Announcements

With the first issue released in June 2023, five new MDPI journals disseminating multi-disciplinary science are due to launch, which will cover the subjects of medicine & pharmacology, biology and physical sciences.

The newly launched journals will be overseen by professional Editorial Board Members and Editors to ensure an accurate and rapid publication, rigorous peer review and broad visibility.

Please feel free to browse and discover more about the new journals below.

Journal	Founding Editor-in-Chief	Journal topics (selected)
	Prof. Dr. Jun Ma, Peking University, China| Editorial | view inaugural issue	growth and development; diet and nutrients; school health promotion policies and practices; child health and care; adolescent health and wellbeing | view journal scope | submit an article
	Prof. Dr. Bernd Rehm, Griffith University, Australia | Editorial | view inaugural issue	DNA and gene synthesis; synthetic transcription factors; protein engineering; viral engineering; metabolic engineering | view journal scope | submit an article
	Prof. Dr. Varsha Gandhi, University of Texas MD Anderson Cancer Center, USA | Editorial | view inaugural issue	lymphatics; cancers associated with lymphocytes and lymphoblasts; lymphatic tissues; lymphoma; lymphoid leukemia | view journal scope | submit an article
	Dr. Bradley Turner, University of Melbourne, Australia | Editorial | view inaugural issue	multiple sclerosis; amyotrophic lateral sclerosis; primary lateral sclerosis; atherosclerosis; systemic sclerosis | view journal scope | submit an article
	Prof. Dr. Clemens Burda, Case Western Reserve University, USA | Editorial | view inaugural issue	Gamma ray, X-ray, and UV–Vis spectroscopies; NIR/mid-infrared/Raman spectroscopy; microwave and THz spectroscopy; high-resolution gas-phase atomic, molecular, and cluster spectroscopy; MS, NMR, and EPR spectroscopy | view journal scope | submit an article

We wish to thank everyone who has supported the development of open access publishing. You are welcome to submit an application to the New Journal Committee (newjournal-committee@mdpi.com) if you would like to create more new journals.

1. “A Review of Deep Learning Algorithms and Their Applications in Healthcare”
by Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Algorithms 2022, 15(2), 71; https://doi.org/10.3390/a15020071
Available online: https://www.mdpi.com/1999-4893/15/2/71

2. “Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data”
by Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka and Ahmed Abdelgawad
Algorithms 2022, 15(4), 129; https://doi.org/10.3390/a15040129
Available online: https://www.mdpi.com/1999-4893/15/4/129
 
3. “CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack”
by Md. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni and Khondokar Fida Hasan
Algorithms 2022, 15(8), 287; https://doi.org/10.3390/a15080287
Available online: https://www.mdpi.com/1999-4893/15/8/287
 
4. “Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications”
by L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal
Algorithms 2022, 15(11), 401; https://doi.org/10.3390/a15110401
Available online: https://www.mdpi.com/1999-4893/15/11/401
 
5. “Machine Learning in Cereal Crops Disease Detection: A Review”
by Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano and Samuel Rahimeto Kebede
Algorithms 2022, 15(3), 75; https://doi.org/10.3390/a15030075
Available online: https://www.mdpi.com/1999-4893/15/3/75
 
6. “Reducing the False Negative Rate in Deep-Learning-Based Network Intrusion Detection Systems”
by Jovana Mijalkovic and Angelo Spognardi
Algorithms 2022, 15(8), 258; https://doi.org/10.3390/a15080258
Available online: https://www.mdpi.com/1999-4893/15/8/258
 
7. “Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures”
by Alireza Namdari, Maryam Asad Samani, and Tariq S. Durrani
Algorithms 2022, 15(11), 393; https://doi.org/10.3390/a15110393
Available online: https://www.mdpi.com/1999-4893/15/11/393
 
8. “Graph-Based Feature Selection for Reduction of Dimensionality in Next-Generation RNA Sequencing Datasets”
by Consolata Gakii, Paul O. Mireji and Richard Rimiru
Algorithms 2022, 15(1), 21; https://doi.org/10.3390/a15010021
Available online: https://www.mdpi.com/1999-4893/15/1/21
 
9. “Machine-Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications”
by Marco Bindi, Fabio Corti, Igor Aizenberg, Francesco Grasso, Gabriele Maria Lozito, Antonio Luchetta, Maria Cristina Piccirilli and Alberto Reatti
Algorithms 2022, 15(3), 74; https://doi.org/10.3390/a15030074
Available online: https://www.mdpi.com/1999-4893/15/3/74

10. “On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study”
by Alessio Martino, Luca Baldini and Antonello Rizzi
Algorithms 2022, 15(5), 148; https://doi.org/10.3390/a15050148
Available online: https://www.mdpi.com/1999-4893/15/5/148
 
