Ke Cheng

1.6k total citations · 1 hit paper
9 papers, 832 citations indexed

About

Ke Cheng is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics and Finance. According to data from OpenAlex, Ke Cheng has authored 9 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Economics and Econometrics and 3 papers in Finance. Recurrent topics in Ke Cheng's work include Market Dynamics and Volatility (4 papers), Financial Risk and Volatility Modeling (3 papers) and Human Pose and Action Recognition (3 papers). Ke Cheng is often cited by papers focused on Market Dynamics and Volatility (4 papers), Financial Risk and Volatility Modeling (3 papers) and Human Pose and Action Recognition (3 papers). Ke Cheng collaborates with scholars based in China. Ke Cheng's co-authors include Yifan Zhang, Jian Cheng, Hanqing Lu, Xiangyu He, Weihan Chen, Xiaoguang Yang, Lei Shi, Hanqing Lu, Yi Wu and Jun Tang and has published in prestigious journals such as Applied Energy, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ke Cheng

9 papers receiving 819 citations

Hit Papers

Skeleton-Based Action Recognition With Shift Graph Convol... 2020 2026 2022 2024 2020 200 400 600

Peers

Ke Cheng
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 660
  • Biomedical Engineering 387
  • Artificial Intelligence 351
  • Human-Computer Interaction 192
  • Economics and Econometrics 109
Replace Zhenyang Li with:
Zhenyang Li China
Md Abdullah Al Hafiz Khan United States
A F M Saifuddin Saif Bangladesh
Sreenivasan Ramasamy Ramamurthy United States
Amer Malki Saudi Arabia
Narendra Patel India
Nadir Farah Algeria
Achin Jain India
Aditya Kurniawan Indonesia
Qingfeng Tang China
Zhenyang Li China View profile →
Citations per field, relative to Ke Cheng
Ke Cheng · 1×
Citations per year, relative to Ke Cheng
Ke Cheng · 1×

Countries citing papers authored by Ke Cheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ke Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Cheng. A scholar is included among the top collaborators of Ke Cheng 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 Ke Cheng. Ke Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 49
2
Skeleton-Based Action Recognition With Shift Graph Convolutional Network breakdown →
610
3 36
4 19
5 9
6 84
7 5
8 10
9 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026