Forests | Invitation to Read 2021–2022 Highly Cited Papers in Web of Science

We are delighted to present a list of papers from 2021 and 2022 that have been highly cited in Web of Science. A curated list of high-quality articles from Forests (ISSN: 1999-4907) is shown below.

“Structure and Stability of Agroforestry Ecosystems: Insights into the Improvement of Service Supply Capacity of Agroforestry Ecosystems under the Karst Rocky Desertification Control”
by Shilian Jiang, Kangning Xiong and Jie Xiao
Forests 2022, 13(6), 878; https://doi.org/10.3390/f13060878
Available online: https://www.mdpi.com/1999-4907/13/6/878
Cited by 16 | Viewed by 2216

“Estimating Aboveground Biomass in Dense Hyrcanian Forests by the Use of Sentinel-2 Data”
by Fardin Moradi, Asghar Darvishsefat, Manizheh Rajab Pourrahmati, Azade Deljouei and Stelian Alexandru Borz
Forests 2022, 13(1), 104; https://doi.org/10.3390/f13010104
Available online: https://www.mdpi.com/1999-4907/13/1/104
Cited by 21 | Viewed by 2439

“Physiology of Plant Responses to Water Stress and Related Genes: A Review”
by Jiaojiao Wu, Jingyan Wang, Wenkai Hui, Feiyan Zhao, Peiyun Wang, Chengyi Su and Wei Gong
Forests 2022, 13(2), 324; https://doi.org/10.3390/f13020324
Available online: https://www.mdpi.com/1999-4907/13/2/324
Cited by 32 | Viewed by 7342

“Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass”
by Mi Luo, Yifu Wang, Yunhong Xie, Lai Zhou, Jingjing Qiao, Siyu Qiu and Yujun Sun
Forests 2021, 12(2), 216; https://doi.org/10.3390/f12020216
Available online: https://www.mdpi.com/1999-4907/12/2/216
Cited by 65 | Viewed by 5507

“Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review”
by André Duarte, Nuno Borralho, Pedro Cabral and Mário Caetano
Forests 2022, 13(6), 911; https://doi.org/10.3390/f13060911
Available online: https://www.mdpi.com/1999-4907/13/6/911
Cited by 16 | Viewed by 3809

“Conservation of Waterlogged Wood-Past, Present and Future Perspectives”
by Magdalena Broda and Callum A. S. Hill
Forests 2021, 12(9), 1193; https://doi.org/10.3390/f12091193
Available online: https://www.mdpi.com/1999-4907/12/9/1193
Cited by 41 | Viewed by 8337

“Global Change and Forest Disturbances in the Mediterranean Basin: Breakthroughs, Knowledge Gaps, and Recommendations”
by Josep Peñuelas and Jordi Sardans
Forests 2021, 12(5), 603; https://doi.org/10.3390/f12050603
Available online: https://www.mdpi.com/1999-4907/12/5/603
Cited by 42 | Viewed by 7218

“Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing-A Systematic Review. Part I: A General Framework”
by Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro and Alessandro Matese
Forests 2021, 12(3), 327; https://doi.org/10.3390/f12030327
Available online: https://www.mdpi.com/1999-4907/12/3/327
Cited by 39 | Viewed by 5986

“Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method”
by Slobodan Milanović, Nenad Marković, Dragan Pamučar, Ljubomir Gigović, Pavle Kostić and Sladjan D. Milanović
Forests 2021, 12(1), 5; https://doi.org/10.3390/f12010005
Available online: https://www.mdpi.com/1999-4907/12/1/5
Cited by 47 | Viewed by 5672

“Experiencing Urban Green and Blue Spaces in Urban Wetlands as a Nature-Based Solution to Promote Positive Emotions”
by Hongyan Li, Jiaxi Peng, Yang Jiao and Shengshu Ai
Forests 2022, 13(3), 473; https://doi.org/10.3390/f13030473
Available online: https://www.mdpi.com/1999-4907/13/3/473
Cited by 13 | Viewed by 2352

“A Forest Fire Detection System Based on Ensemble Learning”
by Renjie Xu, Haifeng Lin, Kangjie Lu, Lin Cao and Yunfei Liu
Forests 2021, 12(2), 217; https://doi.org/10.3390/f12020217
Available online: https://www.mdpi.com/1999-4907/12/2/217
Cited by 225 | Viewed by 14041

“Individual Tree Crown Segmentation Directly from UAV-Borne LiDAR Data Using the PointNet of Deep Learning”
by Xinxin Chen, Kang Jiang, Yushi Zhu, Xiangjun Wang and Ting Yun
Forests 2021, 12(2), 131; https://doi.org/10.3390/f12020131
Available online: https://www.mdpi.com/1999-4907/12/2/131
Cited by 53 | Viewed by 7570

“A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement”
by Zhenyang Xue, Haifeng Lin and Fang Wang
Forests 2022, 13(8), 1332; https://doi.org/10.3390/f13081332
Available online: https://www.mdpi.com/1999-4907/13/8/1332
Cited by 26 | Viewed by 4299

“Review of Wood Modification and Wood Functionalization Technologies”
by Samuel L. Zelinka, Michael Altgen, Lukas Emmerich, Nathanael Guigo, Tobias Keplinger, Maija Kymäläinen, Emil E. Thybring and Lisbeth G. Thygesen
Forests 2022, 13(7), 1004; https://doi.org/10.3390/f13071004
Available online: https://www.mdpi.com/1999-4907/13/7/1004
Cited by 24 | Viewed by 5822

“Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (Cyclobalanopsis glauca (Thunberg) Oersted) under Climate Change Scenarios in China”
by Lijuan Zhang, Lianqi Zhu, Yanhong Li, Wenbo Zhu and Yingyong Chen
Forests 2022, 13(1), 126; https://doi.org/10.3390/f13010126
Available online: https://www.mdpi.com/1999-4907/13/1/126
Cited by 11 | Viewed by 2497

“Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing-A Systematic Review. Part II: Research Applications”
by Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro and Alessandro Matese
Forests 2021, 12(4), 397; https://doi.org/10.3390/f12040397
Available online: https://www.mdpi.com/1999-4907/12/4/397
Cited by 51 | Viewed by 6600

“MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia”
by Arshad Mahmood Khan, Qingting Li, Zafeer Saqib, Nasrullah Khan, Tariq Habib, Nadia Khalid, Muhammad Majeed and Aqil Tariq
Forests 2022, 13(5), 715; https://doi.org/10.3390/f13050715
Available online: https://www.mdpi.com/1999-4907/13/5/715
Cited by 40 | Viewed by 4140

“A Hybrid Landslide Warning Model Coupling Susceptibility Zoning and Precipitation”
by Deliang Sun, Qingyu Gu, Haijia Wen, Shuxian Shi, Changlin Mi and Fengtai Zhang
Forests 2022, 13(6), 827; https://doi.org/10.3390/f13060827
Available online: https://www.mdpi.com/1999-4907/13/6/827
Cited by 18 | Viewed by 1792