Runpeng Cui
Impact in
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
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- Hearing Impairment and Communication
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
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- Machine Learning and Data Classification 2
- Co-authors
- Changshui Zhang (6 shared papers)Hu Liu (1 shared paper)Kun Fu (1 shared paper)Junqi Jin (1 shared paper)Fei Sha (1 shared paper)Kun Gai (2 shared papers)Ying Fan (2 shared papers)Weijie Bian (2 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Neurocomputing (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Runpeng Cui
9 papers receiving 691 citations
Runpeng Cui's Hit Papers
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 498
- Developmental and Educational Psychology 321
- Computer Vision and Pattern Recognition 469
- Biomedical Engineering 214
- Artificial Intelligence 117
Countries citing papers authored by Runpeng Cui
This map shows the geographic impact of Runpeng Cui'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 Runpeng Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runpeng Cui more than expected).
Fields of papers citing papers by Runpeng Cui
This network shows the impact of papers produced by Runpeng Cui. 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 Runpeng Cui. The network helps show where Runpeng Cui may publish in the future.
Co-authors
The 13 scholars most cited alongside Runpeng Cui, 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 | A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training Hit paper breakdown → | 2019 | 271 |
| 2 | 2017 | 228 | |
| 3 | 2016 | 125 | |
| 4 | 2018 | 74 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 4 | |
| 7 | 2015 | 3 | |
| 8 | Rocket Launching: A unified and effecient framework for training well-behaved light net | 2017 | 2 |
| 9 | 2015 | 1 |
About Runpeng Cui
Runpeng Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Control and Systems Engineering and Signal Processing, having authored 9 papers that have together received 730 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Hand Gesture Recognition Systems (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Machine Learning and Data Classification (2 papers), Advanced Neural Network Applications (2 papers), Hearing Impairment and Communication (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (498 citations), Developmental and Educational Psychology (321 citations), Computer Vision and Pattern Recognition (469 citations), Biomedical Engineering (214 citations) and Artificial Intelligence (117 citations). Runpeng Cui has collaborated with scholars based in China and United States. Frequent co-authors include Changshui Zhang, Hu Liu, Hu Liu, Kun Fu, Junqi Jin, Fei Sha, Kun Gai, Ying Fan, Weijie Bian and Xiaoqiang Zhu. Their work appears in journals such as IEEE Transactions on Multimedia, Neurocomputing, IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.