Endong Xun

62 total papers · 426 total citations
14 papers, 215 citations indexed

About

Endong Xun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Endong Xun has authored 14 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Endong Xun's work include Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Text Readability and Simplification (3 papers). Endong Xun is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Text Readability and Simplification (3 papers). Endong Xun collaborates with scholars based in China, Taiwan and United States. Endong Xun's co-authors include Changning Huang, Ming Zhou, Jianfeng Gao, Jian‐Yun Nie, Jian Zhang, Lung‐Hao Lee, Bao–Lin Zhang, Ting Liu, Liang Yu and Liping Chang and has published in prestigious journals such as International Conference on Computational Linguistics, Text REtrieval Conference and International Joint Conference on Natural Language Processing.

In The Last Decade

Endong Xun

11 papers receiving 181 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Endong Xun 201 66 18 7 6 14 215
Sascha Rothe 233 1.2× 58 0.9× 33 1.8× 6 0.9× 5 0.8× 9 253
Sue Felshin 149 0.7× 60 0.9× 15 0.8× 5 0.7× 6 1.0× 20 167
Qingqing Cai 198 1.0× 44 0.7× 46 2.6× 6 0.9× 4 0.7× 11 233
Abdulrahman Almuhareb 290 1.4× 112 1.7× 26 1.4× 10 1.4× 9 1.5× 12 315
Shima Gerani 207 1.0× 91 1.4× 19 1.1× 8 1.1× 13 2.2× 11 239
Shiwei Tong 180 0.9× 31 0.5× 28 1.6× 3 0.4× 4 0.7× 18 201
Prathima Rao 194 1.0× 129 2.0× 9 0.5× 9 1.3× 4 0.7× 14 298
Yichen Jiang 173 0.9× 60 0.9× 30 1.7× 7 1.0× 4 0.7× 20 200
Kai Samelin 177 0.9× 181 2.7× 16 0.9× 6 0.9× 3 0.5× 13 272
Keping Bi 106 0.5× 92 1.4× 33 1.8× 7 1.0× 5 0.8× 14 150

Countries citing papers authored by Endong Xun

Since Specialization
Citations

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

Fields of papers citing papers by Endong Xun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Endong Xun

This figure shows the co-authorship network connecting the top 25 collaborators of Endong Xun. A scholar is included among the top collaborators of Endong Xun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Endong Xun. Endong Xun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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