11. “A Federated Generalized Linear Model for Privacy-Preserving Analysis”
by Matteo Cellamare, Anna J. van Gestel, Hasan Alradhi, Frank Martin and Arturo Moncada-Torres
Algorithms 2022, 15(7), 243; https://doi.org/10.3390/a15070243
Available online: https://www.mdpi.com/1999-4893/15/7/243
 
12. “Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network”
by Krishna Patel, Chintan Bhatt and Pier Luigi Mazzeo
Algorithms 2022, 15(12), 473; https://doi.org/10.3390/a15120473 
Available online: https://www.mdpi.com/1999-4893/15/12/473

1. “Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning”
by Yuqing Hu, Stéphane Pateux and Vincent Gripon
Algorithms 2022, 15(5), 147; https://doi.org/10.3390/a15050147
Available online: https://www.mdpi.com/1999-4893/15/5/147
 
2. “Enhanced Maximum Power Point Techniques for Solar Photovoltaic System under Uniform Insolation and Partial Shading Conditions: A Review”
by Laxman Bhukya, Narender Reddy Kedika and Surender Reddy Salkuti
Algorithms 2022, 15(10), 365; https://doi.org/10.3390/a15100365
Available online: https://www.mdpi.com/1999-4893/15/10/365
 
3. “A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse”
by Alexandru-George Rusu, Constantin Paleologu, Jacob Benesty and Silviu Ciochină
Algorithms 2022, 15(4), 111; https://doi.org/10.3390/a15040111
Available online: https://www.mdpi.com/1999-4893/15/4/111
 
4. “Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm”
by Oscar Danilo Montoya, Walter Gil-González and Luis Fernando Grisales-Noreña
Algorithms 2022, 15(8), 277; https://doi.org/10.3390/a15080277
Available online: https://www.mdpi.com/1999-4893/15/8/277
 
5. “A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software”
by Juan J. Torres, Can Li, Robert M. Apap and Ignacio E. Grossmann
Algorithms 2022, 15(4), 103; https://doi.org/10.3390/a15040103
Available online: https://www.mdpi.com/1999-4893/15/4/103

6. “A Two-Party Quantum Parliament”
by Theodore Andronikos and Michail Stefanidakis
Algorithms 2022, 15(2), 62; https://doi.org/10.3390/a15020062
Available online: https://www.mdpi.com/1999-4893/15/2/62
 
7. “Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction”
by Leonardo Lucio Custode, Hyunho Mo, Andrea Ferigo and Giovanni Iacca
Algorithms 2022, 15(3), 98; https://doi.org/10.3390/a15030098
Available online: https://www.mdpi.com/1999-4893/15/3/98
 
8. “Binary Horse Optimization Algorithm for Feature Selection”
by Dorin Moldovan
Algorithms 2022, 15(5), 156; https://doi.org/10.3390/a15050156
Available online: https://www.mdpi.com/1999-4893/15/5/156
 
9. “Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation”
by Misgana Negassi, Diane Wagner and Alexander Reiterer
Algorithms 2022, 15(5), 165; https://doi.org/10.3390/a15050165
Available online: https://www.mdpi.com/1999-4893/15/5/165
 
10. “Design of Multi-Objective-Based Artificial Intelligence Controller for Wind/Battery-Connected Shunt Active Power Filter”
by Srilakshmi Koganti, Krishna Jyothi Koganti and Surender Reddy Salkuti
Algorithms 2022, 15(8), 256; https://doi.org/10.3390/a15080256
Available online: https://www.mdpi.com/1999-4893/15/8/256
 
11. “A Survey on Fault Diagnosis of Rolling Bearings”
by Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang and Shuting Wan
Algorithms 2022, 15(10), 347; https://doi.org/10.3390/a15100347
Available online: https://www.mdpi.com/1999-4893/15/10/347

We are pleased to share that Algorithms (ISSN: 1999-4893) has received its first Impact Factor of 2.3 in the Journal Citation Reports™ (Clarivate) in June 2023. 

Algorithms continues to be indexed in the Emerging Sources Citation Index (ESCI) within the Web of Science Core Collection. This is the first time that Clarivate has awarded Impact Factors to journals outside of the core flagship indices, SCIE and SSCI, creating greater transparency around the citedness of ESCI-indexed journals. 

The 2022 Journal Impact Factor is calculated by dividing the number of citations of publications in a journal in the Web of Science records in 2022 by the number of citable publications published in the journal in 2020 and 2021. For further journal data, please visit https://www.mdpi.com/journal/algorithms/stats. 

The journal’s performance is inseparable from the support and dedication of all journal editors, reviewers, authors, and readers. We would like to take this opportunity to thank all of you who have contributed to the journal.

We are pleased to announce the launch of a new initiative—the Algorithms Special Issue Mentor Program. 

