Gang Hu
- Software top 2%
- Software Testing and Debugging Techniques 7
- Signal Processing top 5%
- Data Management and Algorithms 6
- Media Technology top 2%
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- Advanced Image and Video Retrieval Techniques 13
- Video Surveillance and Tracking Methods 9
- Image Retrieval and Classification Techniques 6
- Human Pose and Action Recognition 6
- Information Systems top 5%
- Software Engineering Research 5
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- Electrical and Bioimpedance Tomography 6
- Journals
- Applied Physics Letters (3 papers)Journal of Thrombosis and Haemostasis (2 papers)ACM SIGPLAN Notices (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Gang Hu
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Software 193
- Signal Processing 200
- Media Technology 146
- Computer Vision and Pattern Recognition 316
- Information Systems 202
Countries citing papers authored by Gang Hu
This map shows the geographic impact of Gang Hu'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 Gang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Hu more than expected).
Fields of papers citing papers by Gang Hu
This network shows the impact of papers produced by Gang Hu. 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 Gang Hu. The network helps show where Gang Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Hu, 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 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 39 | |
| 5 | 2024 | 0 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 48 | |
| 8 | 2020 | 188 | |
| 9 | 2018 | 1 | |
| 10 | 2016 | 3 | |
| 11 | 2014 | 33 | |
| 12 | 2012 | 3 | |
| 13 | 2012 | 1 | |
| 14 | 2011 | 3 | |
| 15 | 2011 | 51 | |
| 16 | 2011 | 30 | |
| 17 | 2010 | 36 | |
| 18 | 2007 | 6 | |
| 19 | 2004 | 36 | |
| 20 | 2002 | 3 |
About Gang Hu
Gang Hu is a scholar working on Software, Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing and Biophysics, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Video Surveillance and Tracking Methods (9 papers), Software Testing and Debugging Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Human Pose and Action Recognition (6 papers), Electrical and Bioimpedance Tomography (6 papers), Data Management and Algorithms (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Software (193 citations), Signal Processing (200 citations), Media Technology (146 citations), Computer Vision and Pattern Recognition (316 citations) and Information Systems (202 citations). Gang Hu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Junfeng Yang, Bin He, Guanqiu Qi, Neal Mazur, Zhiqin Zhu, Yuanyuan Li, Yang Tang, Hongyan Wei, Jie Shao and Jingyue Wu. Their work appears in journals such as Applied Physics Letters, Journal of Thrombosis and Haemostasis, ACM SIGPLAN Notices, World Wide Web and Medical Physics.
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.