Sai Bi

51 total papers · 1.9k total citations
21 papers, 915 citations indexed

About

Sai Bi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Sai Bi has authored 21 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 9 papers in Computational Mechanics. Recurrent topics in Sai Bi's work include Advanced Vision and Imaging (15 papers), Computer Graphics and Visualization Techniques (13 papers) and 3D Shape Modeling and Analysis (9 papers). Sai Bi is often cited by papers focused on Advanced Vision and Imaging (15 papers), Computer Graphics and Visualization Techniques (13 papers) and 3D Shape Modeling and Analysis (9 papers). Sai Bi collaborates with scholars based in United States, Hong Kong and Germany. Sai Bi's co-authors include Kalyan Sunkavalli, Zexiang Xu, Yizhou Yu, Zhixin Shu, Xiaoguang Han, Julien Philip, Qiangeng Xu, Ulrich Neumann, Ravi Ramamoorthi and Hao Su and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.

In The Last Decade

Sai Bi

21 papers receiving 890 citations

Hit Papers

Point-NeRF: Point-based N... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sai Bi 786 440 316 108 101 21 915
Zhengqi Li 766 1.0× 345 0.8× 231 0.7× 120 1.1× 50 0.5× 20 903
Abhishek Kar 866 1.1× 437 1.0× 324 1.0× 128 1.2× 91 0.9× 12 971
Michael Potmesil 712 0.9× 465 1.1× 195 0.6× 126 1.2× 85 0.8× 18 881
Lior Shapira 746 0.9× 253 0.6× 433 1.4× 56 0.5× 121 1.2× 17 1.1k
Zhixin Shu 814 1.0× 334 0.8× 281 0.9× 61 0.6× 54 0.5× 27 948
Eric Haines 444 0.6× 530 1.2× 268 0.8× 49 0.5× 44 0.4× 25 892
Julien Philip 696 0.9× 517 1.2× 310 1.0× 80 0.7× 77 0.8× 15 835
John Amanatides 610 0.8× 692 1.6× 405 1.3× 126 1.2× 77 0.8× 18 1.1k
Gabriel Schwartz 667 0.8× 405 0.9× 371 1.2× 81 0.8× 51 0.5× 12 813
Zhengqin Li 891 1.1× 336 0.8× 194 0.6× 74 0.7× 76 0.8× 23 1.1k

Countries citing papers authored by Sai Bi

Since Specialization
Citations

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

Fields of papers citing papers by Sai Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Bi

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026