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 112
-
- Water Quality Monitoring and Analysis 36
- Co-authors
- Xiaohong Wu (61 shared papers)Xin Zhou (49 shared papers)Kunshan Yao (41 shared papers)Min Xu (21 shared papers)Chunxia Dai (26 shared papers)Yan Tian (14 shared papers)Bing Lu (17 shared papers)Jiehong Cheng (14 shared papers)
- Journals
- Journal of Food Process Engineering (36 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (7 papers)Journal of Food Composition and Analysis (7 papers)Foods (6 papers)Journal of Food Processing and Preservation (6 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Sun
158 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 136
- Analytical Chemistry 2.4k
- Biophysics 547
- Waste Management and Disposal 408
- Plant Science 1.1k
- Animal Science and Zoology 291
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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2019 | 121 | |
| 3 | 2022 | 95 | |
| 4 | 2022 | 85 | |
| 5 | 2017 | 82 | |
| 6 | 2020 | 79 | |
| 7 | 2020 | 78 | |
| 8 | 2020 | 64 | |
| 9 | 2015 | 61 | |
| 10 | 2023 | 61 | |
| 11 | 2016 | 59 | |
| 12 | 2015 | 59 | |
| 13 | 2023 | 59 | |
| 14 | 2017 | 58 | |
| 15 | 2021 | 58 | |
| 16 | 2022 | 56 | |
| 17 | 2023 | 56 | |
| 18 | 2017 | 55 | |
| 19 | 2024 | 55 | |
| 20 | 2021 | 55 |
About Jun Sun
Jun Sun is a scholar working on Analytical Chemistry, Waste Management and Disposal, Biophysics, Biomedical Engineering and Plant Science, having authored 174 papers that have together received 4.0k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (112 papers), Advanced Chemical Sensor Technologies (54 papers), Water Quality Monitoring and Analysis (36 papers), Smart Agriculture and AI (19 papers), Spectroscopy Techniques in Biomedical and Chemical Research (18 papers), Remote Sensing and Land Use (15 papers), Identification and Quantification in Food (12 papers) and Meat and Animal Product Quality (11 papers). The work is most often cited by research in Analytical Chemistry (2.4k citations), Biophysics (547 citations), Waste Management and Disposal (408 citations), Plant Science (1.1k citations) and Animal Science and Zoology (291 citations). Jun Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaohong Wu, Xin Zhou, Kunshan Yao, Min Xu, Chunxia Dai, Yan Tian, Bing Lu, Jiehong Cheng, Hanping Mao and Yan Cao. Their work appears in journals such as Journal of Food Process Engineering, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal of Food Composition and Analysis, Foods and Journal of Food Processing and Preservation.
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.