Zejun Sun

709 citations
26 papers · 483 · h-index 13

Impact in

Papers in

Zejun Sun

24 papers receiving 467 citations

Peers

Zejun Sun
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 408
  • Experimental and Cognitive Psychology 87
  • Computer Networks and Communications 89
  • Transportation 26
  • Artificial Intelligence 121
Replace Yabing Yao with:
Yabing Yao China
Lotfi Ben Romdhane Tunisia
Amrita Namtirtha India
Xiaobin Rui China
Stephen Ranshous United States
Chiman Salavati Iran
Liqing Qiu China
Rémy Cazabet France
Ayushi Dalmia India
Zejun Sun relative to Yabing Yao China Yabing Yao's profile →
Citations per field
00.5×2.9×
Yabing Yao · 1×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 202172
3 201751
4 201934
5 202030
6 201830
7 202319
8 202219
9 202018
10 201818
11 202214
12 201912
13 201912
14 201910
15 20239
16 20228
17 20207
18 20246
19 20235
20 20253

About Zejun Sun

Zejun Sun is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 483 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 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), Advanced Text Analysis Techniques (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (408 citations), Experimental and Cognitive Psychology (87 citations), Computer Networks and Communications (89 citations), Transportation (26 citations) and Artificial Intelligence (121 citations). Zejun Sun has collaborated with scholars based in China, Pakistan and Malaysia. Frequent co-authors include Bin Wang, Jinfang Sheng, Aman Ullah, Jun Long, Nasrullah Khan, Junming Shao, Feifei Wang, Yihan Wang, Qinli Yang 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 Information Sciences.

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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