Baochang Zhang
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Media Technology top 0.2%
- Signal Processing top 1%
- Aerospace Engineering top 2%
- Co-authors
- Jianzhuang LiuRongrong JiYongsheng GaoSanqiang ZhaoFeiyue HuangDavid DoermannJungong HanLing Shao
- Topics
- Video Surveillance and Tracking Methods (68 papers)Advanced Neural Network Applications (65 papers)Advanced Image and Video Retrieval Techniques (44 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baochang Zhang
216 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 5.5k
- Artificial Intelligence 2.4k
- Media Technology 908
- Signal Processing 632
- Aerospace Engineering 588
Countries citing papers authored by Baochang Zhang
This map shows the geographic impact of Baochang 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 Baochang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baochang Zhang more than expected).
Fields of papers citing papers by Baochang Zhang
This network shows the impact of papers produced by Baochang 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 Baochang Zhang. The network helps show where Baochang Zhang may publish in the future.
Co-authorship network of co-authors of Baochang Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Baochang Zhang. A scholar is included among the top collaborators of Baochang 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 Baochang Zhang. Baochang 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 | 8 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 110 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 115 | |
| 13 | 50 | |
| 14 | 16 | |
| 15 | 27 | |
| 16 | 5 | |
| 17 | 23 | |
| 18 | 70 | |
| 19 | Deep Collaborative Tracking Networks. | 4 |
| 20 | Attentional Alignment Networks. | 16 |
About Baochang Zhang
Baochang Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 228 papers that have together received 7.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (68 papers), Advanced Neural Network Applications (65 papers) and Advanced Image and Video Retrieval Techniques (44 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Media Technology (908 citations) and Artificial Intelligence (2.4k citations). Baochang Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianzhuang Liu, Rongrong Ji, Yongsheng Gao, Sanqiang Zhao, Feiyue Huang, David Doermann, Jungong Han, Ling Shao, Yongjian Wu and Mingbao Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
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.