Bin Ji
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 5
- Face recognition and analysis 3
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- Biosensors and Analytical Detection 6
- Microfluidic and Capillary Electrophoresis Applications 3
- Co-authors
- Limin Wang (2 shared papers)Zhan Tong (1 shared paper)Gangshan Wu (1 shared paper)Bin Kang (1 shared paper)Xintian Shi (1 shared paper)Yan Li (1 shared paper)Jianguo Zhang (1 shared paper)Ye Pan (4 shared papers)
- Journals
- Talanta (2 papers)Microchemical Journal (2 papers)IEEE Transactions on Cybernetics (1 paper)Small Methods (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited KingdomBelarus
In The Last Decade
Bin Ji
26 papers receiving 804 citations
Bin Ji's Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 650
- Human-Computer Interaction 105
- Artificial Intelligence 389
- Biomedical Engineering 247
- Endocrinology, Diabetes and Metabolism 46
Countries citing papers authored by Bin Ji
This map shows the geographic impact of Bin Ji'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 Bin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ji more than expected).
Fields of papers citing papers by Bin Ji
This network shows the impact of papers produced by Bin Ji. 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 Bin Ji. The network helps show where Bin Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ji, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TEA: Temporal Excitation and Aggregation for Action Recognition Hit paper breakdown → | 2020 | 368 |
| 2 | TDN: Temporal Difference Networks for Efficient Action Recognition Hit paper breakdown → | 2021 | 310 |
| 3 | 2023 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2013 | 2 |
About Bin Ji
Bin Ji is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Molecular Biology and Control and Systems Engineering, having authored 30 papers that have together received 822 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Human Pose and Action Recognition (5 papers), Human Motion and Animation (4 papers), SARS-CoV-2 detection and testing (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Face recognition and analysis (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (650 citations), Human-Computer Interaction (105 citations), Artificial Intelligence (389 citations), Biomedical Engineering (247 citations) and Endocrinology, Diabetes and Metabolism (46 citations). Bin Ji has collaborated with scholars based in China, United Kingdom and Belarus. Frequent co-authors include Limin Wang, Zhan Tong, Gangshan Wu, Bin Kang, Xintian Shi, Yan Li, Jianguo Zhang, Ye Pan, Fang Fang and Zhiyong Wu. Their work appears in journals such as Talanta, Microchemical Journal, IEEE Transactions on Cybernetics, Small Methods and Analytical Chemistry.
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.