Patrick Xia

1.2k total citations
14 papers, 284 citations indexed

About

Patrick Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Patrick Xia has authored 14 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Patrick Xia's work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Patrick Xia is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Patrick Xia collaborates with scholars based in United States, France and Australia. Patrick Xia's co-authors include Benjamin Van Durme, Tongfei Chen, Ian Tenney, Samuel R. Bowman, Najoung Kim, Adam Poliak, Ellie Pavlick, Matt Post, Huda Khayrallah and J. Edward Hu and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Patrick Xia

13 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Xia United States 9 264 60 24 14 10 14 284
Denis Paperno Italy 10 264 1.0× 55 0.9× 11 0.5× 10 0.7× 12 1.2× 30 322
Benjamin Börschinger Australia 7 257 1.0× 42 0.7× 26 1.1× 12 0.9× 7 0.7× 13 297
Shauli Ravfogel Israel 8 255 1.0× 80 1.3× 18 0.8× 4 0.3× 11 1.1× 17 308
Shijie Wu United States 9 552 2.1× 145 2.4× 30 1.3× 11 0.8× 8 0.8× 12 577
Dzmitry Bahdanau Canada 7 149 0.6× 63 1.1× 7 0.3× 18 1.3× 8 0.8× 17 199
Ruiji Fu China 10 329 1.2× 29 0.5× 37 1.5× 40 2.9× 5 0.5× 21 352
Lianhui Qin United States 13 445 1.7× 127 2.1× 26 1.1× 20 1.4× 4 0.4× 20 486
Koustuv Sinha Canada 6 174 0.7× 39 0.7× 16 0.7× 5 0.4× 5 0.5× 20 203
Suchin Gururangan United States 7 210 0.8× 43 0.7× 30 1.3× 7 0.5× 20 2.0× 12 267

Countries citing papers authored by Patrick Xia

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Xia. A scholar is included among the top collaborators of Patrick Xia 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 Patrick Xia. Patrick Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Jhamtani, Harsh, et al.. (2024). Learning to Retrieve Iteratively for In-Context Learning. 7156–7168. 1 indexed citations
2.
Zheng, Boyuan, Patrick Xia, Mahsa Yarmohammadi, & Benjamin Van Durme. (2023). Multilingual Coreference Resolution in Multiparty Dialogue. Transactions of the Association for Computational Linguistics. 11. 922–940. 1 indexed citations
3.
Xia, Patrick, et al.. (2022). Adapting Coreference Resolution Models through Active Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7533–7549. 14 indexed citations
4.
Xia, Patrick & Benjamin Van Durme. (2021). Moving on from OntoNotes: Coreference Resolution Model Transfer. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5241–5256. 18 indexed citations
5.
Xia, Patrick, Guanghui Qin, Tongfei Chen, et al.. (2021). LOME: Large Ontology Multilingual Extraction. 149–159. 11 indexed citations
6.
Xia, Patrick, Shijie Wu, & Benjamin Van Durme. (2020). Which *BERT? A Survey Organizing Contextualized Encoders. 7516–7533. 24 indexed citations
7.
Xia, Patrick, João Sedoc, & Benjamin Van Durme. (2020). Revisiting Memory-Efficient Incremental Coreference Resolution.. arXiv (Cornell University). 1 indexed citations
8.
Xia, Patrick, João Sedoc, & Benjamin Van Durme. (2020). Incremental Neural Coreference Resolution in Constant Memory. 8617–8624. 19 indexed citations
9.
Hu, J. Edward, Huda Khayrallah, Patrick Xia, et al.. (2019). Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. 839–850. 62 indexed citations
10.
Kim, Najoung, Roma Patel, Adam Poliak, et al.. (2019). Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. 235–249. 44 indexed citations
11.
Tenney, Ian, Patrick Xia, Berlin Chen, et al.. (2019). What do you learn from context? Probing for sentence structure in contextualized word representations. arXiv (Cornell University). 67 indexed citations
12.
Kirov, Christo, Ryan Cotterell, John Sylak-Glassman, et al.. (2018). UniMorph 2.0: Universal Morphology. arXiv (Cornell University). 7 indexed citations
13.
Bowman, Samuel R., Ellie Pavlick, Édouard Grave, et al.. (2018). Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.. 11 indexed citations
14.
Xia, Patrick & David Yarowsky. (2017). Deriving Consensus for Multi-Parallel Corpora: an English Bible Study.. International Joint Conference on Natural Language Processing. 2. 448–453. 4 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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