Dunlu Peng

About

Dunlu Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dunlu Peng has authored 44 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 17 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dunlu Peng’s work include Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Text and Document Classification Technologies (7 papers). Dunlu Peng is often cited by papers focused on Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Text and Document Classification Technologies (7 papers). Dunlu Peng collaborates with scholars based in China and United States. Dunlu Peng's co-authors include Cong Liu, Cong Liu, Wuchen Yang, Jianping Lu, Wenjia Peng, Lei Wang, Jun Ai, Chunxue Wu, Ming Zhou and Jun Ai and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

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

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Fields of papers citing papers by Dunlu Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dunlu Peng

Since Specialization

Citations

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