Xiaoliang Bai

94 total papers · 1.6k total citations
68 papers, 1.2k citations indexed

About

Xiaoliang Bai is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Xiaoliang Bai has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 34 papers in Human-Computer Interaction and 15 papers in Mechanical Engineering. Recurrent topics in Xiaoliang Bai's work include Augmented Reality Applications (39 papers), Virtual Reality Applications and Impacts (27 papers) and Interactive and Immersive Displays (15 papers). Xiaoliang Bai is often cited by papers focused on Augmented Reality Applications (39 papers), Virtual Reality Applications and Impacts (27 papers) and Interactive and Immersive Displays (15 papers). Xiaoliang Bai collaborates with scholars based in China, Australia and New Zealand. Xiaoliang Bai's co-authors include Shusheng Zhang, Weiping He, Mark Billinghurst, Peng Wang, Yuxiang Yan, Shuxia Wang, Zhuo Wang, Rui Huang, Changhong Xu and Xiangyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Japanese Journal of Applied Physics and Separation and Purification Technology.

In The Last Decade

Xiaoliang Bai

61 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoliang Bai 726 627 280 231 100 68 1.2k
Weiping He 695 1.0× 626 1.0× 179 0.6× 213 0.9× 56 0.6× 91 1.3k
Thomas F. Stahovich 545 0.8× 429 0.7× 188 0.7× 294 1.3× 73 0.7× 83 1.5k
Karl D. D. Willis 483 0.7× 571 0.9× 161 0.6× 178 0.8× 192 1.9× 33 1.2k
Michele Gattullo 761 1.0× 608 1.0× 334 1.2× 98 0.4× 21 0.2× 41 1.4k
Peng Song 412 0.6× 288 0.5× 178 0.6× 238 1.0× 429 4.3× 84 1.4k
Franco Tecchia 772 1.1× 868 1.4× 82 0.3× 160 0.7× 29 0.3× 58 1.4k
Manfred Lau 601 0.8× 369 0.6× 87 0.3× 98 0.4× 184 1.8× 36 954
Sankar Jayaram 307 0.4× 188 0.3× 698 2.5× 241 1.0× 138 1.4× 52 1.1k
Ryan Schmidt 500 0.7× 400 0.6× 126 0.5× 147 0.6× 658 6.6× 48 1.4k
Loris Barbieri 339 0.5× 294 0.5× 119 0.4× 89 0.4× 20 0.2× 47 915

Countries citing papers authored by Xiaoliang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Bai

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