Haipeng Chen
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- Digital Media Forensic Detection 19
- Human Pose and Action Recognition 13
- Video Surveillance and Tracking Methods 11
- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 9
- Medical Image Segmentation Techniques 8
- Media Technology top 1%
- Image Processing Techniques and Applications 17
- Biophysics top 5%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 9
- Journals
- Multimedia Systems (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (5 papers)Multimedia Tools and Applications (4 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Haipeng Chen
93 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 718
- Media Technology 281
- Biophysics 98
- Neurology 47
- Artificial Intelligence 179
Countries citing papers authored by Haipeng Chen
This map shows the geographic impact of Haipeng Chen'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 Haipeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Chen more than expected).
Fields of papers citing papers by Haipeng Chen
This network shows the impact of papers produced by Haipeng Chen. 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 Haipeng Chen. The network helps show where Haipeng Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haipeng Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 40 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | SUPERPIXEL SEGMENTATION ALGORITHM OF MRI IMAGES BASED ON STD_SLIC | 2018 | 1 |
| 18 | 2012 | 1 | |
| 19 | 2011 | 15 | |
| 20 | 2009 | 3 |
About Haipeng Chen
Haipeng Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (19 papers), Image Processing Techniques and Applications (17 papers), Human Pose and Action Recognition (13 papers), Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (718 citations), Media Technology (281 citations), Biophysics (98 citations), Neurology (47 citations) and Artificial Intelligence (179 citations). Haipeng Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xuanjing Shen, Zenan Shi, Jianwu Long, Ye Zhu, Wenting Han, Zhenguang Liu, Huihui Zhang, Yaxiao Niu, Liyuan Zhang and Dong Zhang. Their work appears in journals such as Multimedia Systems, IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Tools and Applications, IEEE Access and ACM Transactions on Multimedia Computing Communications and Applications.
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.