This program will enable early career researchers (must hold a Ph.D. in a related field) to experience editing a Special Issue in MDPI journals, under the mentorship of our experienced Editorial Board Members or other experienced scientists. The mentor program will provide an excellent opportunity for early career scientists to gain editorial experience, and to cultivate their ability to edit scientific research. 

The mentee’s responsibilities include:

• Proposing a Special Issue title and assisting the mentor in preparing a summary (around 200–400 words) and 3–10 keywords describing the background, importance, and goal of the Special Issue;
• Writing a brief promotion plan for the Special Issue;
• Preparing a list of scholars that may be interested in the Special Issue and personally e-mail the invitations on behalf of Guest Editors;
• Writing an editorial for the online Special Issue together with the mentor. 

The mentor’s responsibilities include:

• Conducting a final check before the Special Issue is published online;
• Performing editorial control of the Special Issue and quality control of the publications in a timely manner;
• Providing suggestions to younger scholars if they have any doubts or concerns regarding submissions;
• Organizing video calls with young scholars and the Editorial Office regularly to discuss problems and improvement suggestions for the Special Issue;
• Making and submitting decisions for the submissions under the assistance of mentees. 

Certificates and Awards:
After the Special Issue closes, the Editorial Office will provide official certificates for all the mentors and mentees. 

If you are interested in this opportunity, please send your Special Issue proposal to the Algorithms Editorial Office (algorithms@mdpi.com), and we will discuss the process (i.e., mentor collaboration, Special Issue topic feasibility analysis, etc.) in further detail. 

In addition to the new Special Issue Mentor Program, Algorithms (ISSN: 1999-4893) will continue to welcome all Special Issue proposals focused on hot research topics.

On 10 July 2023, MDPI and the journals AI, Algorithms, Big Data and Cognitive Computing, Computers, Educational Sciences, Future Internet, Informatics, Information, Languages and Publications organized the webinar AI Chatbots: Threat or Opportunity? II.

Webinar summary from Dr. Hossein Hassani, the webinar Chair:

The highly anticipated webinar AI Chatbots: Threat or Opportunity?, provided valuable insights on a crucial subject. The event shed light on the various advantages of AI chatbots, such as enhanced learning experience, scalability and accessibility, continuous availability, and consistency in teaching. it also addressed concerning issues, including the lack of human interaction, limited adaptability, technical limitations, and ethical considerations.

During the webinar, the broader implications of these advancements, particularly in relation to the SDG 4 goal of education for all, were discussed. The participants recognized the rapid progress of technology in developed countries while acknowledging the significant disparities in access to the internet and electricity in regions like Africa and Asia, as emphasized in SDG 4 and SDG 7. It was emphasized that taking appropriate action and addressing the existing gaps in SDGs are vital to ensuring that no one is left behind.

I would like to express my sincere gratitude to the panellists, Dr. Chung Kwan Lo and Dr. Jaime Cárdenas-García, my colleagues at MDPI, Marisa Zalabak for the great comments and suggestions, and the various MDPI journals for their invaluable support and for driving this timely and important initiative.

Please note that this webinar is associated with the Topic “AI Chatbots: Threat or Opportunity?”. The abstract submission deadline is 29 February 2024.

In addition, the first webinar of the series was held on 27 June 2023, 3 p.m. (CEST). For more information, or to watch the recording of the first webinar, please visit the webpage via the following link: https://www.mdpi.com/about/announcements/6047.

You can watch the recorded webinar at the following link: https://youtu.be/X5oTzdG5z70.

Webinar Chair and Keynote Speakers:

• Hossein Hassani, Webster Vienna Private University, Vienna, Austria;
• Chung Kwan Lo, Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China;
• Jaime F. Cárdenas-García, Department of Mechanical Engineering, University of Maryland, Baltimore County, Baltimore, United States.

The 2022 citation metrics have been released in the Journal Citation Reports (JCR), and we’re pleased to announce the following results for MDPI journals:

We are thrilled to announce that 90% of our ranked MDPI journals, specifically 86 out of 96 (captured in the table below), are performing above average in Q1 or Q2. This year, Clarivate has expanded its Impact Factor (IF) awards to include journals in the Emerging Sources Citation Index (ESCI) and the Arts and Humanities Citation Index (AHCI), providing greater transparency for the full set of journals indexed in the Web of Science Core Collection. As a result, 111 of MDPI journals have received their first IF in 2023, with 37 journals surpassing an IF of 3.0. In total, 208 MDPI journals have been honored with an IF.

Clarivate explains that by "expanding the coverage but holding to highly selective standards, the [Impact Factor] is now a reliable indicator of trustworthiness, as well as a measure of scholarly impact, at the journal level."

Please visit our blog post where we discuss the release of the latest citation metrics with our Indexing Manager, Dr. Constanze Schelhorn, to find out what's different this time around and how to make use of different metrics available.

