Bing Li
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- Advanced Neural Network Applications 32
- Advanced Image and Video Retrieval Techniques 32
- Image Enhancement Techniques 30
- Image and Signal Denoising Methods 21
- Video Surveillance and Tracking Methods 19
- Human Pose and Action Recognition 19
- Media Technology top 0.5%
- Advanced Image Fusion Techniques 21
- Human-Computer Interaction top 1%
- Strategy and Management top 2%
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications 19
- Co-authors
- Weiming HuChunfeng YuanAkintola AkintoyeCliff HardcastlePeter EdwardsScott T. ActonWeihua XiongYuxin Chen
- Journals
- IEEE Transactions on Image Processing (14 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (8 papers)IEEE Transactions on Circuits and Systems for Video Technology (7 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bing Li
224 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 486
- Human-Computer Interaction 255
- Strategy and Management 608
- Artificial Intelligence 1.3k
Countries citing papers authored by Bing Li
This map shows the geographic impact of Bing 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 Bing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Li more than expected).
Fields of papers citing papers by Bing Li
This network shows the impact of papers produced by Bing 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 Bing Li. The network helps show where Bing Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 45 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 23 | |
| 16 | Rethinking the Competition Between Detection and ReID in Multiobject Trackingbreakdown → | 2022 | 201 |
| 17 | 2021 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 18 | |
| 20 | Color Constant Descriptors Combining Image Derivative Structures | 2012 | 1 |
About Bing Li
Bing Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics, having authored 252 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (32 papers), Advanced Image and Video Retrieval Techniques (32 papers), Image Enhancement Techniques (30 papers), Advanced Image Fusion Techniques (21 papers), Image and Signal Denoising Methods (21 papers), Video Surveillance and Tracking Methods (19 papers), Human Pose and Action Recognition (19 papers) and Anomaly Detection Techniques and Applications (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (486 citations) and Human-Computer Interaction (255 citations). Bing Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weiming Hu, Chunfeng Yuan, Akintola Akintoye, Cliff Hardcastle, Peter Edwards, Scott T. Acton, Weihua Xiong, Weiming Hu, Yuxin Chen and Stephen J. Maybank. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Sciences.
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.