Xiaochang Peng

24 total papers · 595 total citations
15 papers, 312 citations indexed

About

Xiaochang Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Xiaochang Peng has authored 15 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Surgery. Recurrent topics in Xiaochang Peng's work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (2 papers). Xiaochang Peng is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (2 papers). Xiaochang Peng collaborates with scholars based in United States, Italy and Singapore. Xiaochang Peng's co-authors include Daniel Gildea, Linfeng Song, Nianwen Xue, Chuan Wang, Giorgio Satta, Yue Zhang, Hao Ma, Felix Stahlberg, Brian Roark and Eider Moore and has published in prestigious journals such as Journal of Hepatology, Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Xiaochang Peng

14 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaochang Peng 291 42 25 22 16 15 312
Benjamin Börschinger 256 0.9× 42 1.0× 12 0.5× 26 1.2× 10 0.6× 13 296
Pamela Forner 270 0.9× 44 1.0× 38 1.5× 63 2.9× 14 0.9× 18 320
Varada Kolhatkar 202 0.7× 19 0.5× 17 0.7× 24 1.1× 15 0.9× 13 238
Bevan Jones 293 1.0× 38 0.9× 36 1.4× 21 1.0× 8 0.5× 11 317
Leonid Boytsov 196 0.7× 43 1.0× 15 0.6× 44 2.0× 15 0.9× 10 261
Pascale Fung 319 1.1× 32 0.8× 9 0.4× 30 1.4× 37 2.3× 22 366
Kilian Evang 312 1.1× 34 0.8× 14 0.6× 21 1.0× 6 0.4× 25 338
Niklas Muennighoff 290 1.0× 51 1.2× 9 0.4× 36 1.6× 6 0.4× 8 357
R. Thomas McCoy 280 1.0× 56 1.3× 11 0.4× 15 0.7× 5 0.3× 18 332
Ben Allison 183 0.6× 23 0.5× 17 0.7× 62 2.8× 26 1.6× 14 243

Countries citing papers authored by Xiaochang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochang Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochang Peng. A scholar is included among the top collaborators of Xiaochang Peng 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 Xiaochang Peng. Xiaochang Peng 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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2026