Zhigang Luo
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology top 10%
- Spectroscopy top 1%
- Artificial Intelligence top 2%
- Computational Mechanics top 5%
- Topics
- Face and Expression Recognition (29 papers)Video Surveillance and Tracking Methods (24 papers)Domain Adaptation and Few-Shot Learning (22 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zhigang Luo
174 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 966
- Molecular Biology 953
- Spectroscopy 650
- Artificial Intelligence 607
- Computational Mechanics 250
Countries citing papers authored by Zhigang Luo
This map shows the geographic impact of Zhigang Luo'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 Zhigang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhigang Luo more than expected).
Fields of papers citing papers by Zhigang Luo
This network shows the impact of papers produced by Zhigang Luo. 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 Zhigang Luo. The network helps show where Zhigang Luo may publish in the future.
Co-authorship network of co-authors of Zhigang Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang Luo. A scholar is included among the top collaborators of Zhigang Luo 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 Zhigang Luo. Zhigang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 29 | |
| 12 | 26 | |
| 13 | 25 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 27 | |
| 18 | 43 | |
| 19 | Research on the Advances of Nonnegative Matrix Factorization and Its Application in Bioinformatics | 2 |
| 20 | Study on Consumer Cognition and Acceptance of Genetically Modified Products——A Case Study of General Public and University Students in Nanjing | 1 |
About Zhigang Luo
Zhigang Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Spectroscopy, having authored 180 papers that have together received 3.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (29 papers), Video Surveillance and Tracking Methods (24 papers) and Domain Adaptation and Few-Shot Learning (22 papers). The work is most often cited by research in Computational Mathematics (41 citations), Computer Vision and Pattern Recognition (966 citations) and Spectroscopy (650 citations). Zhigang Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Naiyang Guan, Dacheng Tao, Xiang Zhang, Zeper Abliz, Long Lan, Jiuming He, Bo Yuan, Ruiping Zhang, Xiaowei Song and Tiegang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.