Honghu Pan
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Video Surveillance and Tracking Methods 9
- Human Pose and Action Recognition 7
- Augmented Reality Applications 4
- Face recognition and analysis 3
- Generative Adversarial Networks and Image Synthesis 2
- Multimodal Machine Learning Applications 1
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- Gait Recognition and Analysis 3
- Co-authors
- Zhenyu He (6 shared papers)Yongyong Chen (4 shared papers)Hong Zeng (3 shared papers)Yunqi He (3 shared papers)Yang Bai (1 shared paper)Qiao Liu (2 shared papers)Chunkai Zhang (1 shared paper)Xin Li (1 shared paper)
In The Last Decade
Honghu Pan
15 papers receiving 395 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 212
- Control and Systems Engineering 157
- Human-Computer Interaction 27
- Mechanical Engineering 99
- Mechanics of Materials 45
Countries citing papers authored by Honghu Pan
This map shows the geographic impact of Honghu Pan'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 Honghu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghu Pan more than expected).
Fields of papers citing papers by Honghu Pan
This network shows the impact of papers produced by Honghu Pan. 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 Honghu Pan. The network helps show where Honghu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Honghu Pan, 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 | 2018 | 166 | |
| 2 | 2022 | 33 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2024 | 20 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 7 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Honghu Pan
Honghu Pan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering, Human-Computer Interaction and Aerospace Engineering, having authored 17 papers that have together received 403 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (7 papers), Augmented Reality Applications (4 papers), Interactive and Immersive Displays (3 papers), Face recognition and analysis (3 papers), Gait Recognition and Analysis (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Control and Systems Engineering (157 citations), Human-Computer Interaction (27 citations), Mechanical Engineering (99 citations) and Mechanics of Materials (45 citations). Honghu Pan has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zhenyu He, Yongyong Chen, Hong Zeng, Yunqi He, Yang Bai, Qiao Liu, Chunkai Zhang, Xin Li, Wenjie Pei and Tingyang Xu. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, Neural Computing and Applications and Expert Systems with 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.