Richard Xiao

3.4k total citations · 1 hit paper
39 papers, 1.3k citations indexed

About

Richard Xiao is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Richard Xiao has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Language and Linguistics, 18 papers in Artificial Intelligence and 8 papers in Linguistics and Language. Recurrent topics in Richard Xiao's work include Natural Language Processing Techniques (16 papers), Linguistic Variation and Morphology (8 papers) and Second Language Acquisition and Learning (7 papers). Richard Xiao is often cited by papers focused on Natural Language Processing Techniques (16 papers), Linguistic Variation and Morphology (8 papers) and Second Language Acquisition and Learning (7 papers). Richard Xiao collaborates with scholars based in United Kingdom, China and United States. Richard Xiao's co-authors include Tony McEnery, Yukio Tono, Yan Cao, Hongyin Tao, Paul Rayson, Andrew Hardie, Anna Siewierska, Wei He, Jinguo Li and Xiangyi Meng and has published in prestigious journals such as Optics Express, Automation in Construction and Applied Linguistics.

In The Last Decade

Richard Xiao

32 papers receiving 1.1k citations

Hit Papers

Corpus-Based Language Stu... 2006 2026 2012 2019 2006 100 200 300 400
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.

  1. Corpus-Based Language Studies: An Advanced Resource Book
    2006 477 citations Tony McEnery, Richard Xiao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Xiao United Kingdom 15 820 505 351 343 220 39 1.3k
Václav Březina United Kingdom 15 611 0.7× 521 1.0× 324 0.9× 555 1.6× 167 0.8× 42 1.2k
Elena Tognini-Bonelli Czechia 7 559 0.7× 320 0.6× 297 0.8× 179 0.5× 168 0.8× 9 905
Wilbert Spooren Netherlands 15 606 0.7× 412 0.8× 313 0.9× 259 0.8× 456 2.1× 60 1.3k
Vít Baisa Czechia 8 493 0.6× 445 0.9× 167 0.5× 160 0.5× 148 0.7× 44 993
Barbara A. Fox United States 24 1.4k 1.7× 310 0.6× 490 1.4× 275 0.8× 804 3.7× 59 1.8k
Miloš Jakubíček Czechia 7 514 0.6× 461 0.9× 155 0.4× 136 0.4× 169 0.8× 29 1.0k
István Kecskés United States 22 1.1k 1.3× 165 0.3× 494 1.4× 306 0.9× 705 3.2× 60 1.5k
Kirsten Malmkjær United Kingdom 15 530 0.6× 194 0.4× 216 0.6× 179 0.5× 148 0.7× 29 775
Annelie Ädel Sweden 15 638 0.8× 271 0.5× 878 2.5× 445 1.3× 254 1.2× 28 1.2k
Marina Terkourafi United States 16 922 1.1× 177 0.4× 425 1.2× 158 0.5× 438 2.0× 47 1.2k

Countries citing papers authored by Richard Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Richard Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Xiao

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

All Works

20 of 20 papers shown
1.
Xiao, Richard, et al.. (2026). Lightweight semantic segmentation for construction progress monitoring using 3D point clouds. Automation in Construction. 183. 106765–106765.
2.
Li, Jinguo, et al.. (2025). F2PQNN: a fast and secure two-party inference on quantized convolutional neural networks. The Computer Journal. 68(8). 998–1012.
3.
Luo, Junxian, Lei Yu, Han‐Wen Liu, et al.. (2022). Femtosecond laser welding for robust and low loss optical fiber bonding. Optics Express. 30(23). 41092–41092. 4 indexed citations
4.
McEnery, Tony & Richard Xiao. (2016). Corpus-based study of Chinese. 2 indexed citations
5.
Xiao, Richard, et al.. (2015). Corpus-Based Studies of Translational Chinese in English-Chinese Translation. DIAL (Catholic University of Leuven). 41 indexed citations
6.
McEnery, Tony & Richard Xiao. (2014). The development of corpus linguistics in English and Chinese contexts. Kobe University Repository Kernel (Kobe University). 2(2). 7–45. 1 indexed citations
7.
Xiao, Richard, et al.. (2013). Lexical and grammatical properties of Translational Chinese: Translation universal hypotheses reevaluated from the Chinese perspective. Corpus Linguistics and Linguistic Theory. 10(1). 22 indexed citations
8.
Cao, Yan & Richard Xiao. (2013). A multi-dimensional contrastive study of English abstracts by native and non-native writers. Corpora. 8(2). 209–234. 37 indexed citations
9.
Xiao, Richard. (2013). Review of McEnery and Hardie (2012) Corpus Linguistics: Method, Theory and Practice. Lancaster EPrints (Lancaster University). 14 indexed citations
10.
Xiao, Richard, et al.. (2011). “SL shining through” in translational language:A corpus-based study of Chinese translation of English passives. Lancaster EPrints (Lancaster University). 7 indexed citations
11.
Xiao, Richard, et al.. (2010). In pursuit of the "third code" : A study of translation universals based on the ZCTC corpus of translational Chinese. Lancaster EPrints (Lancaster University). 4 indexed citations
12.
Xiao, Richard. (2010). How different is translated Chinese from native Chinese?. International Journal of Corpus Linguistics. 15(1). 5–35. 56 indexed citations
13.
Xiao, Richard. (2009). Multidimensional analysis and the study of world Englishes. World Englishes. 28(4). 421–450. 77 indexed citations
14.
Xiao, Richard. (2009). Using Corpora in Contrastive and Translation Studies. Lancaster EPrints (Lancaster University). 34 indexed citations
15.
Xiao, Richard. (2008). Classifiers in English and Chinese: A corpus-based contrastive study. 11(2). 190–201. 2 indexed citations
16.
Xiao, Richard, et al.. (2008). Corpora and language education. Lancaster EPrints (Lancaster University).
17.
Xiao, Richard & Hongyin Tao. (2008). A corpus-based sociolinguistic study of amplifiers in British English. Sociolinguistic Studies. 1(2). 241–273. 42 indexed citations
18.
McEnery, Tony & Richard Xiao. (2007). Quantifying constructions in English and Chinese: A corpus-based contrastive study. Lancaster EPrints (Lancaster University). 2 indexed citations
19.
Xiao, Richard, et al.. (2006). Passive constructions in English and Chinese. Languages in Contrast. 6(1). 109–149. 65 indexed citations
20.
Xiao, Richard & Tony McEnery. (2006). Collocation, Semantic Prosody, and Near Synonymy: A Cross-Linguistic Perspective. Applied Linguistics. 27(1). 103–129. 173 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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