Jun Sun

4.7k citations
167 papers · 3.8k · h-index 37

Impact in

Papers in

Jun Sun

155 papers receiving 3.7k citations

Peers

Jun Sun
Comparison fields: 5 of 136
  • Analytical Chemistry 2.3k
  • Biophysics 542
  • Industrial and Manufacturing Engineering 408
  • Plant Science 1.1k
  • Animal Science and Zoology 284
Replace Sergio Cubero with:
Sergio Cubero Spain
Min Huang China
Puneet Mishra Netherlands
Xiaohong Wu China
Nuria Aleixos Spain
Shuxiang Fan China
Qibing Zhu China
Juan Gómez‐Sanchís Spain
Juan Antonio Fernández Pierna Belgium
Jitendra Paliwal Canada
Jun Sun relative to Sergio Cubero Spain Sergio Cubero's profile →
Citations per field
00.5×2×3×3.6×
Sergio Cubero · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

This map shows the geographic impact of Jun Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Sun. 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 Sun. The network helps show where Jun Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Sun, 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 Sun Line = papers co-authored together Jun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020159
2 2019117
3 202288
4 201780
5 202279
6 202078
7 202072
8 202359
9 201559
10 201657
11 202057
12 201557
13 201756
14 201755
15 202155
16 202354
17 202254
18 201853
19 202152
20 201651

About Jun Sun

Jun Sun is a scholar working on Analytical Chemistry, Biomedical Engineering, Industrial and Manufacturing Engineering, Plant Science and Molecular Biology, having authored 167 papers that have together received 3.8k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (111 papers), Advanced Chemical Sensor Technologies (54 papers), Water Quality Monitoring and Analysis (36 papers), Smart Agriculture and AI (19 papers), Spectroscopy Techniques in Biomedical and Chemical Research (18 papers), Remote Sensing and Land Use (15 papers), Remote Sensing in Agriculture (12 papers) and Identification and Quantification in Food (12 papers). The work is most often cited by research in Analytical Chemistry (2.3k citations), Biophysics (542 citations), Industrial and Manufacturing Engineering (408 citations), Plant Science (1.1k citations) and Animal Science and Zoology (284 citations). Jun Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaohong Wu, Xin Zhou, Kunshan Yao, Min Xu, Chunxia Dai, Bing Lu, Yan Tian, Jiehong Cheng, Hanping Mao and Yan Cao. Their work appears in journals such as Journal of Food Process Engineering, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal of Food Processing and Preservation, Foods and Journal of Food Composition and Analysis.

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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