Shangshu Yu

21 total papers · 614 total citations
15 papers, 378 citations indexed

About

Shangshu Yu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Shangshu Yu has authored 15 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 4 papers in Environmental Engineering. Recurrent topics in Shangshu Yu's work include Robotics and Sensor-Based Localization (9 papers), Advanced Neural Network Applications (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Shangshu Yu is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Neural Network Applications (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Shangshu Yu collaborates with scholars based in China, Singapore and United States. Shangshu Yu's co-authors include Cheng Wang, Jonathan Li, Saifullahi Aminu Bello, Chenglu Wen, Minghao Liu, Ming Cheng, Weiquan Liu, Yanfei Su, Zhimin Yuan and Guosheng Hu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Shangshu Yu

12 papers receiving 372 citations

Hit Papers

Review: Deep Learning on ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shangshu Yu 198 182 120 111 102 15 378
Saifullahi Aminu Bello 158 0.8× 161 0.9× 101 0.8× 119 1.1× 56 0.5× 14 363
Jia Sun 95 0.5× 86 0.5× 149 1.2× 85 0.8× 62 0.6× 13 345
Xianghong Hua 147 0.7× 117 0.6× 87 0.7× 85 0.8× 128 1.3× 33 380
Dawei Zai 216 1.1× 263 1.4× 100 0.8× 60 0.5× 103 1.0× 14 365
E. K. Stathopoulou 251 1.3× 141 0.8× 199 1.7× 30 0.3× 129 1.3× 26 413
Anđelo Martinović 235 1.2× 158 0.9× 172 1.4× 60 0.5× 48 0.5× 10 368
Kyle Gao 115 0.6× 115 0.6× 136 1.1× 104 0.9× 32 0.3× 31 345
Dening Lu 210 1.1× 149 0.8× 130 1.1× 163 1.5× 49 0.5× 22 385
Raoul Wessel 299 1.5× 242 1.3× 137 1.1× 41 0.4× 128 1.3× 20 428
Massimo Martini 322 1.6× 194 1.1× 119 1.0× 66 0.6× 16 0.2× 13 443

Countries citing papers authored by Shangshu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shangshu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangshu Yu

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