Jun Xing
Impact in
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
Papers in
- Spectroscopy 24
- Analytical Chemistry and Chromatography 17
- Mass Spectrometry Techniques and Applications 10
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- Analytical chemistry methods development 20
- Co-authors
- Caiying Wu (15 shared papers)Jianxin Yu (2 shared papers)Dong Li (3 shared papers)Lingshuang Cai (2 shared papers)Weiya Zhang (5 shared papers)Lin Wu (1 shared paper)Yin Sun (2 shared papers)Xiaojie Sun (7 shared papers)
- Journals
- Journal of Chromatography A (12 papers)Analytical and Bioanalytical Chemistry (3 papers)Environmental Science & Technology (2 papers)Journal of Separation Science (2 papers)Water Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Xing
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Analytical Chemistry 710
- Spectroscopy 518
- Electrochemistry 145
- Bioengineering 86
- Catalysis 77
Countries citing papers authored by Jun Xing
This map shows the geographic impact of Jun Xing'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 Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xing more than expected).
Fields of papers citing papers by Jun Xing
This network shows the impact of papers produced by Jun Xing. 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 Xing. The network helps show where Jun Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xing, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 145 | |
| 2 | 2009 | 92 | |
| 3 | 2004 | 90 | |
| 4 | 2003 | 85 | |
| 5 | 2003 | 77 | |
| 6 | 2009 | 69 | |
| 7 | 2006 | 57 | |
| 8 | 2001 | 48 | |
| 9 | 2005 | 39 | |
| 10 | 2010 | 38 | |
| 11 | 2011 | 36 | |
| 12 | 2009 | 35 | |
| 13 | 2021 | 30 | |
| 14 | 2003 | 28 | |
| 15 | 2009 | 28 | |
| 16 | 2005 | 27 | |
| 17 | 2010 | 24 | |
| 18 | 2013 | 22 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 19 |
About Jun Xing
Jun Xing is a scholar working on Spectroscopy, Analytical Chemistry, Biomedical Engineering, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Analytical chemistry methods development (20 papers), Analytical Chemistry and Chromatography (17 papers), Advanced Chemical Sensor Technologies (12 papers), Mass Spectrometry Techniques and Applications (10 papers), Ionic liquids properties and applications (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Membrane Separation Technologies (4 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Analytical Chemistry (710 citations), Spectroscopy (518 citations), Electrochemistry (145 citations), Bioengineering (86 citations) and Catalysis (77 citations). Jun Xing has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Caiying Wu, Jianxin Yu, Dong Li, Lingshuang Cai, Weiya Zhang, Lin Wu, Yin Sun, Xiaojie Sun, Shaowen Zhang and Danhua Wang. Their work appears in journals such as Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Environmental Science & Technology, Journal of Separation Science and Water Research.
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.