Runyang Feng

537 total citations
12 papers, 262 citations indexed

About

Runyang Feng is a scholar working on Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology. According to data from OpenAlex, Runyang Feng has authored 12 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Geriatrics and Gerontology. Recurrent topics in Runyang Feng's work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Runyang Feng is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Runyang Feng collaborates with scholars based in China, Singapore and United Kingdom. Runyang Feng's co-authors include Haoming Chen, Zhenguang Liu, Shuang Wu, Xun Wang, Shouling Ji, Xiang Wang, Yunjun Gao, Hyung Jin Chang, Yixing Gao and Weidong Min and has published in prestigious journals such as Neurocomputing, Journal of Molecular and Cellular Cardiology and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Runyang Feng

12 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Runyang Feng China 8 215 76 57 45 14 12 262
Chien-Yi Chang United States 4 212 1.0× 159 2.1× 58 1.0× 12 0.3× 7 0.5× 6 266
Saeid Motiian United States 7 147 0.7× 99 1.3× 21 0.4× 9 0.2× 5 0.4× 10 207
Veenu Rani India 5 55 0.3× 65 0.9× 49 0.9× 9 0.2× 7 0.5× 8 191
Dan Oneaţă Romania 8 318 1.5× 202 2.7× 70 1.2× 52 1.2× 15 1.1× 24 390
Davide Moltisanti Italy 4 265 1.2× 137 1.8× 20 0.4× 25 0.6× 23 1.6× 8 322
Miguel Reyes Spain 8 211 1.0× 31 0.4× 55 1.0× 107 2.4× 25 1.8× 9 257
Will Price United Kingdom 3 255 1.2× 131 1.7× 20 0.4× 23 0.5× 23 1.6× 3 298
Jonathan Munro United Kingdom 3 257 1.2× 129 1.7× 19 0.3× 23 0.5× 23 1.6× 3 302
Nilamani Bhoi India 12 197 0.9× 40 0.5× 26 0.5× 13 0.3× 2 0.1× 28 332
Zilong Huang China 6 128 0.6× 37 0.5× 22 0.4× 14 0.3× 80 5.7× 14 229

Countries citing papers authored by Runyang Feng

Since Specialization
Citations

This map shows the geographic impact of Runyang Feng'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 Runyang Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyang Feng more than expected).

Fields of papers citing papers by Runyang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runyang Feng. 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 Runyang Feng. The network helps show where Runyang Feng may publish in the future.

Co-authorship network of co-authors of Runyang Feng

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

All Works

12 of 12 papers shown
1.
Feng, Runyang & Haoming Chen. (2025). Learning semantical dynamics and spatiotemporal collaboration for human pose estimation in video. Neurocomputing. 626. 129581–129581. 1 indexed citations
2.
Feng, Runyang, Shuangshuang Chen, Na Wu, et al.. (2025). SIRT6 promotes angiogenesis by enhancing VEGFA secretion via demyristoylation in endothelial cell. Journal of Molecular and Cellular Cardiology. 199. 104–117. 4 indexed citations
3.
Chen, Haipeng, et al.. (2024). Joint-Motion Mutual Learning for Pose Estimation in Video. 8962–8971. 2 indexed citations
4.
Yu, Xueting, Shuang Zhao, Xin Zhong, et al.. (2023). SIRT6 deficiency in endothelial cells exacerbates oxidative stress by enhancing HIF1α accumulation and H3K9 acetylation at the Ero1α promoter. Clinical and Translational Medicine. 13(8). e1377–e1377. 12 indexed citations
5.
Feng, Runyang, et al.. (2023). Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video. University of Birmingham Research Portal (University of Birmingham). 17131–17141. 17 indexed citations
6.
Feng, Runyang, et al.. (2023). Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4564–4576. 14 indexed citations
7.
Feng, Runyang, et al.. (2023). DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation. 14815–14826. 20 indexed citations
8.
Liu, Zhenguang, Runyang Feng, Haoming Chen, et al.. (2022). Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10996–11006. 47 indexed citations
9.
Chen, Haipeng, et al.. (2022). GLPose: Global-Local Representation Learning for Human Pose Estimation. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–16. 7 indexed citations
10.
Chen, Haoming, et al.. (2022). 2D Human pose estimation: a survey. Multimedia Systems. 29(5). 3115–3138. 38 indexed citations
11.
Wang, Xue, Runyang Feng, Haoming Chen, et al.. (2022). Personalized motion kernel learning for human pose estimation. International Journal of Intelligent Systems. 37(9). 5859–5879. 7 indexed citations
12.
Liu, Zhenguang, Haoming Chen, Runyang Feng, et al.. (2021). Deep Dual Consecutive Network for Human Pose Estimation. 525–534. 93 indexed citations

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.

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