Dan Shi
Impact in
- Analytical Chemistry top 5%
- Analytical chemistry methods development
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
Papers in
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- Face and Expression Recognition 7
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 4
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- Remote-Sensing Image Classification 4
- Co-authors
- Jingjing Li (6 shared papers)Lei Zhu (6 shared papers)Zhiyong Cheng (4 shared papers)Zheng Zhang (2 shared papers)Yun Shi (2 shared papers)Jianghua Zhang (2 shared papers)Kang Dai (2 shared papers)Bin Lü (2 shared papers)
In The Last Decade
Dan Shi
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 69
- Analytical Chemistry 102
- Computer Vision and Pattern Recognition 134
- Toxicology 15
- Urban Studies 24
- Spectroscopy 61
Countries citing papers authored by Dan Shi
This map shows the geographic impact of Dan Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shi more than expected).
Fields of papers citing papers by Dan Shi
This network shows the impact of papers produced by Dan Shi. 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 Shi. The network helps show where Dan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 62 | |
| 2 | 2019 | 53 | |
| 3 | 2006 | 49 | |
| 4 | 2023 | 47 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2019 | 2 | |
| 15 | Multi-sensor image fusion algorithm considering neighborhood consistency in the nonsubsampled contourlet transform domain | 2010 | 2 |
| 16 | 2011 | 1 | |
| 17 | 2018 | 0 |
About Dan Shi
Dan Shi is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Urban Studies, Artificial Intelligence and Aerospace Engineering, having authored 17 papers that have together received 329 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote-Sensing Image Classification (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Computing and Algorithms (3 papers), Infrared Target Detection Methodologies (2 papers), Analytical chemistry methods development (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Analytical Chemistry (102 citations), Computer Vision and Pattern Recognition (134 citations), Toxicology (15 citations), Urban Studies (24 citations) and Spectroscopy (61 citations). Dan Shi has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Jingjing Li, Lei Zhu, Zhiyong Cheng, Zheng Zhang, Yun Shi, Jianghua Zhang, Kang Dai, Bin Lü, Ming Jiang and Surong Mei. Their work appears in journals such as Biomedical Chromatography, Journal of Visual Communication and Image Representation, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Neural Networks and Learning Systems and Journal of Pharmaceutical and Biomedical Analysis.
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.