Hua Han
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- MengChu ZhouKuangrong HaoYongsheng DingYifan HuYujin ZhangAbdullah AbusorrahWei CaoXiao Liang
- Topics
- Video Surveillance and Tracking Methods (9 papers)Robotic Path Planning Algorithms (6 papers)Advanced Vision and Imaging (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsControl and Systems Engineering
- Journals
- IEEE AccessInformation SciencesInternational Journal of Environmental Research and Public Health
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Hua Han
37 papers receiving 424 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 195
- Computer Networks and Communications 105
- Artificial Intelligence 97
- Control and Systems Engineering 85
- Electrical and Electronic Engineering 64
Countries citing papers authored by Hua Han
This map shows the geographic impact of Hua Han'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 Hua Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Han more than expected).
Fields of papers citing papers by Hua Han
This network shows the impact of papers produced by Hua Han. 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 Hua Han. The network helps show where Hua Han may publish in the future.
Co-authorship network of co-authors of Hua Han
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Han. A scholar is included among the top collaborators of Hua Han 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 Hua Han. Hua Han 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 37 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 57 | |
| 20 | 49 |
About Hua Han
Hua Han is a scholar working on Computer Vision and Pattern Recognition, Structural Biology and Computer Science Applications, having authored 38 papers that have together received 440 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Computer Networks and Communications (105 citations) and Control and Systems Engineering (85 citations). Hua Han has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include MengChu Zhou, Kuangrong Hao, Yongsheng Ding, Yifan Hu, Yujin Zhang, Abdullah Abusorrah, Wei Cao, Xiao Liang, Jinliang Liu and Songlin Hu. Their work appears in journals such as IEEE Access, Information Sciences and International Journal of Environmental Research and Public Health.
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.