Chang Tang
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Media Technology top 0.2%
- Biomedical Engineering top 5%
- Molecular Biology
- Co-authors
- Xinwang LiuPichao WangEn ZhuLizhe WangWanqing LiWei ZhangMiaomiao LiXiao Zheng
- Topics
- Face and Expression Recognition (58 papers)Remote-Sensing Image Classification (31 papers)Advanced Image and Video Retrieval Techniques (23 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingOptics Letters
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chang Tang
145 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 2.3k
- Media Technology 1.3k
- Biomedical Engineering 502
- Molecular Biology 429
Countries citing papers authored by Chang Tang
This map shows the geographic impact of Chang Tang'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 Chang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Tang more than expected).
Fields of papers citing papers by Chang Tang
This network shows the impact of papers produced by Chang Tang. 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 Chang Tang. The network helps show where Chang Tang may publish in the future.
Co-authorship network of co-authors of Chang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Tang. A scholar is included among the top collaborators of Chang Tang 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 Chang Tang. Chang Tang 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 20 | |
| 15 | 33 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 54 | |
| 20 | 109 |
About Chang Tang
Chang Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Urban Studies, having authored 168 papers that have together received 5.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (58 papers), Remote-Sensing Image Classification (31 papers) and Advanced Image and Video Retrieval Techniques (23 papers). The work is most often cited by research in Computational Mathematics (148 citations), Computer Vision and Pattern Recognition (3.9k citations) and Media Technology (1.3k citations). Chang Tang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinwang Liu, Pichao Wang, En Zhu, Lizhe Wang, Wanqing Li, Wei Zhang, Miaomiao Li, Xiao Zheng, Xinzhong Zhu and Philip Ogunbona. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Optics Letters.
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.