Shudong Huang
- Computational Mathematics top 5%
-
- Face and Expression Recognition 17
- Video Surveillance and Tracking Methods 9
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research 10
- Urban Studies top 5%
- Advanced Computing and Algorithms 5
- Media Technology top 5%
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- Integrated Circuits and Semiconductor Failure Analysis 7
- Electrostatic Discharge in Electronics 7
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- Additive Manufacturing Materials and Processes 5
- Advanced materials and composites 3
- Journals
- Nature Communications (1 paper)Applied Physics Letters (1 paper)Journal of Controlled Release (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shudong Huang
47 papers receiving 881 citations
Peers
Comparison fields: 5 of 110
- Computational Mathematics 33
- Computer Vision and Pattern Recognition 445
- Artificial Intelligence 411
- Urban Studies 72
- Media Technology 64
Countries citing papers authored by Shudong Huang
This map shows the geographic impact of Shudong Huang'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 Shudong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shudong Huang more than expected).
Fields of papers citing papers by Shudong Huang
This network shows the impact of papers produced by Shudong Huang. 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 Shudong Huang. The network helps show where Shudong Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shudong Huang, 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 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 29 | |
| 17 | 2022 | 13 | |
| 18 | 2015 | 7 | |
| 19 | 2014 | 61 | |
| 20 | 2006 | 11 |
About Shudong Huang
Shudong Huang is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Artificial Intelligence, having authored 53 papers that have together received 899 indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Advanced Clustering Algorithms Research (10 papers), Video Surveillance and Tracking Methods (9 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers), Electrostatic Discharge in Electronics (7 papers), Additive Manufacturing Materials and Processes (5 papers), Advanced Computing and Algorithms (5 papers) and Advanced materials and composites (3 papers). The work is most often cited by research in Computational Mathematics (33 citations), Computer Vision and Pattern Recognition (445 citations) and Artificial Intelligence (411 citations). Shudong Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zenglin Xu, Jiancheng Lv, Ivor W. Tsang, Quan-Hui Liu, Zhao Kang, Yazhou Ren, Yixi Liu, Xiaorong Pu, Peng Zhao and Hongjie Wu. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Controlled Release.
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.