Minlong Peng

14 papers and 283 indexed citations i.

About

Minlong Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Minlong Peng has authored 14 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Minlong Peng’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (4 papers). Minlong Peng is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (4 papers). Minlong Peng collaborates with scholars based in China and United States. Minlong Peng's co-authors include Xuanjing Huang, Qi Zhang, Tao Gui, Yu–Gang Jiang, Qi Zhang, Haoran Huang, Xu Zhou, Zhigang Chen, Zhigang Chen and Lujun Zhao and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

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

Fields of papers citing papers by Minlong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minlong Peng

Since Specialization
Citations

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