Tan Sun
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
Papers in
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- Smart Agriculture and AI 16
- Leaf Properties and Growth Measurement 2
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- Semantic Web and Ontologies 4
- Co-authors
- Xiujuan Chai (22 shared papers)Jianping Zhou (2 shared papers)Qixin Sun (8 shared papers)Guomin Zhou (3 shared papers)Chenxue Yang (2 shared papers)Guomin Zhou (1 shared paper)Hongwu Wang (1 shared paper)Ming Zhong (2 shared papers)
In The Last Decade
Tan Sun
30 papers receiving 413 citations
Peers
Comparison fields: 5 of 82
- Analytical Chemistry 83
- Plant Science 302
- Industrial and Manufacturing Engineering 33
- Ecology 67
- Environmental Engineering 34
Countries citing papers authored by Tan Sun
This map shows the geographic impact of Tan Sun'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 Tan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Sun more than expected).
Fields of papers citing papers by Tan Sun
This network shows the impact of papers produced by Tan Sun. 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 Tan Sun. The network helps show where Tan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Tan Sun, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 71 | |
| 2 | 2024 | 56 | |
| 3 | 2021 | 32 | |
| 4 | 2022 | 31 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2025 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2017 | 5 |
About Tan Sun
Tan Sun is a scholar working on Plant Science, Artificial Intelligence, Management Science and Operations Research, Analytical Chemistry and Molecular Biology, having authored 33 papers that have together received 420 indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (5 papers), Remote Sensing in Agriculture (4 papers), Semantic Web and Ontologies (4 papers), Advanced Chemical Sensor Technologies (4 papers), Data Quality and Management (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Leaf Properties and Growth Measurement (2 papers). The work is most often cited by research in Analytical Chemistry (83 citations), Plant Science (302 citations), Industrial and Manufacturing Engineering (33 citations), Ecology (67 citations) and Environmental Engineering (34 citations). Tan Sun has collaborated with scholars based in China, Sweden and Fiji. Frequent co-authors include Xiujuan Chai, Jianping Zhou, Qixin Sun, Guomin Zhou, Chenxue Yang, Guomin Zhou, Hongwu Wang, Ming Zhong, Zhuang Li and Zixuan Yang. Their work appears in journals such as Computers and Electronics in Agriculture, Animals, IEEE Transactions on Image Processing, Agronomy and International Journal of Molecular Sciences.
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.