20092464
Available online: https://www.mdpi.com/1424-8220/20/9/2464

7. “Detection and Classification of Multirotor Drones in Radar Sensor Networks: A Review”
by Angelo Coluccia, Gianluca Parisi and Alessio Fascista
Sensors 2020, 20(15), 4172; https://doi.org/10.3390/s20154172
Available online: https://www.mdpi.com/1424-8220/20/15/4172

8. “Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks”
by Dezhi Han, Yunping Yu, Kuan-Ching Li and Rodrigo Fernandes de Mello
Sensors 2020, 20(2), 343; https://doi.org/10.3390/s20020343
Available online: https://www.mdpi.com/1424-8220/20/2/343

9. “A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks”
by Omar A. Saraereh, Amer Alsaraira, Imran Khan and Bong Jun Choi
Sensors 2020, 20(12), 3458; https://doi.org/10.3390/s20020407
Available online: https://www.mdpi.com/1424-8220/20/2/407

10. “Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios”
by Markus Bullmann, Toni Fetzer, Frank Ebner, Markus Ebner, Frank Deinzer and Marcin Grzegorzek
Sensors 2020, 20(16), 4515; https://doi.org/10.3390/s20164515
Available online: https://www.mdpi.com/1424-8220/20/16/4515

1. “Microwave Differential Frequency Splitting Sensor Using Magnetic-LC Resonators”
by Amir Ebrahimi, Grzegorz Beziuk, James Scott and Kamran Ghorbani
Sensors 2020, 20(4), 1066; https://doi.org/10.3390/s20041066
Available online: https://www.mdpi.com/1424-8220/20/4/1066

2. “Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors”
by Luis Sigcha, Nélson Costa, Ignacio Pavón, Susana Costa, Pedro Arezes, Juan Manuel López and Guillermo De Arcas
Sensors 2020, 20(7), 1895; https://doi.org/10.3390/s20071895   
Available online: https://www.mdpi.com/1424-8220/20/7/1895

3. “Photoacoustic-Based Gas Sensing: A Review”
by Stefan Palzer
Sensors 2020, 20(9), 2745; https://doi.org/10.3390/s20092745  
Available online: https://www.mdpi.com/1424-8220/20/9/2745

4. “Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities”
by Viviana Mulloni and Massimo Donelli
Sensors 2020, 20(7), 2135; https://doi.org/10.3390/s20072135  
Available online: https://www.mdpi.com/1424-8220/20/7/2135

5. “A Review of Thin-Film Magnetoelastic Materials for Magnetoelectric Applications”
by Xianfeng Liang, Cunzheng Dong, Huaihao Chen, Jiawei Wang, Yuyi Wei, Mohsen Zaeimbashi, Yifan He, Alexei Matyushov, Changxing Sun and Nianxiang Sun
Sensors 2020, 20(5), 1532; https://doi.org/10.3390/s20051532  
Available online: https://www.mdpi.com/1424-8220/20/5/1532

6. “Insights in the Application of Stoichiometric and Non-Stoichiometric Titanium Oxides for the Design of Sensors for the Determination of Gases and VOCs (TiO_2−x and Ti_nO_2n−1 vs. TiO₂)”
by Simonas Ramanavicius and Arunas Ramanavicius
Sensors 2020, 20(23), 6833; https://doi.org/10.3390/s20236833
Available online: https://www.mdpi.com/1424-8220/20/23/6833

7. “A Prototype Microwave System for 3D Brain Stroke Imaging”
by Jorge A. Tobon Vasquez, Rosa Scapaticci, Giovanna Turvani, Gennaro Bellizzi, David O. Rodriguez-Duarte, Nadine Joachimowicz, Bernard Duchêne, Enrico Tedeschi, Mario R. Casu, Lorenzo Crocco and Francesca Vipiana
Sensors 2020, 20(9), 2607; https://doi.org/10.3390/s20092607  
Available online: https://www.mdpi.com/1424-8220/20/9/2607

8. “Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review”
by Ive Weygers, Manon Kok, Marco Konings, Hans Hallez, Henri De Vroey and Kurt Claeys
Sensors 2020, 20(3), 673; https://doi.org/10.3390/s20030673
Available online: https://www.mdpi.com/1424-8220/20/3/673

9. “Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures”
by Christoph Kralovec and Martin Schagerl
Sensors 2020, 20(3), 826; https://doi.org/10.3390/s20030826  
Available online: https://www.mdpi.com/1424-8220/20/3/826

10. “Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring by Comparing Measurement Sites”
by Hsuan-Yu Chen, Andrew Chen and Chiachung Chen
Sensors 2020, 20(10), 2885; https://doi.org/10.3390/s20102885  
Available online: https://www.mdpi.com/1424-8220/20/10/2885

Stanford University has recently published an update of their World’s Top 2% Scientists List, which ranks the most widely cited researchers across the globe. The time node of the statistical data of this list is from 1960 to 2022, and it is divided into two lists: "Lifetime Scientific Influence Ranking" and "2022 Annual Scientific Influence Ranking". The "Lifetime Scientific Influence Ranking" counts the comprehensive influence performance of scientists during their careers, and the "2022 Annual Influence Ranking" focuses on highlighting the academic influence of scientists in the previous year. This ranking, considered the most prestigious worldwide, is based on the bibliometric information contained in the Scopus database and includes more than 200,000 researchers from the more than 10 million scientists considered to be active worldwide, with 22 scientific fields and 176 subfields taken into account.

We are pleased to share that 587 Editorial Board Members from MDPI’s journal Sensors (ISSN: 1424-8220) were featured in Stanford’s List of the World’s Top 2% Scientists in 2022.

The latest Stanford rankings reflect the significant influence and research excellence of these scientists, whom are all committed to furthering their knowledge for the benefit of the world.

We would like to congratulate our Editorial Board Members on their excellent achievement and thank them for their immense contribution to the scientific progression and development of Sensors.

Conference: The 13th China Satellite Navigation Conference
Date: 16–18 November 2022
Place: Beijing, China

Sensors (ISSN: 1424-8220) will be attending the 13th China Satellite Navigation Conference as an exhibitor. This meeting will take place from 16 to 18 November in Beijing, China.

The China Satellite Navigation Conference (CSNC) is an open academic exchange platform. It aims to strengthen academic innovation and promote the cooperation and exchange of satellite navigation systems, strengthen technological innovation and promote the engineering construction of satellite navigation systems, strengthen theoretical innovation and promote the progress of satellite navigation theories, and strengthen application innovation and promote the scientific development of satellite navigation industry. The conference has been successfully held for 12 years and has produced a large number of excellent results in academic, technical, theoretical, application, and talent aspects.

The following MDPI journals will be represented:

• Sensors;
• Remote Sensing;
• Atmosphere;
• Aerospace;
• Technologies;
• Drones;
• Signals;
• Smart Cities;
• AI;
• Geomatics.

If you are planning to attend this conference, please do not hesitate to start an online conversation with us (booth #B18). Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about the conference and virtual booth, please visit the following website: https://www.beidou.org/annualmeeting.html.