Zechao Li
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Media Technology top 0.2%
- Signal Processing top 1%
- Information Systems top 2%
- Co-authors
- Jinhui TangHanqing LuXiangbo ShuGuo-Jun QiHao TangTao MeiJinshan PanLu Jin
- Topics
- Advanced Image and Video Retrieval Techniques (75 papers)Image Retrieval and Classification Techniques (49 papers)Multimodal Machine Learning Applications (31 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Science of The Total EnvironmentACS Applied Materials & Interfaces
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zechao Li
160 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 5.0k
- Artificial Intelligence 2.4k
- Media Technology 888
- Signal Processing 470
- Information Systems 325
Countries citing papers authored by Zechao Li
This map shows the geographic impact of Zechao Li'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 Zechao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zechao Li more than expected).
Fields of papers citing papers by Zechao Li
This network shows the impact of papers produced by Zechao Li. 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 Zechao Li. The network helps show where Zechao Li may publish in the future.
Co-authorship network of co-authors of Zechao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zechao Li. A scholar is included among the top collaborators of Zechao Li 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 Zechao Li. Zechao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 90 | |
| 11 | 22 | |
| 12 | 27 | |
| 13 | 39 | |
| 14 | 72 | |
| 15 | 65 | |
| 16 | 56 | |
| 17 | 93 | |
| 18 | 81 | |
| 19 | 95 | |
| 20 | 67 |
About Zechao Li
Zechao Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Media Technology, having authored 167 papers that have together received 6.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (75 papers), Image Retrieval and Classification Techniques (49 papers) and Multimodal Machine Learning Applications (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Computational Mathematics (72 citations) and Media Technology (888 citations). Zechao Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinhui Tang, Hanqing Lu, Xiangbo Shu, Guo-Jun Qi, Hao Tang, Tao Mei, Jinshan Pan, Lu Jin, Runde Li and Jing Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and ACS Applied Materials & Interfaces.
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.