Bei Xiao

1.4k total citations
40 papers, 953 citations indexed

About

Bei Xiao is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bei Xiao has authored 40 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bei Xiao's work include Visual perception and processing mechanisms (13 papers), Color Science and Applications (8 papers) and Color perception and design (7 papers). Bei Xiao is often cited by papers focused on Visual perception and processing mechanisms (13 papers), Color Science and Applications (8 papers) and Color perception and design (7 papers). Bei Xiao collaborates with scholars based in United States, China and Germany. Bei Xiao's co-authors include David H. Brainard, William T. Freeman, Edward H. Adelson, Ioannis Gkioulekas, Kavita Bala, Kunfeng Zhao, Todd Zickler, Katherine L. Bouman, Peter Battaglia and Xiaolan Zhang and has published in prestigious journals such as ACM Transactions on Graphics, Applied Catalysis A General and PLoS Computational Biology.

In The Last Decade

Bei Xiao

37 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bei Xiao United States	18	388	215	206	190	181	40	953
Zili Liu United States	20	750 1.9×	45 0.2×	517 2.5×	108 0.6×	96 0.5×	67	1.6k
Ming Ronnier Luo China	14	173 0.4×	544 2.5×	63 0.3×	303 1.6×	282 1.6×	85	853
William A. Thornton United States	21	402 1.0×	784 3.6×	171 0.8×	141 0.7×	464 2.6×	91	1.4k
Javier Romero Spain	19	228 0.6×	664 3.1×	72 0.3×	322 1.7×	189 1.0×	58	1.1k
Hao Sun United States	26	804 2.1×	217 1.0×	257 1.2×	36 0.2×	102 0.6×	72	1.7k
Péter Bodrogi Germany	19	343 0.9×	668 3.1×	37 0.2×	140 0.7×	659 3.6×	85	1.0k
Chris Christou United Kingdom	15	216 0.6×	56 0.3×	278 1.3×	177 0.9×	54 0.3×	48	862
Hans Brettel France	15	547 1.4×	424 2.0×	43 0.2×	385 2.0×	177 1.0×	45	1.0k
Kaida Xiao United Kingdom	17	198 0.5×	491 2.3×	42 0.2×	168 0.9×	337 1.9×	97	893
Takanori Igarashi Japan	11	26 0.1×	76 0.4×	127 0.6×	120 0.6×	20 0.1×	64	623

Countries citing papers authored by Bei Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Bei Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Xiao

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

He, Jianfeng, Changbin Li, Min Zhang, et al.. (2025). Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges. Information Fusion. 130. 104057–104057.

Xiao, Bei, et al.. (2025). Material perception connects vision, cognition and action. Nature Reviews Psychology. 4(11). 687–701.

Sawayama, Masataka, et al.. (2024). Probing the link between vision and language in material perception using psychophysics and unsupervised learning. PLoS Computational Biology. 20(10). e1012481–e1012481. 2 indexed citations

Zhang, Xuchao, et al.. (2023). CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. VTechWorks (Virginia Tech). 698–710. 1 indexed citations

Sawayama, Masataka, et al.. (2023). Unsupervised learning reveals interpretable latent representations for translucency perception. PLoS Computational Biology. 19(2). e1010878–e1010878. 6 indexed citations

Nienborg, Hendrikje, et al.. (2019). Manipulating patterns of dynamic deformation elicits the impression of cloth with varying stiffness. Journal of Vision. 19(5). 18–18. 14 indexed citations

Cai, Ting, Yang Ling, Tong Qin, et al.. (2018). Ni–Co–O solid solution dispersed nanocrystalline Co₃O₄ as a highly active catalyst for low-temperature propane combustion. Catalysis Science & Technology. 8(21). 5416–5427. 42 indexed citations

Zhang, Xiaolan, Junhui Ye, Yuan Jing, et al.. (2018). Excellent low-temperature catalytic performance of nanosheet Co-Mn oxides for total benzene oxidation. Applied Catalysis A General. 566. 104–112. 104 indexed citations

Wang, Liya, Deguang Wang, Xiujun Zhang, et al.. (2016). Application of KDQOL-SFTM 1.3 version in evaluating quality of life of maintenance hemodialysis patients in multiple centers. 32(11). 839–846. 1 indexed citations

10.

Tian, Xiaocong, Bei Xiao, Xu Xu, et al.. (2016). Vertically stacked holey graphene/polyaniline heterostructures with enhanced energy storage for on-chip micro-supercapacitors. Nano Research. 9(4). 1012–1021. 39 indexed citations

11.

Xiao, Bei, et al.. (2015). Perceptual Dimensions of Material Properties of Fabrics in Dynamic Scenes. Journal of Vision. 15(12). 938–938. 1 indexed citations

12.

Xiao, Bei, et al.. (2014). Looking against the light: how perception of translucency depends on lighting direction and phase function. Journal of Vision. 14(10). 1316–1316. 1 indexed citations

13.

Xiao, Bei, Bruce Walter, Ioannis Gkioulekas, et al.. (2014). Looking against the light: How perception of translucency depends on lighting direction. Journal of Vision. 14(3). 17–17. 64 indexed citations

14.

Cottaris, Nicolas P., et al.. (2014). RenderToolbox3: MATLAB tools that facilitate physically based stimulus rendering for vision research. Journal of Vision. 14(2). 6–6. 24 indexed citations

15.

Bouman, Katherine L., Bei Xiao, Peter Battaglia, & William T. Freeman. (2013). Estimating the Material Properties of Fabric from Video. Figshare. 1984–1991. 79 indexed citations

16.

Gkioulekas, Ioannis, Bei Xiao, Shuang Zhao, et al.. (2013). Understanding the role of phase function in translucent appearance. ACM Transactions on Graphics. 32(5). 1–19. 60 indexed citations

17.

Xiao, Bei, et al.. (2012). The color constancy of three-dimensional objects. Journal of Vision. 12(4). 6–6. 31 indexed citations

18.

Xiao, Bei & David H. Brainard. (2008). Surface gloss and color perception of 3D objects. Visual Neuroscience. 25(3). 371–385. 72 indexed citations

19.

Brainard, David H., et al.. (2006). Bayesian model of human color constancy. Journal of Vision. 6(11). 10–10. 71 indexed citations

20.

Xiao, Bei & David H. Brainard. (2006). Color perception of 3D objects. PubMed. 2006. 63–68. 12 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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