Li Zhang
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Molecular Biology top 10%
- Co-authors
- Fanzhang LiZhong SuJie TangJing ZhangLimin YaoJuanzi LiZhao ZhangYifei Yuan
- Topics
- Face and Expression Recognition (91 papers)Advanced Image and Video Retrieval Techniques (50 papers)Image Retrieval and Classification Techniques (33 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Angewandte Chemie International EditionNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Zhang
440 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Artificial Intelligence 3.3k
- Computer Vision and Pattern Recognition 3.3k
- Information Systems 1.4k
- Statistical and Nonlinear Physics 1.3k
- Molecular Biology 939
Countries citing papers authored by Li Zhang
This map shows the geographic impact of Li 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 Li Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Zhang more than expected).
Fields of papers citing papers by Li Zhang
This network shows the impact of papers produced by Li 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 Li Zhang. The network helps show where Li Zhang may publish in the future.
Co-authorship network of co-authors of Li Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhang. A scholar is included among the top collaborators of Li 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 Li Zhang. Li 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 2 | |
| 16 | Fuzzy Clustering Algorithm for Interval Data Based on Feedback RBF Neural Network | 1 |
| 17 | Extracting Visual Words from Images for Effective Medical Image Analysis | 2 |
| 18 | 1 | |
| 19 | BUAA-iCC at ImageCLEF 2015 Scalable Concept Image Annotation Challenge | 1 |
| 20 | A Classification Algorithm in Li-K Nearest Neighbor | 1 |
About Li Zhang
Li Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 485 papers that have together received 9.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (91 papers), Advanced Image and Video Retrieval Techniques (50 papers) and Image Retrieval and Classification Techniques (33 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Artificial Intelligence (3.3k citations) and Statistical and Nonlinear Physics (1.3k citations). Li Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fanzhang Li, Zhong Su, Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Zhao Zhang, Yifei Yuan, Wei Chen and Jianming Zhan. Their work appears in journals such as Angewandte Chemie International Edition, Nature Genetics and SHILAP Revista de lepidopterología.
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.