Baifeng Shi

499 total citations
3 papers, 19 citations indexed

About

Baifeng Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Baifeng Shi has authored 3 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Baifeng Shi's work include Visual Attention and Saliency Detection (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Baifeng Shi is often cited by papers focused on Visual Attention and Saliency Detection (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Baifeng Shi collaborates with scholars based in United States and United Kingdom. Baifeng Shi's co-authors include Trevor Darrell, Xin Wang, Han Cai, Marco Pavone, Pavlo Molchanov, Jathushan Rajasegaran, Jan Kautz, Koushil Sreenath, Sifei Liu and Jitendra Malik and has published in prestigious journals such as .

In The Last Decade

Baifeng Shi

1 paper receiving 19 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baifeng Shi United States	1	11	3	3	2	2	3	19
Haojie Li China	3	12 1.1×	2 0.7×	2 0.7×		3 1.5×	12	22
Y. X. Yang China	3	5 0.5×	2 0.7×	3 1.0×		2 1.0×	7	14
Mohana Murali Dasari India	2	12 1.1×		2 0.7×		3 1.5×	3	15
W. H. Shen China	1	9 0.8×		2 0.7×		2 1.0×	2	11
Tai Hu China	3	9 0.8×		2 0.7×	2 1.0×	4 2.0×	7	17
Magauiya Zhussip South Korea	2	7 0.6×	1 0.3×	3 1.0×		2 1.0×	3	10
R. Teixeira De Lima United States	2	15 1.4×		4 1.3×		2 1.0×	4	22
Daiki Matsumoto Japan	3	6 0.5×	2 0.7×	5 1.7×		1 0.5×	8	15
Petro Liashchynskyi Ukraine	3	10 0.9×	3 1.0×	3 1.0×		9 4.5×	6	23
Yunhui Zeng China	3	9 0.8×		2 0.7×			6	20

Countries citing papers authored by Baifeng Shi

Since Specialization

Citations

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

Fields of papers citing papers by Baifeng Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baifeng Shi

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

All Works

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3 of 3 papers shown

1.

Shi, Baifeng, Han Cai, Sifei Liu, et al.. (2025). Scaling Vision Pre-Training to 4K Resolution. 9631–9640.

2.

Darrell, Trevor, Jitendra Malik, Ilija Radosavovic, et al.. (2024). Humanoid Locomotion as Next Token Prediction. 79307–79324.

3.

Shi, Baifeng, Trevor Darrell, & Xin Wang. (2023). Top-Down Visual Attention from Analysis by Synthesis. 2102–2112. 19 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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