Xiaochang Peng

596 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 Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (2 papers). Xiaochang Peng is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (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, Yue Zhang, Giorgio Satta, Felix Stahlberg, Brian Roark, Richard Sproat and Hao Zhang 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaochang Peng United States 10 291 42 25 22 16 15 312
Bevan Jones United Kingdom 7 294 1.0× 39 0.9× 36 1.4× 21 1.0× 8 0.5× 11 319
Varvara Logacheva Russia 8 454 1.6× 56 1.3× 28 1.1× 41 1.9× 6 0.4× 32 483
Sudha Rao United States 7 376 1.3× 76 1.8× 28 1.1× 62 2.8× 8 0.5× 14 403
Diganta Saha India 8 307 1.1× 21 0.5× 18 0.7× 28 1.3× 6 0.4× 29 335
Daniele Pighin Italy 11 380 1.3× 26 0.6× 26 1.0× 57 2.6× 8 0.5× 32 397
Sudipta Kar United States 10 329 1.1× 28 0.7× 28 1.1× 41 1.9× 11 0.7× 20 362
Alok Ranjan Pal India 7 285 1.0× 17 0.4× 19 0.8× 25 1.1× 6 0.4× 26 308
David Burkett United States 8 298 1.0× 25 0.6× 18 0.7× 31 1.4× 4 0.3× 13 311
Alexandre Passos United States 5 425 1.5× 45 1.1× 34 1.4× 30 1.4× 10 0.6× 12 455
Naveen Arivazhagan United States 3 214 0.7× 55 1.3× 9 0.4× 28 1.3× 8 0.5× 4 249

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

15 of 15 papers shown
1.
Sanjabi, Maziar, et al.. (2022). UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. 51–67. 12 indexed citations
2.
Gildea, Daniel, Giorgio Satta, & Xiaochang Peng. (2019). Ordered Tree Decomposition for HRG Rule Extraction. Computational Linguistics. 45(2). 339–379.
3.
Zhang, Hao, Richard Sproat, Felix Stahlberg, et al.. (2019). Neural Models of Text Normalization for Speech Applications. Computational Linguistics. 45(2). 293–337. 49 indexed citations
4.
5.
Peng, Xiaochang, Linfeng Song, Daniel Gildea, & Giorgio Satta. (2018). Sequence-to-sequence Models for Cache Transition Systems. 1842–1852. 9 indexed citations
6.
Peng, Xiaochang, Daniel Gildea, & Giorgio Satta. (2018). AMR Parsing With Cache Transition Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 15 indexed citations
7.
Gildea, Daniel, Giorgio Satta, & Xiaochang Peng. (2017). Cache Transition Systems for Graph Parsing. Computational Linguistics. 44(1). 85–118. 8 indexed citations
8.
Song, Linfeng, Xiaochang Peng, Yue Zhang, Zhiguo Wang, & Daniel Gildea. (2017). AMR-to-text Generation with Synchronous Node Replacement Grammar. 7–13. 31 indexed citations
9.
Peng, Xiaochang, Chuan Wang, Daniel Gildea, & Nianwen Xue. (2017). Addressing the Data Sparsity Issue in Neural AMR Parsing. 366–375. 45 indexed citations
10.
Peng, Xiaochang & Daniel Gildea. (2016). UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing. 1185–1189. 7 indexed citations
11.
Song, Linfeng, Yue Zhang, Xiaochang Peng, Zhiguo Wang, & Daniel Gildea. (2016). AMR-to-text generation as a Traveling Salesman Problem. 2084–2089. 17 indexed citations
12.
Peng, Xiaochang, Linfeng Song, & Daniel Gildea. (2015). A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing. 32–41. 47 indexed citations
13.
Peng, Xiaochang & Daniel Gildea. (2014). Type-based MCMC for Sampling Tree Fragments from Forests. 1735–1745. 5 indexed citations
14.
Sun, Weiwei, Xiaochang Peng, & Xiaojun Wan. (2013). Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging. 180–188. 3 indexed citations
15.
Grunnet, Niels, Xiaochang Peng, & Niels Tygstrup. (1999). Growth factors and gene expression in cultured rat hepatocytes. Journal of Hepatology. 31(1). 117–122. 14 indexed citations

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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