Dong Huang
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Media Technology top 0.5%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Chang‐Dong WangJianhuang LaiMan-Sheng ChenGuangyu ZhangLing HuangHaisong HuangQingsong FanLiguo Yao
- Topics
- Face and Expression Recognition (48 papers)Advanced Clustering Algorithms Research (30 papers)Video Surveillance and Tracking Methods (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dong Huang
159 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 2.2k
- Media Technology 445
- Statistical and Nonlinear Physics 328
- Electrical and Electronic Engineering 297
Countries citing papers authored by Dong Huang
This map shows the geographic impact of Dong 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 Dong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Huang more than expected).
Fields of papers citing papers by Dong Huang
This network shows the impact of papers produced by Dong 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 Dong Huang. The network helps show where Dong Huang may publish in the future.
Co-authorship network of co-authors of Dong Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Dong Huang. A scholar is included among the top collaborators of Dong Huang 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 Dong Huang. Dong Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 55 | |
| 14 | 3 | |
| 15 | 86 | |
| 16 | 87 | |
| 17 | 38 | |
| 18 | 41 | |
| 19 | 11 | |
| 20 | 259 |
About Dong Huang
Dong Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 175 papers that have together received 4.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (48 papers), Advanced Clustering Algorithms Research (30 papers) and Video Surveillance and Tracking Methods (15 papers). The work is most often cited by research in Computational Mathematics (111 citations), Computer Vision and Pattern Recognition (2.7k citations) and Artificial Intelligence (2.2k citations). Dong Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chang‐Dong Wang, Jianhuang Lai, Man-Sheng Chen, Guangyu Zhang, Ling Huang, Haisong Huang, Qingsong Fan, Liguo Yao, Jianan Wei and Cheng Xiang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.