Zejun Sun

778 citations
28 papers · 563 · h-index 12

Impact in

Papers in

Zejun Sun

26 papers receiving 555 citations

Peers

Zejun Sun
Comparison fields: 5 of 63
  • Statistical and Nonlinear Physics 457
  • Experimental and Cognitive Psychology 87
  • Transportation 29
  • Computer Networks and Communications 103
  • Artificial Intelligence 131
Replace Xiao-Long Ren with:
Xiao-Long Ren China
Yabing Yao China
Xiaobin Rui China
Amrita Namtirtha India
Chiman Salavati Iran
Rémy Cazabet France
Ayushi Dalmia India
Liqing Qiu China
Zhen Lin China
Igor Mishkovski North Macedonia
Zejun Sun relative to Xiao-Long Ren China Xiao-Long Ren's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zejun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zejun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021119
2 202187
3 201752
4 201938
5 201834
6 202031
7 202327
8 202222
9 202020
10 201820
11 202217
12 201912
13 201912
14 201911
15 202311
16 202310
17 20229
18 20248
19 20208
20 20254

About Zejun Sun

Zejun Sun is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 563 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Opinion Dynamics and Social Influence (20 papers), Mental Health Research Topics (5 papers), Advanced Graph Neural Networks (4 papers), Network Security and Intrusion Detection (4 papers), Data Visualization and Analytics (3 papers), Bioinformatics and Genomic Networks (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (457 citations), Experimental and Cognitive Psychology (87 citations), Transportation (29 citations), Computer Networks and Communications (103 citations) and Artificial Intelligence (131 citations). Zejun Sun has collaborated with scholars based in China, Malaysia and Pakistan. Frequent co-authors include Bin Wang, Jinfang Sheng, Aman Ullah, Jun Bo Long, Nasrullah Khan, Junming Shao, Feifei Wang, Qinli Yang, Yihan Wang and Guihua Duan. Their work appears in journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications, IEEE Access, Expert Systems with Applications and International Journal of Modern Physics C.

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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