Haijun Zhang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Health top 1%
- Information Systems top 1%
- Infectious Diseases top 5%
- Co-authors
- Tommy W. S. ChowYuzhu JiQ. M. Jonathan WuZhao ZhangLinlin LiuJiahao WangXiaozhen LaiMaria Deloria Knoll
- Topics
- Generative Adversarial Networks and Image Synthesis (31 papers)Video Surveillance and Tracking Methods (24 papers)Image Retrieval and Classification Techniques (21 papers)
In The Last Decade
Haijun Zhang
219 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 1.3k
- Health 615
- Information Systems 521
- Infectious Diseases 493
Countries citing papers authored by Haijun Zhang
This map shows the geographic impact of Haijun Zhang'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 Haijun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Zhang more than expected).
Fields of papers citing papers by Haijun Zhang
This network shows the impact of papers produced by Haijun Zhang. 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 Haijun Zhang. The network helps show where Haijun Zhang may publish in the future.
Co-authorship network of co-authors of Haijun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Zhang. A scholar is included among the top collaborators of Haijun Zhang 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 Haijun Zhang. Haijun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 70 | |
| 14 | 34 | |
| 15 | 40 | |
| 16 | 12 | |
| 17 | Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in Chinabreakdown → | 686 |
| 18 | Comparisons of Curve Parameterization Methods in Airship Hull Design | 2 |
| 19 | 9 | |
| 20 | Dynamic service matchmaking in intelligent web | 1 |
About Haijun Zhang
Haijun Zhang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mathematics, having authored 236 papers that have together received 5.0k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (31 papers), Video Surveillance and Tracking Methods (24 papers) and Image Retrieval and Classification Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Modeling and Simulation (354 citations) and Health (615 citations). Haijun Zhang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Tommy W. S. Chow, Yuzhu Ji, Q. M. Jonathan Wu, Zhao Zhang, Linlin Liu, Jiahao Wang, Xiaozhen Lai, Maria Deloria Knoll, Yun Lyu and Yunming Ye. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Journal of Hazardous Materials.
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.