Bingbing Ni
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Cognitive Neuroscience
- Co-authors
- Shuicheng YanPierre MoulinXiaokang YangAshraf A. KassimMeng WangQi TianRichang HongShenghua Gao
- Topics
- Human Pose and Action Recognition (11 papers)Hand Gesture Recognition Systems (7 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Bingbing Ni
20 papers receiving 421 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 184
- Biomedical Engineering 67
- Human-Computer Interaction 38
- Cognitive Neuroscience 18
Countries citing papers authored by Bingbing Ni
This map shows the geographic impact of Bingbing Ni'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 Bingbing Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingbing Ni more than expected).
Fields of papers citing papers by Bingbing Ni
This network shows the impact of papers produced by Bingbing Ni. 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 Bingbing Ni. The network helps show where Bingbing Ni may publish in the future.
Co-authorship network of co-authors of Bingbing Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Bingbing Ni. A scholar is included among the top collaborators of Bingbing Ni 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 Bingbing Ni. Bingbing Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 42 | |
| 9 | 23 | |
| 10 | 58 | |
| 11 | ADSC Submission at THUMOS Challenge 2015 | 8 |
| 12 | 47 | |
| 13 | 5 | |
| 14 | 39 | |
| 15 | 18 | |
| 16 | 46 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 8 | |
| 20 | 71 |
About Bingbing Ni
Bingbing Ni is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 426 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Hand Gesture Recognition Systems (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Human-Computer Interaction (38 citations) and Artificial Intelligence (184 citations). Bingbing Ni has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shuicheng Yan, Pierre Moulin, Xiaokang Yang, Ashraf A. Kassim, Meng Wang, Qi Tian, Richang Hong, Shenghua Gao, Qi Tian and Yang Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.