Wei Li

28.1k total citations · 24 hit papers
723 papers, 20.6k citations indexed

About

Wei Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Wei Li has authored 723 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 363 papers in Media Technology, 300 papers in Computer Vision and Pattern Recognition and 150 papers in Atmospheric Science. Recurrent topics in Wei Li's work include Remote-Sensing Image Classification (312 papers), Remote Sensing and Land Use (146 papers) and Advanced Image Fusion Techniques (133 papers). Wei Li is often cited by papers focused on Remote-Sensing Image Classification (312 papers), Remote Sensing and Land Use (146 papers) and Advanced Image Fusion Techniques (133 papers). Wei Li collaborates with scholars based in China, United States and Australia. Wei Li's co-authors include Qian Du, Ran Tao, Mengmeng Zhang, Fan Zhang, James E. Fowler, Saurabh Prasad, Guodong Wu, Heng-Chao Li, Bing Zhang and Chen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Wei Li

641 papers receiving 20.2k citations

Hit Papers

Hyperspectral Image Classification Using Deep Pixel-Pair ... 2011 2026 2016 2021 2016 2014 2015 2017 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei Li China 73 13.2k 7.3k 6.3k 3.4k 2.7k 723 20.6k
Bo Du China 79 11.8k 0.9× 8.8k 1.2× 6.0k 1.0× 5.3k 1.5× 1.6k 0.6× 603 22.3k
Shutao Li China 78 18.2k 1.4× 12.7k 1.7× 5.6k 0.9× 3.6k 1.0× 2.0k 0.7× 430 26.6k
Danfeng Hong China 59 10.2k 0.8× 5.7k 0.8× 4.0k 0.6× 2.2k 0.6× 1.7k 0.6× 247 15.3k
Qian Du United States 90 25.2k 1.9× 10.7k 1.5× 12.7k 2.0× 4.9k 1.4× 2.7k 1.0× 734 32.8k
Pedram Ghamisi Germany 69 11.9k 0.9× 4.9k 0.7× 6.9k 1.1× 3.0k 0.9× 900 0.3× 270 18.5k
Chein‐I Chang United States 48 10.3k 0.8× 3.2k 0.4× 5.3k 0.8× 2.3k 0.7× 1.4k 0.5× 350 13.3k
Xiuping Jia Australia 62 11.9k 0.9× 5.1k 0.7× 6.7k 1.1× 2.2k 0.7× 1.0k 0.4× 351 17.7k
Junwei Han China 85 9.2k 0.7× 19.2k 2.6× 2.2k 0.3× 5.3k 1.5× 3.2k 1.2× 497 28.8k
Jocelyn Chanussot France 91 28.9k 2.2× 15.3k 2.1× 11.1k 1.7× 4.0k 1.2× 2.7k 1.0× 536 37.2k
Lianru Gao China 53 9.1k 0.7× 4.1k 0.6× 4.1k 0.6× 1.6k 0.5× 1.1k 0.4× 277 12.2k

Countries citing papers authored by Wei Li

Since Specialization
Citations

This map shows the geographic impact of Wei Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Li more than expected).

Fields of papers citing papers by Wei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Li. The network helps show where Wei Li may publish in the future.

Co-authorship network of co-authors of Wei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Li. A scholar is included among the top collaborators of Wei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Li. Wei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Wei, et al.. (2025). S3H: Long-tailed classification via spatial constraint sampling, scalable network, and hybrid task. Neural Networks. 185. 107247–107247. 1 indexed citations
2.
Li, Peng, et al.. (2025). Wind power forecasting using hybrid ICEEMDAN-KPCA and IWOA-BiLSTM models. International Journal of Electrical Power & Energy Systems. 173. 111445–111445.
4.
Li, Wei, et al.. (2024). SAIPy: A Python package for single-station earthquake monitoring using deep learning. Computers & Geosciences. 192. 105686–105686. 2 indexed citations
5.
Wang, Shanshan, et al.. (2024). Identifying percolation phase transitions with unsupervised learning based on largest clusters. Physics Letters A. 531. 130179–130179. 1 indexed citations
6.
Wang, Yuanhang, Du-Xin Liu, Sheng Guo, et al.. (2024). Regression Method for Rail Fastener Tightness Based on Center-Line Projection Distance Feature and Neural Network. Chinese Journal of Mechanical Engineering. 37(1). 3 indexed citations
7.
Xiao, Fen, et al.. (2024). Integrating category-related key regions with a dual-stream network for remote sensing scene classification. Journal of Visual Communication and Image Representation. 100. 104098–104098. 2 indexed citations
9.
Ye, Zhen, et al.. (2024). HR and LiDAR Data Collaborative Semantic Segmentation Based on Adaptive Cross-Modal Fusion Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12153–12168.
10.
Zhang, Jinxin, Wei Li, Weidong Sun, Yuxiang Zhang, & Ran Tao. (2023). Locality Robust Domain Adaptation for cross-scene hyperspectral image classification. Expert Systems with Applications. 238. 121822–121822. 9 indexed citations
11.
Li, Jiangyun, et al.. (2023). Positive–negative equal contrastive loss for semantic segmentation. Neurocomputing. 535. 13–24. 4 indexed citations
12.
Li, Fudong, et al.. (2023). MagicCubePose, A more comprehensive 6D pose estimation network. Scientific Reports. 13(1). 6923–6923.
13.
14.
Gong, Maoguo, et al.. (2023). An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 10 indexed citations
15.
Zhang, Mengmeng, Xudong Zhao, Wei Li, et al.. (2023). Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11514–11526. 90 indexed citations breakdown →
16.
Li, Jun, et al.. (2022). Change Detection of Open-Pit Mine Based on Siamese Multiscale Network. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 9 indexed citations
17.
Hou, Xuyan, et al.. (2020). A Novel Mobile Robot Navigation Method Based on Hand-Drawn Paths. IEEE Sensors Journal. 20(19). 11660–11673. 9 indexed citations
18.
Wang, Jingya, Xiatian Zhu, Shaogang Gong, & Wei Li. (2017). Attribute Recognition by Joint Recurrent Learning of Context and Correlation. Queen Mary Research Online (Queen Mary University of London). 531–540. 99 indexed citations
19.
Wang, Zhe & Wei Li. (2015). Trend Analysis of the Changes and Applications of Drug Registration Regulation in China. Biotechnology Law Report. 34(1). 9–13. 1 indexed citations
20.
Li, Wei & Minjie Zhang. (2001). MAT: a Mobile Agent System for Supporting Autonomous Mobile Agents. Research Online (University of Wollongong). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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