Shulin Yang

89 total papers · 760 total citations
35 papers, 432 citations indexed

About

Shulin Yang is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shulin Yang has authored 35 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shulin Yang's work include Blockchain Technology Applications and Security (4 papers), Mobile and Web Applications (3 papers) and Software System Performance and Reliability (3 papers). Shulin Yang is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Mobile and Web Applications (3 papers) and Software System Performance and Reliability (3 papers). Shulin Yang collaborates with scholars based in China, United States and Singapore. Shulin Yang's co-authors include Mei Chen, Dean Pomerleau, Rahul Sukthankar, Kuo‐Chu Chang, Linda G. Shapiro, Liefeng Bo, Jue Wang, Matthew L. Speltz, Michael L. Cunningham and Ming Tong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optical Engineering and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Shulin Yang

29 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Shulin Yang 195 123 114 83 48 35 432
Van Huan Nguyen 115 0.6× 41 0.3× 71 0.6× 14 0.2× 34 0.7× 25 449
S. Amirhassan Monadjemi 172 0.9× 82 0.7× 24 0.2× 79 1.0× 16 0.3× 42 418
Manas Ranjan Prusty 57 0.3× 140 1.1× 16 0.1× 31 0.4× 23 0.5× 32 442
Suphakant Phimoltares 132 0.7× 145 1.2× 33 0.3× 20 0.2× 89 1.9× 51 418
Rawad Abdulghafor 54 0.3× 43 0.3× 34 0.3× 29 0.3× 35 0.7× 48 434
Krishna Chandramouli 146 0.7× 95 0.8× 16 0.1× 11 0.1× 92 1.9× 41 432
Ashish Mishra 95 0.5× 39 0.3× 26 0.2× 19 0.2× 58 1.2× 37 428
Sanju Tiwari 61 0.3× 159 1.3× 36 0.3× 9 0.1× 72 1.5× 26 480
Ibrahim Radwan 143 0.7× 135 1.1× 34 0.3× 5 0.1× 26 0.5× 31 423
S. Aasha Nandhini 88 0.5× 31 0.3× 23 0.2× 14 0.2× 12 0.3× 31 374

Countries citing papers authored by Shulin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Yang

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