Jian Wu
- Management Science and Operations Research top 0.05%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Control and Systems Engineering top 1%
- Co-authors
- Francisco ChiclanaEnrique Herrera‐ViedmaHamido FujitaMingshuo CaoQing-wei CaoMi ZhouChangyong LiangQi Sun
- Topics
- Multi-Criteria Decision Making (76 papers)Cognitive Science and Mapping (32 papers)Opinion Dynamics and Social Influence (24 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsStatistics and Probability
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Jian Wu
135 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Management Science and Operations Research 3.8k
- Artificial Intelligence 2.4k
- Statistical and Nonlinear Physics 1.1k
- Computational Theory and Mathematics 945
- Control and Systems Engineering 738
Countries citing papers authored by Jian Wu
This map shows the geographic impact of Jian 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 Jian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Wu more than expected).
Fields of papers citing papers by Jian Wu
This network shows the impact of papers produced by Jian 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 Jian Wu. The network helps show where Jian Wu may publish in the future.
Co-authorship network of co-authors of Jian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wu. A scholar is included among the top collaborators of Jian Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Wu. Jian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 12 | |
| 15 | 25 | |
| 16 | 83 | |
| 17 | 32 | |
| 18 | 91 | |
| 19 | 4 | |
| 20 | Chinese high energy cosmic particle explorer (DAMPE) | 0 |
About Jian Wu
Jian Wu is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 148 papers that have together received 5.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (76 papers), Cognitive Science and Mapping (32 papers) and Opinion Dynamics and Social Influence (24 papers). The work is most often cited by research in Management Science and Operations Research (3.8k citations), Statistical and Nonlinear Physics (1.1k citations) and Statistics and Probability (608 citations). Jian Wu has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Francisco Chiclana, Enrique Herrera‐Viedma, Hamido Fujita, Mingshuo Cao, Qing-wei Cao, Mi Zhou, Changyong Liang, Qi Sun, Sha Wang and Yu‐Wang Chen. Their work appears in journals such as Food Chemistry, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.