Daijun Wei
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Facility Location and Emergency Management
Papers in
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- Complex Network Analysis Techniques 17
- Opinion Dynamics and Social Influence 8
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- Bioinformatics and Genomic Networks 4
- Co-authors
- Yong Deng (4 shared papers)Cai Gao (2 shared papers)Sankaran Mahadevan (1 shared paper)Yong Hu (1 shared paper)Zili Zhang (2 shared papers)Xiaoge Zhang (1 shared paper)Yajuan Zhang (1 shared paper)Jia Zhu (3 shared papers)
- Journals
- Mathematical Biosciences & Engineering (3 papers)Physica A Statistical Mechanics and its Applications (3 papers)AIP Advances (2 papers)IEEE Access (2 papers)Journal of Computational Science (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Daijun Wei
22 papers receiving 319 citations
Peers
Comparison fields: 5 of 75
- Statistical and Nonlinear Physics 147
- Organizational Behavior and Human Resource Management 48
- Industrial and Manufacturing Engineering 35
- Transportation 17
- Ocean Engineering 38
Countries citing papers authored by Daijun Wei
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
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 18 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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 108 | |
| 2 | 2013 | 84 | |
| 3 | 2019 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 16 | |
| 6 | Centrality measure in weighted networks based on an amoeboid algorithm | 2012 | 15 |
| 7 | 2014 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Daijun Wei
Daijun Wei is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Economics and Econometrics, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (8 papers), Complex Systems and Time Series Analysis (6 papers), Bioinformatics and Genomic Networks (4 papers), Graph theory and applications (2 papers), Slime Mold and Myxomycetes Research (2 papers), Computational Drug Discovery Methods (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (147 citations), Organizational Behavior and Human Resource Management (48 citations), Industrial and Manufacturing Engineering (35 citations), Transportation (17 citations) and Ocean Engineering (38 citations). Daijun Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Deng, Cai Gao, Sankaran Mahadevan, Yong Hu, Zili Zhang, Xiaoge Zhang, Yajuan Zhang, Jia Zhu, Feng Tian and Mingli Lei. Their work appears in journals such as Mathematical Biosciences & Engineering, Physica A Statistical Mechanics and its Applications, AIP Advances, IEEE Access and Journal of Computational Science.
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.