Ben Caine

9 total papers · 1.7k total citations
2 papers, 292 citations indexed

About

Ben Caine is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ben Caine has authored 2 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Automotive Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Ben Caine's work include Autonomous Vehicle Technology and Safety (2 papers), Advanced Vision and Imaging (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Ben Caine is often cited by papers focused on Autonomous Vehicle Technology and Safety (2 papers), Advanced Vision and Imaging (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Ben Caine collaborates with scholars based in United States. Ben Caine's co-authors include Tianjian Meng, Junyang Shen, Quoc V. Le, Yingwei Li, Mingxing Tan, Adams Wei Yu, Alan Yuille, Daiyi Peng, Denny Zhou and Yifeng Lu and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ben Caine

1 paper receiving 281 citations

Hit Papers

DeepFusion: Lidar-Camera ... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ben Caine 221 126 52 41 41 2 292
Yifeng Lu 223 1.0× 126 1.0× 52 1.0× 41 1.0× 41 1.0× 5 305
Daiyi Peng 230 1.0× 126 1.0× 53 1.0× 42 1.0× 41 1.0× 5 313
Xin-Ji Lai 183 0.8× 83 0.7× 39 0.8× 54 1.3× 25 0.6× 7 276
Guoxin Zhang 220 1.0× 101 0.8× 29 0.6× 59 1.4× 24 0.6× 9 311
Guoquan Xu 197 0.9× 109 0.9× 58 1.1× 20 0.5× 65 1.6× 7 293
Lue Fan 210 1.0× 111 0.9× 41 0.8× 44 1.1× 35 0.9× 11 281
Tai Wang 161 0.7× 84 0.7× 47 0.9× 33 0.8× 44 1.1× 8 225
Haiyue Wei 174 0.8× 93 0.7× 25 0.5× 41 1.0× 25 0.6× 8 249
Xuanyao Chen 192 0.9× 111 0.9× 19 0.4× 55 1.3× 13 0.3× 4 276
Jean Lahoud 168 0.8× 87 0.7× 34 0.7× 28 0.7× 52 1.3× 7 233

Countries citing papers authored by Ben Caine

Since Specialization
Citations

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

Fields of papers citing papers by Ben Caine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Caine

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