Wei Peng

61 papers and 494 indexed citations i.

About

Wei Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Wei Peng has authored 61 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Materials Chemistry. Recurrent topics in Wei Peng’s work include Topic Modeling (28 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (9 papers). Wei Peng is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (9 papers). Wei Peng collaborates with scholars based in China, United States and Germany. Wei Peng's co-authors include Sheng‐Fu Wang, Samuel R. Bowman, Alex Warstadt, Anhad Mohananey, Haokun Liu, Alicia Parrish, Wenzhou Yu, Weiyan Jiang, Jiangyan Wang and Dan Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Energy Materials and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Wei Peng i

Fields of papers citing papers by Wei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Peng

Since Specialization
Citations

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