Note: The Journal of Personalized Medicine's Impact Factor was omitted in the original release and will be assigned separately. Please find the data on the journal webpage in due course.

Source: 2022 Journal Impact Factors, Journal Citation Reports ^TM (Clarivate, 2023)

ChatGPT is a language model launched by OpenAI in November 2022. It has many uses, including chatbots, text summarization, language translation, and content creation. Educators view it as potentially concerning, as it offers powerful opportunities for students to produce work for assessment. Some have experimented with ChatGPT and are amazed by the quality of outputs; however, there are calls for a pause in AI development due to concerns about its impact. We hope that the established MDPI Topic “AI Chatbots: Threat or Opportunity?” will provide a suitable communication platform.

“AI Chatbots: Threat or Opportunity?”
by Antony Bryant
Informatics 2023, 10(2), 49; https://doi.org/10.3390/informatics10020049 

“SAPBERT: Speaker-Aware Pretrained BERT for Emotion Recognition in Conversation”
by Seunguook Lim and Jihie Kim
Algorithms 2023, 16(1), 8; https://doi.org/10.3390/a16010008

“Challenges and Limitations of ChatGPT and Artificial Intelligence for Scientific Research: A Perspective from Organic Materials”
by Hao-Wen Cheng
AI 2023, 4(2), 401-405; https://doi.org/10.3390/ai4020021

“The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field”
by Hossein Hassani and Emmanuel Sirmal Silva
Big Data Cogn. Comput. 2023, 7(2), 62; https://doi.org/10.3390/bdcc7020062

“Can ChatGPT Help in Electronics Research and Development? A Case Study with Applied Sensors”
by Zoltán Tafferner, Illés Balázs, Olivér Krammer and Attila Géczy
Sensors 2023, 23(10), 4879; https://doi.org/10.3390/s23104879  

“ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics”
by Luis M. Sánchez-Ruiz, Santiago Moll-López, Adolfo Nuñez-Pérez, José Antonio Moraño-Fernández and Erika Vega-Fleitas
Appl. Sci. 2023, 13(10), 6039; https://doi.org/10.3390/app13106039  

“ChatGPT for Education and Research: Opportunities, Threats, and Strategies”
by Md. Mostafizer Rahman and Yutaka Watanobe
Appl. Sci. 2023, 13(9), 5783; https://doi.org/10.3390/app13095783

“Info-Autopoiesis and the Limits of Artificial General Intelligence”
by Jaime F. Cárdenas-García
Computers 2023, 12(5), 102; https://doi.org/10.3390/computers12050102

“ChatGPT in Supply Chains: Initial Evidence of Applications and Potential Research Agenda”
by Guilherme Francisco Frederico
Logistics 2023, 7(2), 26; https://doi.org/10.3390/logistics7020026

“What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature”
by Chung Kwan Lo
Educ. Sci. 2023, 13(4), 410; https://doi.org/10.3390/educsci13040410

Topics Webinar | AI Chatbots: Threat or Opportunity?
Date and time: 27 June 2023 at 3:00 p.m. (CEST)

Topics Webinar | AI Chatbots: Threat or Opportunity? II
Date and time: 10 July 2023 at 3:00 p.m. (CEST)
This is a free webinar. After registering, you will receive a confirmation email containing information on how to join the webinar

On 27 June 2023, MDPI, and the journals AI, Algorithms, Big Data and Cognitive Computing (BDCC), Future Internet, Informatics, Information, Languages and Publications, organized the webinar AI Chatbots: Threat or Opportunity?.

The first presentation, delivered by Dr. Ibrahim Demir, tackled “AI Chatbots: Opportunities and Challenges in Engineering Research, Education and Practice”. Dr. Demir is the Director of the UI Hydroinformatics Lab and serves as an Associate Professor in both the Civil and Environmental Engineering and Electrical and Computer Engineering departments at the University of Iowa, Iowa City, USA.

The second presenter was Dr. Haridimos Kondylakis, who presented his paper on “SummaryGPT: Leveraging ChatGPT for Summarizing Knowledge Graphs”. He is a researcher with FORTH-ICS in Greece.

Please note that this webinar is associated with the Topic titled “AI Chatbots: Threat or Opportunity?”. The abstract submission deadline is 29 February 2024.

In addition, the second webinar of the series will be held on 10 July 2023, 3 p.m. (CEST). For more information, or to register for the webinar, please visit the webpage via the following link: https://www.mdpi.com/about/announcements/6117.

You can watch the recorded webinar at the following link: https://youtu.be/lWEDnfGObzI.

Keynote Speakers:

• Ibrahim Demir, University of Iowa, Iowa City, USA;
• Haridimos Kondylakis, Institute of Computer Science, FORTH, Greece.