Jun Xia
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Multi-Criteria Decision Making 4
-
- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Luning Liu (5 shared papers)Yuqiang Feng (5 shared papers)Liguo Fei (4 shared papers)Yiming Bi (3 shared papers)Jizhong Wu (2 shared papers)Kailong Yuan (2 shared papers)Guojun Zhou (2 shared papers)Guohai Chu (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)IEEE Access (2 papers)Tsinghua Science & Technology (1 paper)Microbes and Infection (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Xia
22 papers receiving 612 citations
Peers
Comparison fields: 5 of 101
- Analytical Chemistry 196
- Biophysics 78
- Management Science and Operations Research 96
- Waste Management and Disposal 53
- Renewable Energy, Sustainability and the Environment 51
Countries citing papers authored by Jun Xia
This map shows the geographic impact of Jun Xia'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 Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xia more than expected).
Fields of papers citing papers by Jun Xia
This network shows the impact of papers produced by Jun Xia. 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 Xia. The network helps show where Jun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xia, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 215 | |
| 2 | 2019 | 82 | |
| 3 | 2022 | 57 | |
| 4 | 2022 | 53 | |
| 5 | 2018 | 30 | |
| 6 | 2025 | 30 | |
| 7 | 2019 | 25 | |
| 8 | 2023 | 22 | |
| 9 | 2024 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 12 | |
| 13 | 2015 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 1 |
About Jun Xia
Jun Xia is a scholar working on Management Science and Operations Research, Analytical Chemistry, Biophysics, Molecular Biology and Computational Theory and Mathematics, having authored 24 papers that have together received 621 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (4 papers), Advanced Chemical Sensor Technologies (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Influenza Virus Research Studies (2 papers), Perovskite Materials and Applications (2 papers), interferon and immune responses (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Analytical Chemistry (196 citations), Biophysics (78 citations), Management Science and Operations Research (96 citations), Waste Management and Disposal (53 citations) and Renewable Energy, Sustainability and the Environment (51 citations). Jun Xia has collaborated with scholars based in China and United States. Frequent co-authors include Luning Liu, Yuqiang Feng, Liguo Fei, Yiming Bi, Jizhong Wu, Kailong Yuan, Guojun Zhou, Guohai Chu, Guangxin Zhang and Weiqiang Xiao. Their work appears in journals such as Journal of the American Chemical Society, IEEE Access, Tsinghua Science & Technology, Microbes and Infection and Free Radical Biology and Medicine.
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.