Daijun Wei

28 papers receiving 914 citations

Peers

Daijun Wei
Comparison fields: 5 of 98
  • Statistical and Nonlinear Physics 438
  • Modeling and Simulation 141
  • Management Science and Operations Research 161
  • Experimental and Cognitive Psychology 84
  • Statistics, Probability and Uncertainty 43
Replace Peican Zhu with:
Peican Zhu China
Mahendra Piraveenan Australia
Zhiming Zheng China
Tao Wen China
Hui Gao China
Shudong Li China
Christian Schneider United States
Lili Rong China
Osman Yağan United States
Olivia Woolley-Meza Switzerland
Daijun Wei relative to Peican Zhu China Peican Zhu's profile →
Citations per field
00.5×1.5×2.3×
Peican Zhu · 1×
Citations per year

Countries citing papers authored by Daijun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Daijun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daijun Wei, 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 Daijun Wei Line = papers co-authored together Daijun Wei 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 2013164
2 2010163
3 201596
4 201188
5 201373
6 201469
7 201444
8 201432
9 201931
10 201530
11 201824
12 201720
13 201719
14 201319
15 201815
16 201613
17 201213
18 201610
19 20128
20 20165

About Daijun Wei

Daijun Wei is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Computational Theory and Mathematics, Experimental and Cognitive Psychology and Statistics and Probability, having authored 28 papers that have together received 961 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Multi-Criteria Decision Making (9 papers), Opinion Dynamics and Social Influence (9 papers), Mental Health Research Topics (8 papers), Rough Sets and Fuzzy Logic (5 papers), Fuzzy Systems and Optimization (4 papers), Complex Systems and Time Series Analysis (3 papers) and Evaluation and Optimization Models (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (438 citations), Modeling and Simulation (141 citations), Management Science and Operations Research (161 citations), Experimental and Cognitive Psychology (84 citations) and Statistics, Probability and Uncertainty (43 citations). Daijun Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Deng, Sankaran Mahadevan, Xinyang Deng, Xiaoge Zhang, Gang Huang, Wanbiao Ma, Yasuhiro Takeuchi, Haixin Zhang, Yong Hu and Bo Wei. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Scientific Reports, IEEE Transactions on Cybernetics, Europhysics Letters (EPL) and Expert Systems with Applications.

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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