Peng Chu
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 2%
- Safety, Risk, Reliability and Quality top 1%
- Artificial Intelligence top 5%
- Global and Planetary Change top 10%
- Co-authors
- Haibin LingHeng FanHexin BaiFan YangLiting LinYong XuGe DengChunyuan Liao
- Topics
- Video Surveillance and Tracking Methods (12 papers)Human Pose and Action Recognition (6 papers)Fire Detection and Safety Systems (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityAerospace Engineering
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peng Chu
31 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 1.6k
- Aerospace Engineering 478
- Safety, Risk, Reliability and Quality 305
- Artificial Intelligence 263
- Global and Planetary Change 146
Countries citing papers authored by Peng Chu
This map shows the geographic impact of Peng Chu'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 Peng Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Chu more than expected).
Fields of papers citing papers by Peng Chu
This network shows the impact of papers produced by Peng Chu. 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 Peng Chu. The network helps show where Peng Chu may publish in the future.
Co-authorship network of co-authors of Peng Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Chu. A scholar is included among the top collaborators of Peng Chu 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 Peng Chu. Peng Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 41 | |
| 7 | 9 | |
| 8 | Spatial-Temporal Graph Transformer for Multiple Object Tracking | 1 |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 253 | |
| 15 | 2 | |
| 16 | 149 | |
| 17 | 16 | |
| 18 | 34 | |
| 19 | 1 | |
| 20 | 5 |
About Peng Chu
Peng Chu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Business and International Management, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (6 papers) and Fire Detection and Safety Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Safety, Risk, Reliability and Quality (305 citations) and Aerospace Engineering (478 citations). Peng Chu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haibin Ling, Heng Fan, Hexin Bai, Fan Yang, Liting Lin, Yong Xu, Ge Deng, Chunyuan Liao, Sijia Yu and Fan Yang. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Medical Imaging.
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.