Kun Jiang
Impact in
- Analytical Chemistry top 5%
- Analytical Methods in Pharmaceuticals
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- Traditional Chinese Medicine Analysis
Papers in
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- Face and Expression Recognition 9
- Advanced Data Compression Techniques 3
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- Algorithms and Data Compression 4
- Co-authors
- Famei Li (7 shared papers)Xiumei Lu (6 shared papers)Tiejie Wang (9 shared papers)Feng Qin (4 shared papers)Guo Yin (8 shared papers)Yulan Li (1 shared paper)Jiasheng Tu (3 shared papers)Yang Song (1 shared paper)
In The Last Decade
Kun Jiang
43 papers receiving 323 citations
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 95
- Complementary and alternative medicine 50
- Pharmacology 43
- Spectroscopy 63
- Pharmacology 54
Countries citing papers authored by Kun Jiang
This map shows the geographic impact of Kun Jiang'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 Kun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jiang more than expected).
Fields of papers citing papers by Kun Jiang
This network shows the impact of papers produced by Kun Jiang. 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 Kun Jiang. The network helps show where Kun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Jiang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2008 | 33 | |
| 3 | 2010 | 29 | |
| 4 | 2018 | 26 | |
| 5 | 2011 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2008 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2011 | 9 | |
| 13 | 2008 | 8 | |
| 14 | 2009 | 8 | |
| 15 | Pivot/Remote: a distributed database for remote data entry in multi-center clinical trials. | 1995 | 7 |
| 16 | 2020 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Kun Jiang
Kun Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Analytical Chemistry, Molecular Biology and Computer Networks and Communications, having authored 49 papers that have together received 335 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Analytical Chemistry and Chromatography (4 papers), Chromatography in Natural Products (4 papers), Algorithms and Data Compression (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Natural product bioactivities and synthesis (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Analytical Chemistry (95 citations), Complementary and alternative medicine (50 citations), Pharmacology (43 citations), Spectroscopy (63 citations) and Pharmacology (54 citations). Kun Jiang has collaborated with scholars based in China, Belgium and Macao. Frequent co-authors include Famei Li, Xiumei Lu, Tiejie Wang, Feng Qin, Guo Yin, Yulan Li, Jiasheng Tu, Yang Song, Xiaoyi Wei and Yang Huang. Their work appears in journals such as Journal of Separation Science, Journal of Pharmaceutical and Biomedical Analysis, Biomedical Chromatography, Pattern Analysis and Applications and Applied Intelligence.
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.