Lin Shu

2.0k total citations · 1 hit paper
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 Canada. Lin Shu's co-authors include Daniel J. Costello, Chuan Chen, Zhen Chen, Yijing Liu, Zibin Zheng, Yinglong Wu, Junfei Duan, Donghai Wei, Lingjun Li and Zhaoyong Chen 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

Peers

Lin Shu
Yi Zou China
Sheng Ma China
Tie Liu United States
Min Yao China
Vítor Silva Portugal
Michael Kistler United States
Lin Shu
Citations per year, relative to Lin Shu Lin Shu (= 1×) peers Marcos A. M. Vieira

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

20 of 20 papers shown
2.
Shu, Lin, et al.. (2024). Fine-Grained Semantics Enhanced Contrastive Learning for Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8238–8250. 1 indexed citations
3.
Liu, Yanmin, Lijie Yang, Huaqiao Wang, et al.. (2024). Identification and Validation of SLC9A2 as A Potential Tumor Suppressor in Colorectal Cancer: Integrating Bioinformatics Analysis with Experimental Confirmation. Current Medical Science. 44(3). 529–544. 1 indexed citations
4.
Shi, Tingting, et al.. (2024). Current status of research on the mechanisms of tumor-associated macrophages in esophageal cancer progression. Frontiers in Oncology. 14. 1450603–1450603.
6.
Shu, Lin, Hongbin Liu, Rui Tan, et al.. (2023). Abstract 2531: FCN-683, a novel second-generation BCL-2 inhibitor, is highly potent, selective and efficacious against clinically relevant venetoclax-resistant mutations. Cancer Research. 83(7_Supplement). 2531–2531. 1 indexed citations
7.
Shu, Lin, et al.. (2023). Value of radiomics-based two-dimensional ultrasound for diagnosing early diabetic nephropathy. Scientific Reports. 13(1). 20427–20427. 4 indexed citations
9.
Wang, Lan, et al.. (2023). Adipocyte reconstitution of Npy4r gene in Npy4r silenced mice promotes diet-induced obesity.. PubMed. 45(2). 144–155. 3 indexed citations
10.
Wu, Jinxiang, Lin Shu, Lingling Qiu, et al.. (2022). Maternal anxiety affects embryo implantation via impairing adrenergic receptor signaling in decidual cells. Communications Biology. 5(1). 840–840. 10 indexed citations
11.
Liu, Yijing, et al.. (2022). Association between rheumatoid arthritis and thyroid dysfunction: A meta-analysis and systematic review. Frontiers in Endocrinology. 13. 1015516–1015516. 28 indexed citations
12.
Chen, Chuan, Rui Li, Lin Shu, et al.. (2020). Predicting future dynamics from short-term time series using an Anticipated Learning Machine. National Science Review. 7(6). 1079–1091. 27 indexed citations
13.
Shi, Yan‐Chuan, Jackie Lau, Lin Zhou, et al.. (2013). Arcuate NPY Controls Sympathetic Output and BAT Function via a Relay of Tyrosine Hydroxylase Neurons in the PVN. Cell Metabolism. 18(1). 144–144. 3 indexed citations
14.
Wang, Lingling, et al.. (2010). [Clinical study on acupuncture for treatment of chronic functional constipation].. PubMed. 30(2). 97–101. 9 indexed citations
15.
Shu, Lin. (2009). Analysis of Receiver′s Dynamic Range. Modern Electronics Technique. 2 indexed citations
16.
Shu, Lin. (2009). A Simplified Macroscopic Urban Traffic Network Model for Model-Based Predictive Control. IFAC Proceedings Volumes. 286–291. 11 indexed citations
17.
Shu, Lin, et al.. (2008). CIM: Hardware Support for Multi-COS Isolation of RF-UCard. 595–602. 1 indexed citations
18.
Costello, Daniel J. & Lin Shu. (2004). Error Control Coding. 1057 indexed citations breakdown →
19.
Li, Xiangzhe & Lin Shu. (2002). simplified analysis on calculation model of interlayer seismic isolation. Earthquake Engineering and Engineering Vibration. 8 indexed citations
20.
Oria, Vincent, et al.. (2000). DISIMA. 600–600. 4 indexed citations

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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