Jiapeng Liu
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Co-authors
- Xiuwu LiaoQian LiangJianbo YangWei HuangWenhong ZhaoNa YangMiłosz KadzińskiQingpeng Zhang
- Topics
- Multi-Criteria Decision Making (5 papers)Rough Sets and Fuzzy Logic (3 papers)Imbalanced Data Classification Techniques (2 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsStatistics and Probability
- Journals
- European Journal of Operational ResearchIEEE Transactions on Knowledge and Data EngineeringKnowledge-Based Systems
- Partner nations
- ChinaPolandUnited Kingdom
In The Last Decade
Jiapeng Liu
8 papers receiving 376 citations
Peers
Comparison fields: 5 of 65
- Management Science and Operations Research 230
- Artificial Intelligence 128
- Statistical and Nonlinear Physics 68
- Computational Theory and Mathematics 65
- Information Systems 46
Countries citing papers authored by Jiapeng Liu
This map shows the geographic impact of Jiapeng Liu'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 Jiapeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiapeng Liu more than expected).
Fields of papers citing papers by Jiapeng Liu
This network shows the impact of papers produced by Jiapeng Liu. 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 Jiapeng Liu. The network helps show where Jiapeng Liu may publish in the future.
Co-authorship network of co-authors of Jiapeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiapeng Liu. A scholar is included among the top collaborators of Jiapeng Liu 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 Jiapeng Liu. Jiapeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 75 | |
| 6 | 15 | |
| 7 | 140 | |
| 8 | 72 | |
| 9 | 58 |
About Jiapeng Liu
Jiapeng Liu is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Signal Processing, having authored 9 papers that have together received 388 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Rough Sets and Fuzzy Logic (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (230 citations), Statistical and Nonlinear Physics (68 citations) and Statistics and Probability (36 citations). Jiapeng Liu has collaborated with scholars based in China, Poland and United Kingdom. Frequent co-authors include Xiuwu Liao, Qian Liang, Jianbo Yang, Wei Huang, Wenhong Zhao, Na Yang, Miłosz Kadziński, Qingpeng Zhang, Zhongzhi Xu and Yao Wang. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.
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.