Lipeng Pan
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Bayesian Modeling and Causal Inference 5
- Neural Networks and Applications 3
- Geochemistry and Geologic Mapping 3
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- Multi-Criteria Decision Making 10
- Forecasting Techniques and Applications 4
- Co-authors
- Yong Deng (19 shared papers)Xiaozhuan Gao (14 shared papers)Kang Hao Cheong (4 shared papers)Fan Liu (1 shared paper)Sang‐Bing Tsai (1 shared paper)Danilo Pelusi (3 shared papers)Jianfeng He (2 shared papers)Jiahui Chen (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (5 papers)Information Sciences (4 papers)IEEE Transactions on Fuzzy Systems (3 papers)Applied Intelligence (3 papers)International Journal of Intelligent Systems (2 papers)
- Partner nations
- ChinaJapanSwitzerland
In The Last Decade
Lipeng Pan
25 papers receiving 540 citations
Peers
Comparison fields: 5 of 72
- Management Science and Operations Research 303
- Statistics and Probability 90
- Artificial Intelligence 308
- Computational Theory and Mathematics 142
- Statistics, Probability and Uncertainty 50
Countries citing papers authored by Lipeng Pan
This map shows the geographic impact of Lipeng Pan'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 Lipeng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipeng Pan more than expected).
Fields of papers citing papers by Lipeng Pan
This network shows the impact of papers produced by Lipeng Pan. 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 Lipeng Pan. The network helps show where Lipeng Pan may publish in the future.
Co-authors
The 11 scholars most cited alongside Lipeng Pan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2019 | 68 | |
| 3 | 2019 | 66 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 40 | |
| 6 | 2020 | 40 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 24 | |
| 10 | 2022 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 2 |
About Lipeng Pan
Lipeng Pan is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 551 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (10 papers), Rough Sets and Fuzzy Logic (7 papers), Bayesian Modeling and Causal Inference (5 papers), Forecasting Techniques and Applications (4 papers), Statistical Mechanics and Entropy (4 papers), Fuzzy Systems and Optimization (4 papers), Neural Networks and Applications (3 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Management Science and Operations Research (303 citations), Statistics and Probability (90 citations), Artificial Intelligence (308 citations), Computational Theory and Mathematics (142 citations) and Statistics, Probability and Uncertainty (50 citations). Lipeng Pan has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Yong Deng, Xiaozhuan Gao, Kang Hao Cheong, Fan Liu, Sang‐Bing Tsai, Danilo Pelusi, Jianfeng He, Jiahui Chen, Qian Zhang and Bingyi Kang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Information Sciences, IEEE Transactions on Fuzzy Systems, Applied Intelligence and International Journal of Intelligent 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.