Dan Li
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Data Mining Algorithms and Applications
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Topic Modeling
Papers in
-
- Face and Expression Recognition 15
- Video Surveillance and Tracking Methods 10
- Advanced Image and Video Retrieval Techniques 7
-
- Metaheuristic Optimization Algorithms Research 14
- Neural Networks and Applications 9
- Co-authors
- Jitender S. Deogun (7 shared papers)William D. Spaulding (1 shared paper)Liyong Zhang (2 shared papers)Hong Gu (2 shared papers)Sheng Wang (1 shared paper)Yangming Zhao (1 shared paper)Minlan Yu (1 shared paper)Yanhui Geng (1 shared paper)
- Journals
- IEEE Access (3 papers)Multimedia Tools and Applications (3 papers)Applied Sciences (2 papers)IEEE Transactions on Industrial Informatics (1 paper)Developmental Psychology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Li
102 papers receiving 914 citations
Peers
Comparison fields: 5 of 123
- Information Systems 254
- Artificial Intelligence 368
- Computer Vision and Pattern Recognition 209
- Signal Processing 85
- Computer Networks and Communications 176
Countries citing papers authored by Dan Li
This map shows the geographic impact of Dan 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 Dan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Li more than expected).
Fields of papers citing papers by Dan Li
This network shows the impact of papers produced by Dan 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 Dan Li. The network helps show where Dan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 175 | |
| 2 | 2015 | 148 | |
| 3 | 2010 | 70 | |
| 4 | 2019 | 44 | |
| 5 | 2017 | 44 | |
| 6 | 2013 | 37 | |
| 7 | 2017 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2021 | 24 | |
| 10 | 2023 | 19 | |
| 11 | 2019 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2012 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2012 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 8 |
About Dan Li
Dan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 114 papers that have together received 958 indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Metaheuristic Optimization Algorithms Research (14 papers), Data Management and Algorithms (10 papers), Video Surveillance and Tracking Methods (10 papers), Neural Networks and Applications (9 papers), Rough Sets and Fuzzy Logic (8 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Information Systems (254 citations), Artificial Intelligence (368 citations), Computer Vision and Pattern Recognition (209 citations), Signal Processing (85 citations) and Computer Networks and Communications (176 citations). Dan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jitender S. Deogun, William D. Spaulding, Liyong Zhang, Hong Gu, Sheng Wang, Yangming Zhao, Minlan Yu, Yanhui Geng, Yiming Zhang and Kai Chen. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Applied Sciences, IEEE Transactions on Industrial Informatics and Developmental Psychology.
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.