Xiao Li

485 total papers · 7.1k total citations
188 papers, 4.9k citations indexed

About

Xiao Li is a scholar working on Building and Construction, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiao Li has authored 188 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Building and Construction, 25 papers in Computer Vision and Pattern Recognition and 22 papers in Artificial Intelligence. Recurrent topics in Xiao Li's work include BIM and Construction Integration (36 papers), Construction Project Management and Performance (16 papers) and Occupational Health and Safety Research (11 papers). Xiao Li is often cited by papers focused on BIM and Construction Integration (36 papers), Construction Project Management and Performance (16 papers) and Occupational Health and Safety Research (11 papers). Xiao Li collaborates with scholars based in China, Hong Kong and United States. Xiao Li's co-authors include Xiangyu Wang, Qiping Shen, Hung-Lin Chi, Fan Xue, Peng Wu, Albert P.C. Chan, Wen Yi, Weisheng Lu, Yue Teng and Clyde Zhengdao Li and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Xiao Li

168 papers receiving 4.8k citations

Hit Papers

A critical review of virt... 2017 2026 2020 2023 2017 2018 2017 2017 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Xiao Li 2.1k 893 598 590 534 188 4.9k
Samad M. E. Sepasgozar 2.4k 1.2× 982 1.1× 1.0k 1.7× 412 0.7× 597 1.1× 162 5.4k
Chimay Anumba 2.4k 1.2× 1.2k 1.3× 683 1.1× 271 0.5× 507 0.9× 192 4.4k
Fan Xue 3.0k 1.5× 1.3k 1.4× 894 1.5× 621 1.1× 659 1.2× 133 5.1k
Peng Wu 3.7k 1.8× 1.6k 1.8× 582 1.0× 374 0.6× 499 0.9× 163 7.5k
Lukumon O. Oyedele 3.9k 1.9× 1.5k 1.7× 798 1.3× 299 0.5× 486 0.9× 114 7.0k
Jun Wang 3.7k 1.8× 1.1k 1.2× 679 1.1× 457 0.8× 844 1.6× 371 8.7k
Feniosky Peña‐Mora 2.5k 1.2× 1.7k 1.9× 512 0.9× 319 0.5× 1.3k 2.5× 152 5.6k
Lúcio Soibelman 1.7k 0.8× 570 0.6× 212 0.4× 265 0.4× 591 1.1× 143 4.0k
Nan Li 2.5k 1.2× 765 0.9× 286 0.5× 145 0.2× 609 1.1× 370 8.5k
Mehrdad Arashpour 3.4k 1.7× 1.9k 2.1× 716 1.2× 220 0.4× 529 1.0× 190 6.2k

Countries citing papers authored by Xiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Li. A scholar is included among the top collaborators of Xiao Li 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 Xiao Li. Xiao Li 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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