Jun Xing

1.4k citations
50 papers · 1.2k · h-index 19

Impact in

    • Analytical chemistry methods development
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

    • Analytical Chemistry and Chromatography 17
    • Mass Spectrometry Techniques and Applications 10
    • Analytical chemistry methods development 20

Jun Xing

50 papers receiving 1.1k citations

Peers

Jun Xing
Comparison fields: 5 of 83
  • Analytical Chemistry 708
  • Spectroscopy 523
  • Electrochemistry 145
  • Bioengineering 84
  • Catalysis 77
Replace Agata Spietelun with:
Agata Spietelun Poland
Nina Nouri Iran
Christina Vakh Russia
Yehong Han China
Guillermo Lasarte‐Aragonés United States
Edvaldo Vasconcelos Soares Maciel Brazil
Edmar Martendal Brazil
Qiong‐Wei Yu China
Mercedes Villar-Navarro Spain
Fahimeh Kamarei Iran
Jun Xing relative to Agata Spietelun Poland Agata Spietelun's profile →
Citations per field
00.5×1.7×
Agata Spietelun · 1×
Citations per year

Countries citing papers authored by Jun Xing

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Xing Line = papers co-authored together Jun Xing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002145
2 200991
3 200490
4 200385
5 200377
6 200969
7 200657
8 200148
9 200539
10 201038
11 201136
12 200935
13 200928
14 202128
15 200327
16 200527
17 201024
18 201322
19 201819
20 201418

About Jun Xing

Jun Xing is a scholar working on Spectroscopy, Analytical Chemistry, Biomedical Engineering, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 50 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), Membrane Separation Technologies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Analytical Chemistry (708 citations), Spectroscopy (523 citations), Electrochemistry (145 citations), Bioengineering (84 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, Lin Wu, Weiya Zhang, Yin Sun, Xiaojie Sun, Shaowen Zhang and Danhua Wang. Their work appears in journals such as Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Chinese Journal of Chemistry, Environmental Science & Technology and Journal of Separation Science.

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.

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