Jianlong Tan

121 total papers · 1.8k total citations
66 papers, 996 citations indexed

About

Jianlong Tan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jianlong Tan has authored 66 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Jianlong Tan's work include Network Packet Processing and Optimization (10 papers), Advanced Graph Neural Networks (10 papers) and Topic Modeling (10 papers). Jianlong Tan is often cited by papers focused on Network Packet Processing and Optimization (10 papers), Advanced Graph Neural Networks (10 papers) and Topic Modeling (10 papers). Jianlong Tan collaborates with scholars based in China, Australia and United States. Jianlong Tan's co-authors include Li Guo, Xiaofei Zhou, Qiannan Zhu, Zeliang Song, Jia Wu, Weifeng Zhang, Jing Yu, Xingquan Zhu, Peng Zhang and Hongtao Xie and has published in prestigious journals such as Pattern Recognition, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jianlong Tan

59 papers receiving 956 citations

Author Peers

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

Author Last Decade Papers Cites
Jianlong Tan 694 344 252 123 91 66 996
Lukáš Chrpa 742 1.1× 276 0.8× 123 0.5× 118 1.0× 53 0.6× 78 1.1k
Shu Zhao 637 0.9× 270 0.8× 301 1.2× 70 0.6× 64 0.7× 109 1.1k
Chenghao Liu 476 0.7× 482 1.4× 187 0.7× 143 1.2× 81 0.9× 54 1.1k
Minsuk Kahng 550 0.8× 448 1.3× 227 0.9× 98 0.8× 44 0.5× 41 1.0k
Rana Forsati 648 0.9× 203 0.6× 429 1.7× 193 1.6× 74 0.8× 39 1.1k
Junyang Chen 417 0.6× 289 0.8× 181 0.7× 92 0.7× 39 0.4× 72 883
Sabrina Senatore 610 0.9× 196 0.6× 332 1.3× 129 1.0× 121 1.3× 92 1.1k
Gongshen Liu 592 0.9× 353 1.0× 195 0.8× 102 0.8× 31 0.3× 93 1.0k
Tansel Özyer 389 0.6× 208 0.6× 179 0.7× 167 1.4× 41 0.5× 88 908
Lorcan Coyle 402 0.6× 320 0.9× 363 1.4× 255 2.1× 62 0.7× 43 930

Countries citing papers authored by Jianlong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jianlong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianlong Tan

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