Jian-Bo Yang
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Computational Theory and Mathematics top 2%
- Topics
- Multi-Criteria Decision Making (13 papers)Risk and Safety Analysis (5 papers)Quality Function Deployment in Product Design (3 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyArtificial Intelligence
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Jian-Bo Yang
19 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Management Science and Operations Research 1.1k
- Artificial Intelligence 698
- Control and Systems Engineering 387
- Statistics, Probability and Uncertainty 346
- Computational Theory and Mathematics 300
Countries citing papers authored by Jian-Bo Yang
This map shows the geographic impact of Jian-Bo Yang'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-Bo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Bo Yang more than expected).
Fields of papers citing papers by Jian-Bo Yang
This network shows the impact of papers produced by Jian-Bo Yang. 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-Bo Yang. The network helps show where Jian-Bo Yang may publish in the future.
Co-authorship network of co-authors of Jian-Bo Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Bo Yang. A scholar is included among the top collaborators of Jian-Bo Yang 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-Bo Yang. Jian-Bo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 106 | |
| 7 | 20 | |
| 8 | 36 | |
| 9 | 63 | |
| 10 | 83 | |
| 11 | 153 | |
| 12 | 68 | |
| 13 | 66 | |
| 14 | 174 | |
| 15 | 92 | |
| 16 | 235 | |
| 17 | 408 | |
| 18 | 54 | |
| 19 | Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertaintiesbreakdown → | 621 |
About Jian-Bo Yang
Jian-Bo Yang is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Medical Laboratory Technology, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Risk and Safety Analysis (5 papers) and Quality Function Deployment in Product Design (3 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Statistics, Probability and Uncertainty (346 citations) and Artificial Intelligence (698 citations). Jian-Bo Yang has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Dong‐Ling Xu, Ying-Ming Wang, Jun Liu, Kwai‐Sang Chin, Guilan Kong, Jun Ren, Jin Wang, Shuai Liu, Jin Wang and Ian Jenkinson. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.