Jun Sun
Impact in
- Analytical Chemistry top 0.05%
- Spectroscopy and Chemometric Analyses
- Biophysics top 0.5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in ⓘ
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- Spectroscopy and Chemometric Analyses 109
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- Water Quality Monitoring and Analysis 36
- Co-authors
- Xiaohong Wu (60 shared papers)Xin Zhou (48 shared papers)Kunshan Yao (39 shared papers)Min Xu (21 shared papers)Chunxia Dai (26 shared papers)Bing Lu (18 shared papers)Yan Tian (13 shared papers)Hanping Mao (11 shared papers)
- Journals
- Journal of Food Process Engineering (35 papers)Journal of Food Composition and Analysis (6 papers)Journal of Food Processing and Preservation (6 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (6 papers)Foods (5 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Jun Sun
148 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 136
- Analytical Chemistry 2.1k
- Biophysics 533
- Industrial and Manufacturing Engineering 403
- Animal Science and Zoology 275
- Plant Science 991
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun 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 Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun 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 Jun Sun. The network helps show where Jun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2019 | 111 | |
| 3 | 2022 | 79 | |
| 4 | 2017 | 77 | |
| 5 | 2020 | 76 | |
| 6 | 2022 | 70 | |
| 7 | 2020 | 70 | |
| 8 | 2016 | 55 | |
| 9 | 2015 | 55 | |
| 10 | 2015 | 53 | |
| 11 | 2017 | 52 | |
| 12 | 2017 | 52 | |
| 13 | 2021 | 51 | |
| 14 | 2020 | 51 | |
| 15 | 2018 | 50 | |
| 16 | 2023 | 50 | |
| 17 | 2023 | 49 | |
| 18 | 2016 | 49 | |
| 19 | 2022 | 48 | |
| 20 | 2019 | 47 |
About Jun Sun
Jun Sun is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering, Biophysics, Biomedical Engineering and Media Technology, having authored 158 papers that have together received 3.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (109 papers), Advanced Chemical Sensor Technologies (55 papers), Water Quality Monitoring and Analysis (36 papers), Smart Agriculture and AI (20 papers), Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Remote Sensing and Land Use (15 papers), Remote Sensing in Agriculture (12 papers) and Identification and Quantification in Food (12 papers). The work is most often cited by research in Analytical Chemistry (2.1k citations), Biophysics (533 citations), Industrial and Manufacturing Engineering (403 citations), Animal Science and Zoology (275 citations) and Plant Science (991 citations). Jun Sun has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiaohong Wu, Xin Zhou, Kunshan Yao, Min Xu, Chunxia Dai, Bing Lu, Yan Tian, Hanping Mao, Jiehong Cheng and Ning Yang. Their work appears in journals such as Journal of Food Process Engineering, Journal of Food Composition and Analysis, Journal of Food Processing and Preservation, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Foods.
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.