Pingxin Wang

73 papers and 882 indexed citations i.

About

Pingxin Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Pingxin Wang has authored 73 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 34 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Pingxin Wang’s work include Rough Sets and Fuzzy Logic (33 papers), Text and Document Classification Technologies (19 papers) and Data Mining Algorithms and Applications (15 papers). Pingxin Wang is often cited by papers focused on Rough Sets and Fuzzy Logic (33 papers), Text and Document Classification Technologies (19 papers) and Data Mining Algorithms and Applications (15 papers). Pingxin Wang collaborates with scholars based in China, Canada and United States. Pingxin Wang's co-authors include Xibei Yang, Yiyu Yao, Ju‐Sheng Mi, Xiangjian Chen, James A. Holcombe, Hualong Yu, Hua Dai, Yuhua Qian, Vahid Majidi and Keyu Liu and has published in prestigious journals such as Analytical Chemistry, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Pingxin Wang i

Fields of papers citing papers by Pingxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Pingxin Wang

Since Specialization
Citations

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).

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.

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2025