Xuchen Yao

1.3k total citations · 1 hit paper
22 papers, 768 citations indexed

About

Xuchen Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xuchen Yao has authored 22 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Xuchen Yao's work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Speech and dialogue systems (4 papers). Xuchen Yao is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Speech and dialogue systems (4 papers). Xuchen Yao collaborates with scholars based in United States, Germany and France. Xuchen Yao's co-authors include Benjamin Van Durme, Peter E. Clark, Chris Callison-Burch, Gosse Bouma, Yi Zhang, Jonathan Berant, Shinji Watanabe, Sanjeev Khudanpur, Yongqing Wang and Wei-Qiang Zhang and has published in prestigious journals such as Language Resources and Evaluation, Journal of Visual Communication and Image Representation and Data Archiving and Networked Services (DANS).

In The Last Decade

Xuchen Yao

21 papers receiving 693 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Information Extraction over Structured Data: Question Answering with Freebase

2014 282 citations Xuchen Yao, Benjamin Van Durme profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuchen Yao United States	11	724	121	99	65	33	22	768
Quan Hung Tran United States	14	345 0.5×	118 1.0×	80 0.8×	51 0.8×	32 1.0×	26	427
Keith Alcock United States	2	322 0.4×	111 0.9×	62 0.6×	26 0.4×	67 2.0×	3	416
Philippe Langlais Canada	16	794 1.1×	100 0.8×	83 0.8×	34 0.5×	70 2.1×	95	863
Ferhan Türe United States	11	440 0.6×	65 0.5×	91 0.9×	23 0.4×	28 0.8×	30	512
Pengjun Xie China	13	586 0.8×	73 0.6×	77 0.8×	24 0.4×	43 1.3×	49	674
Paraskevi Raftopoulou Greece	6	248 0.3×	122 1.0×	38 0.4×	31 0.5×	52 1.6×	17	345
Dan Gillick United States	12	666 0.9×	61 0.5×	66 0.7×	58 0.9×	27 0.8×	16	720
Oier López de Lacalle Spain	16	716 1.0×	65 0.5×	79 0.8×	15 0.2×	62 1.9×	38	765
Franca Debole Italy	5	342 0.5×	178 1.5×	71 0.7×	25 0.4×	21 0.6×	12	393
Christian Girardi Italy	10	475 0.7×	55 0.5×	97 1.0×	20 0.3×	37 1.1×	19	516

Countries citing papers authored by Xuchen Yao

Since Specialization

Citations

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

Fields of papers citing papers by Xuchen Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuchen Yao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Guoguo, Wei-Qiang Zhang, Chao Weng, et al.. (2021). GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio. 3670–3674. 117 indexed citations

2.

Wang, Ronggui, et al.. (2019). Hierarchical deep transfer learning for fine-grained categorization on micro datasets. Journal of Visual Communication and Image Representation. 62. 129–139. 2 indexed citations

3.

Yao, Xuchen. (2015). Lean Question Answering over Freebase from Scratch. 66–70. 34 indexed citations

4.

Pavlick, Ellie, et al.. (2015). Domain-Specific Paraphrase Extraction. 57–62. 7 indexed citations

5.

Yao, Xuchen & Benjamin Van Durme. (2014). Information Extraction over Structured Data: Question Answering with Freebase. 956–966. 282 indexed citations breakdown →

6.

Yao, Xuchen. (2014). Feature-driven Question Answering With Natural Language Alignment. 13 indexed citations

7.

Yao, Xuchen, Jonathan Berant, & Benjamin Van Durme. (2014). Freebase QA: Information Extraction or Semantic Parsing?. 82–86. 25 indexed citations

8.

Yao, Xuchen, Benjamin Van Durme, Chris Callison-Burch, & Peter E. Clark. (2013). Answer Extraction as Sequence Tagging with Tree Edit Distance. North American Chapter of the Association for Computational Linguistics. 858–867. 106 indexed citations

9.

Zhang, Chengzhi, Xuchen Yao, & Chunyu Kit. (2013). Finding More Bilingual Webpages with High Credibility via Link Analysis. CityU Scholars. 138–143. 1 indexed citations

10.

Yao, Xuchen, Benjamin Van Durme, Chris Callison-Burch, & Peter E. Clark. (2013). A Lightweight and High Performance Monolingual Word Aligner. Meeting of the Association for Computational Linguistics. 2. 702–707. 27 indexed citations

11.

Yao, Xuchen, Benjamin Van Durme, & Peter E. Clark. (2013). Automatic Coupling of Answer Extraction and Information Retrieval. Meeting of the Association for Computational Linguistics. 159–165. 10 indexed citations

12.

Yao, Xuchen, Benjamin Van Durme, Chris Callison-Burch, & Peter E. Clark. (2013). Semi-Markov Phrase-Based Monolingual Alignment. 590–600. 26 indexed citations

13.

Wolfe, Travis, Benjamin Van Durme, Mark Dredze, et al.. (2013). PARMA: A Predicate Argument Aligner. Meeting of the Association for Computational Linguistics. 63–68. 9 indexed citations

14.

Yao, Xuchen, Grace Chen, Ron Artstein, et al.. (2012). Creating Conversational Characters Using Question Generation Tools. 3(2). 125–146. 9 indexed citations

15.

Yao, Xuchen, Gosse Bouma, & Yi Zhang. (2012). Semantics-based Question Generation and Implementation. Data Archiving and Networked Services (DANS). 3(2). 11–42. 27 indexed citations

16.

Clark, Peter E., P.V. Harrison, & Xuchen Yao. (2012). An Entailment-Based Approach to the QA4MRE Challenge.. 3 indexed citations

17.

Yao, Xuchen, Benjamin Van Durme, & Chris Callison-Burch. (2012). Expectations of Word Sense in Parallel Corpora. 621–625. 5 indexed citations

18.

Yao, Xuchen & Benjamin Van Durme. (2011). Nonparametric Bayesian word sense induction. 10–14. 24 indexed citations

19.

Yao, Xuchen, et al.. (2010). PDTB XML: the XMLization of the Penn Discourse TreeBank 2.0. Language Resources and Evaluation. 3 indexed citations

20.

Yao, Xuchen, et al.. (2010). Practical Evaluation of Speech Recognizers for Virtual Human Dialogue Systems. Language Resources and Evaluation. 7 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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