Pengjun Xie

About

Pengjun Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Pengjun Xie has authored 28 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Pengjun Xie’s work include Topic Modeling (27 papers), Natural Language Processing Techniques (23 papers) and Multimodal Machine Learning Applications (7 papers). Pengjun Xie is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (23 papers) and Multimodal Machine Learning Applications (7 papers). Pengjun Xie collaborates with scholars based in China, United States and Cayman Islands. Pengjun Xie's co-authors include Guangwei Xu, Hai-Tao Zheng, Ning Ding, Xiaobin Wang, Yulin Chen, Xu Han, Zhiyuan Liu, Fei Huang, Kewei Tu and Yongliang Shen and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Enlighten: Publications (The University of Glasgow).

In The Last Decade

Co-authorship network of co-authors of Pengjun Xie i

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Fields of papers citing papers by Pengjun Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengjun Xie

Since Specialization

Citations

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