Jun Xing

1.5k citations
48 papers · 1.3k · h-index 19

Impact in

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

Papers in

    • Analytical chemistry methods development 20
    • Analytical Chemistry and Chromatography 16
    • Mass Spectrometry Techniques and Applications 10

Jun Xing

48 papers receiving 1.3k citations

Peers

Jun Xing
Comparison fields: 5 of 86
  • Analytical Chemistry 761
  • Spectroscopy 557
  • Electrochemistry 160
  • Bioengineering 88
  • Catalysis 82
Replace Agata Spietelun with:
Agata Spietelun Poland
Nina Nouri Iran
Christina S. Vakh Russia
Yehong Han China
Myriam Díaz‐Álvarez Spain
Edvaldo Vasconcelos Soares Maciel Brazil
Hanghui Liu United States
Edmar Martendal Brazil
John M. Kokosa United States
Qiong-Wei Yu China
Jun Xing relative to Agata Spietelun Poland Agata Spietelun's profile →
Citations per field
00.5×2×3.2×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002153
2 2009104
3 2004102
4 200391
5 200379
6 200971
7 200664
8 200153
9 200543
10 201041
11 201140
12 200937
13 202134
14 200931
15 200330
16 200529
17 201325
18 201025
19 201821
20 201819

About Jun Xing

Jun Xing is a scholar working on Analytical Chemistry, Spectroscopy, Catalysis, Biomedical Engineering and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical chemistry methods development (20 papers), Analytical Chemistry and Chromatography (16 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 (761 citations), Spectroscopy (557 citations), Electrochemistry (160 citations), Bioengineering (88 citations) and Catalysis (82 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, Yin Sun, Lin Wu, Xiaojie Sun, Shaowen Zhang and Jianying Li. Their work appears in journals such as Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Journal of Separation Science, Water Research and Environmental Science & Technology.

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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