Lin Shu

77 total papers · 2.0k total citations
30 papers, 1.3k citations indexed

About

Lin Shu is a scholar working on Artificial Intelligence, Information Systems and Oncology. According to data from OpenAlex, Lin Shu has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Oncology. Recurrent topics in Lin Shu's work include Advanced Graph Neural Networks (6 papers), Recommender Systems and Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Lin Shu is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Recommender Systems and Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Lin Shu collaborates with scholars based in China, Australia and United States. Lin Shu's co-authors include Daniel J. Costello, Chuan Chen, Zibin Zheng, Zhen Chen, Yijing Liu, Yinglong Wu, Zhaoyong Chen, Lingjun Li, Junfei Duan and Donghai Wei and has published in prestigious journals such as Cell Metabolism, Cancer Research and Scientific Reports.

In The Last Decade

Lin Shu

27 papers receiving 1.2k citations

Hit Papers

Error Control Coding 2004 2026 2011 2018 2004 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Error Control Coding
    2004 1.1k citations Daniel J. Costello, Lin Shu profile →

Author Peers

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

Author Last Decade Papers Cites
Lin Shu 846 718 347 112 102 30 1.3k
Bhavya Kailkhura 240 0.3× 377 0.5× 578 1.7× 114 1.0× 27 0.3× 72 1.2k
Clark D. Thompson 640 0.8× 770 1.1× 343 1.0× 149 1.3× 442 4.3× 28 1.5k
Michael Wu 1.1k 1.3× 1.1k 1.5× 160 0.5× 82 0.7× 338 3.3× 47 1.7k
Israel A. Wagner 456 0.5× 522 0.7× 136 0.4× 388 3.5× 87 0.9× 41 1.3k
Alex Reznik 1.1k 1.3× 867 1.2× 371 1.1× 527 4.7× 47 0.5× 31 1.5k
Gerald M. Masson 410 0.5× 867 1.2× 408 1.2× 103 0.9× 202 2.0× 57 1.2k
Wei Zhang 468 0.6× 466 0.6× 149 0.4× 167 1.5× 82 0.8× 59 1.1k
Ajay Dholakia 1.1k 1.4× 1.2k 1.6× 233 0.7× 28 0.3× 50 0.5× 44 1.5k
J. J. Stiffler 965 1.1× 668 0.9× 824 2.4× 73 0.7× 237 2.3× 22 1.5k
Chunxuan Ye 1.2k 1.4× 620 0.9× 492 1.4× 698 6.2× 51 0.5× 25 1.5k

Countries citing papers authored by Lin Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Shu. A scholar is included among the top collaborators of Lin Shu 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 Lin Shu. Lin Shu 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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2026