Jun Ji Wu

3.0k citations
163 papers · 2.2k · h-index 23

Impact in

Papers in

Jun Ji Wu

146 papers receiving 2.1k citations

Peers

Jun Ji Wu
Comparison fields: 5 of 147
  • Statistical and Nonlinear Physics 900
  • Geometry and Topology 208
  • Computer Networks and Communications 512
  • Condensed Matter Physics 149
  • Civil and Structural Engineering 217
Replace Raissa M. D’Souza with:
Raissa M. D’Souza United States
Dieter Armbruster United States
Lidia A. Braunstein Argentina
Gerald Paul United States
Keren Erez Israel
A. Carbone Italy
Mao-Bin Hu China
Jie Zhou China
Yanqing Hu China
Regino Criado Spain
Jun Ji Wu relative to Raissa M. D’Souza United States Raissa M. D’Souza's profile →
Citations per field
00.5×2×2.5×
Raissa M. D’Souza · 1×
Citations per year

Countries citing papers authored by Jun Ji Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ji Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011210
2 2010203
3 1999171
4 2015168
5 200787
6
Network Structure Entropy and Its Application to Scale-free Networks
200465
7 201560
8 201645
9 201844
10 201643
11 201237
12 201636
13 201732
14 200730
15 202127
16 201926
17 201926
18 201825
19 202425
20 201024

About Jun Ji Wu

Jun Ji Wu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Management Science and Operations Research, Geometry and Topology and Control and Systems Engineering, having authored 163 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (64 papers), Opinion Dynamics and Social Influence (37 papers), Graph theory and applications (15 papers), Auction Theory and Applications (13 papers), Network Security and Intrusion Detection (13 papers), Opportunistic and Delay-Tolerant Networks (9 papers), Optimization and Search Problems (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (900 citations), Geometry and Topology (208 citations), Computer Networks and Communications (512 citations), Condensed Matter Physics (149 citations) and Civil and Structural Engineering (217 citations). Jun Ji Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongzhong Deng, Yuejin Tan, Mauricio Barahona, Guansheng Peng, Ye Deng, Suoyi Tan, Xin Biao Lu, Yapeng Li, Darui Zhu and Danielle T. Walker. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Chinese Physics Letters, Physica A Statistical Mechanics and its Applications, Information Processing & Management and Reliability Engineering & System Safety.

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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