Shulong Tan

33 total papers · 1.4k total citations
27 papers, 895 citations indexed

About

Shulong Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shulong Tan has authored 27 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Shulong Tan's work include Advanced Image and Video Retrieval Techniques (9 papers), Recommender Systems and Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Shulong Tan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Recommender Systems and Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Shulong Tan collaborates with scholars based in China, United States and Vietnam. Shulong Tan's co-authors include Jiajun Bu, Chun Chen, Ziyu Guan, Deng Cai, Xiaofei He, Lijun Zhang, Can Wang, Hao Wu, Ping Li and Weijie Zhao and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Shulong Tan

27 papers receiving 869 citations

Author Peers

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

Author Last Decade Papers Cites
Shulong Tan 577 352 270 194 99 27 895
Fei Wang 412 0.7× 508 1.4× 222 0.8× 121 0.6× 84 0.8× 23 821
Junjie Yao 381 0.7× 385 1.1× 155 0.6× 158 0.8× 121 1.2× 39 769
Chaozhuo Li 680 1.2× 272 0.8× 201 0.7× 182 0.9× 45 0.5× 76 927
Anlei Dong 350 0.6× 408 1.2× 275 1.0× 86 0.4× 113 1.1× 39 798
Minsuk Kahng 550 1.0× 227 0.6× 448 1.7× 80 0.4× 94 0.9× 41 1.0k
Jurgen Van Gael 487 0.8× 150 0.4× 100 0.4× 141 0.7× 110 1.1× 20 804
Robert Jäschke 374 0.6× 507 1.4× 122 0.5× 152 0.8× 77 0.8× 47 750
Reza Bosagh Zadeh 276 0.5× 209 0.6× 165 0.6× 164 0.8× 79 0.8× 17 754
Ron Papka 752 1.3× 454 1.3× 139 0.5× 214 1.1× 75 0.8× 10 925
Richard McCreadie 514 0.9× 413 1.2× 104 0.4× 154 0.8× 104 1.1× 66 882

Countries citing papers authored by Shulong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shulong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulong Tan

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