Shaojun Cai

16 total papers · 535 total citations
6 papers, 310 citations indexed

About

Shaojun Cai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Shaojun Cai has authored 6 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Shaojun Cai's work include Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Shaojun Cai is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Shaojun Cai collaborates with scholars based in China, Singapore and Japan. Shaojun Cai's co-authors include David Hsu, Nan Ye, Wee Sun Lee, Haoyu Bai, Fei Xue, Junqiu Wang, Yiping Yang, Yinghao Cai, Tao Lu and Jixiang Zhang and has published in prestigious journals such as .

In The Last Decade

Shaojun Cai

6 papers receiving 299 citations

Author Peers

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

Author						Papers	Cites
Shaojun Cai	190	125	94	90	70	6	310
Daniel Althoff	195 1.0×	167 1.3×	65 0.7×	52 0.6×	126 1.8×	14	313
Antonio Prioletti	203 1.1×	160 1.3×	54 0.6×	59 0.7×	45 0.6×	10	325
Florian Homm	111 0.6×	226 1.8×	70 0.7×	48 0.5×	85 1.2×	4	321
Ewoud A. I. Pool	161 0.8×	165 1.3×	98 1.0×	55 0.6×	42 0.6×	7	341
Yuanfu Luo	136 0.7×	158 1.3×	22 0.2×	78 0.9×	74 1.1×	10	261
Jamil Fayyad	143 0.8×	117 0.9×	99 1.1×	76 0.8×	39 0.6×	10	352
Maximilian Naumann	124 0.7×	223 1.8×	48 0.5×	38 0.4×	95 1.4×	9	313
Christoph Schöller	114 0.6×	152 1.2×	41 0.4×	78 0.9×	24 0.3×	6	249
Benjamin Caine	152 0.8×	202 1.6×	45 0.5×	71 0.8×	50 0.7×	2	332
R. Omar Chavéz-García	193 1.0×	100 0.8×	133 1.4×	85 0.9×	46 0.7×	9	350

Countries citing papers authored by Shaojun Cai

Since Specialization

Citations

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

Fields of papers citing papers by Shaojun Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Cai

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