Pengxiang Cheng

About

Pengxiang Cheng is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Pengxiang Cheng has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Pengxiang Cheng’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (3 papers). Pengxiang Cheng is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (3 papers). Pengxiang Cheng collaborates with scholars based in United States, China and Sweden. Pengxiang Cheng's co-authors include Katrin Erk, Stephen Roller, Xiuqiang He, Raymond J. Mooney, Zhenhua Dong, Mi Luo, Zhenguo Li, Jiashi Feng, Fei Chen and Xiaoli Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Computational Linguistics and Applied Optics.

In The Last Decade

Co-authorship network of co-authors of Pengxiang Cheng i

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Fields of papers citing papers by Pengxiang Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengxiang Cheng. 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 Pengxiang Cheng. The network helps show where Pengxiang Cheng may publish in the future.

Countries citing papers authored by Pengxiang Cheng

Since Specialization

Citations

This map shows the geographic impact of Pengxiang Cheng'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 Pengxiang Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxiang Cheng 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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