Ke Cheng
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
Papers in
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- Human Pose and Action Recognition 3
- Context-Aware Activity Recognition Systems 2
- Video Surveillance and Tracking Methods 1
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- Market Dynamics and Volatility 4
- Energy, Environment, Economic Growth 2
- Co-authors
- Jian Cheng (3 shared papers)Yifan Zhang (3 shared papers)Hanqing Lu (2 shared papers)Xiangyu He (2 shared papers)Weihan Chen (1 shared paper)Xiaoguang Yang (5 shared papers)Lei Shi (1 shared paper)Yi Wu (1 shared paper)
- Journals
- Applied Energy (1 paper)IEEE Transactions on Image Processing (1 paper)Financial Innovation (1 paper)IEEE Access (1 paper)Pattern Recognition (1 paper)
- Partner nations
- China
In The Last Decade
Ke Cheng
9 papers receiving 819 citations
Ke Cheng's Hit Papers
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 192
- Computer Vision and Pattern Recognition 660
- General Energy 13
- Artificial Intelligence 351
- Biomedical Engineering 387
Countries citing papers authored by Ke Cheng
This map shows the geographic impact of Ke Cheng'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 Ke Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Cheng more than expected).
Fields of papers citing papers by Ke Cheng
This network shows the impact of papers produced by Ke Cheng. 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 Ke Cheng. The network helps show where Ke Cheng may publish in the future.
Co-authors
The 11 scholars most cited alongside Ke Cheng, 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 | Skeleton-Based Action Recognition With Shift Graph Convolutional Network Hit paper breakdown → | 2020 | 610 |
| 2 | 2016 | 84 | |
| 3 | 2021 | 49 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 19 | |
| 6 | 2012 | 10 | |
| 7 | 2014 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2015 | 5 |
About Ke Cheng
Ke Cheng is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics, Finance, Rehabilitation and Biomedical Engineering, having authored 9 papers that have together received 832 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (4 papers), Human Pose and Action Recognition (3 papers), Financial Risk and Volatility Modeling (3 papers), Gait Recognition and Analysis (2 papers), Context-Aware Activity Recognition Systems (2 papers), Energy, Environment, Economic Growth (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (192 citations), Computer Vision and Pattern Recognition (660 citations), General Energy (13 citations), Artificial Intelligence (351 citations) and Biomedical Engineering (387 citations). Ke Cheng has collaborated with scholars based in China. Frequent co-authors include Jian Cheng, Yifan Zhang, Hanqing Lu, Xiangyu He, Weihan Chen, Xiaoguang Yang, Lei Shi, Yi Wu, Hanqing Lu and Yan Zhang. Their work appears in journals such as Applied Energy, IEEE Transactions on Image Processing, Financial Innovation, IEEE Access and Pattern Recognition.
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.