Pingxin Wang
Impact in
-
- Rough Sets and Fuzzy Logic
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Advanced Clustering Algorithms Research
- Imbalanced Data Classification Techniques
Papers in
-
- Text and Document Classification Technologies 19
- Advanced Clustering Algorithms Research 13
- Imbalanced Data Classification Techniques 4
-
- Rough Sets and Fuzzy Logic 33
- Co-authors
- Xibei Yang (25 shared papers)Yiyu Yao (4 shared papers)Ju‐Sheng Mi (4 shared papers)Hualong Yu (7 shared papers)Xiangjian Chen (7 shared papers)James A. Holcombe (4 shared papers)Hua Dai (3 shared papers)Yuhua Qian (4 shared papers)
- Journals
- International Journal of Machine Learning and Cybernetics (7 papers)Knowledge-Based Systems (4 papers)IEEE Access (4 papers)Spectrochimica Acta Part B Atomic Spectroscopy (3 papers)International Journal of Approximate Reasoning (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Pingxin Wang
69 papers receiving 971 citations
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 551
- Artificial Intelligence 538
- Information Systems 259
- Computer Vision and Pattern Recognition 190
- Management Science and Operations Research 97
Countries citing papers authored by Pingxin Wang
This map shows the geographic impact of Pingxin Wang'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 Pingxin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingxin Wang more than expected).
Fields of papers citing papers by Pingxin Wang
This network shows the impact of papers produced by Pingxin Wang. 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 Pingxin Wang. The network helps show where Pingxin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingxin Wang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2018 | 105 | |
| 3 | 2019 | 84 | |
| 4 | 2019 | 57 | |
| 5 | 2017 | 55 | |
| 6 | 1989 | 49 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2007 | 26 | |
| 12 | 2021 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 1992 | 21 | |
| 15 | 2020 | 20 | |
| 16 | The Choice of Cost Drivers in Activity-Based Costing: Application at a Chinese Oil Well Cementing Company | 2010 | 19 |
| 17 | 2022 | 18 | |
| 18 | 2014 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2023 | 14 |
About Pingxin Wang
Pingxin Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (33 papers), Text and Document Classification Technologies (19 papers), Data Mining Algorithms and Applications (15 papers), Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (4 papers), Corporate Finance and Governance (4 papers), Smart Grid and Power Systems (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (551 citations), Artificial Intelligence (538 citations), Information Systems (259 citations), Computer Vision and Pattern Recognition (190 citations) and Management Science and Operations Research (97 citations). Pingxin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xibei Yang, Yiyu Yao, Ju‐Sheng Mi, Hualong Yu, Xiangjian Chen, James A. Holcombe, Hua Dai, Yuhua Qian, Keyu Liu and Dun Liu. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Knowledge-Based Systems, IEEE Access, Spectrochimica Acta Part B Atomic Spectroscopy and International Journal of Approximate Reasoning.
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.