Wenfa Li
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Papers in
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- Security and Verification in Computing 4
- Text and Document Classification Technologies 3
- Anomaly Detection Techniques and Applications 2
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- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 2
- Co-authors
- Peng Yang (1 shared paper)Hongzhe Liu (2 shared papers)Wei Xie (1 shared paper)Weiwei Cai (1 shared paper)Xin Ning (1 shared paper)Liping Zhang (1 shared paper)Lina Yu (1 shared paper)Dong Peng (1 shared paper)
- Journals
- Electronics (4 papers)IEEE Access (2 papers)Displays (2 papers)PLoS ONE (1 paper)Computer Communications (1 paper)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Wenfa Li
23 papers receiving 395 citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 106
- Health Informatics 4
- Artificial Intelligence 75
- Media Technology 14
- Information Systems 35
Countries citing papers authored by Wenfa Li
This map shows the geographic impact of Wenfa 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 Wenfa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenfa Li more than expected).
Fields of papers citing papers by Wenfa Li
This network shows the impact of papers produced by Wenfa 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 Wenfa Li. The network helps show where Wenfa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenfa Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 143 | |
| 2 | 2021 | 72 | |
| 3 | 2023 | 62 | |
| 4 | 2021 | 19 | |
| 5 | 2019 | 19 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 4 | |
| 15 | Multi-Target Stance Detection Based on GRU-PWV-CNN Network Model | 2021 | 3 |
| 16 | 2021 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Wenfa Li
Wenfa Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Security and Verification in Computing (4 papers), Advanced Malware Detection Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Text and Document Classification Technologies (3 papers), Advanced X-ray and CT Imaging (2 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Health Informatics (4 citations), Artificial Intelligence (75 citations), Media Technology (14 citations) and Information Systems (35 citations). Wenfa Li has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Peng Yang, Hongzhe Liu, Wei Xie, Weiwei Cai, Xin Ning, Liping Zhang, Lina Yu, Dong Peng, Gongming Wang and Chen Wang. Their work appears in journals such as Electronics, IEEE Access, Displays, PLoS ONE and Computer Communications.
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.