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
- Co-authors
- Luning Liu (5 shared papers)Yuqiang Feng (5 shared papers)Liguo Fei (4 shared papers)Yiming Bi (3 shared papers)Guangxin Zhang (1 shared paper)Guohai Chu (2 shared papers)Kailong Yuan (2 shared papers)Guojun Zhou (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)IEEE Access (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Poultry Science (1 paper)Dalton Transactions (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xia
21 papers receiving 510 citations
Peers
Comparison fields: 5 of 100
- Analytical Chemistry 183
- Biophysics 74
- Management Science and Operations Research 92
- Industrial and Manufacturing Engineering 47
- Renewable Energy, Sustainability and the Environment 46
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 194 | |
| 2 | 2019 | 77 | |
| 3 | 2022 | 46 | |
| 4 | 2022 | 45 | |
| 5 | 2018 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2025 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2017 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Jun Xia
Jun Xia is a scholar working on Molecular Biology, Management Science and Operations Research, Electrical and Electronic Engineering, Materials Chemistry and Immunology, having authored 23 papers that have together received 521 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), Breast Cancer Treatment Studies (2 papers), Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Analytical Chemistry (183 citations), Biophysics (74 citations), Management Science and Operations Research (92 citations), Industrial and Manufacturing Engineering (47 citations) and Renewable Energy, Sustainability and the Environment (46 citations). Jun Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Luning Liu, Yuqiang Feng, Liguo Fei, Yiming Bi, Guangxin Zhang, Guohai Chu, Kailong Yuan, Guojun Zhou, Weiqiang Xiao and Jizhong Wu. Their work appears in journals such as Journal of the American Chemical Society, IEEE Access, Analytical and Bioanalytical Chemistry, Poultry Science and Dalton Transactions.
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.