Li Shen

32.5k total citations · 3 hit papers
437 papers, 10.7k citations indexed

About

Li Shen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Li Shen has authored 437 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Molecular Biology, 88 papers in Radiology, Nuclear Medicine and Imaging and 80 papers in Genetics. Recurrent topics in Li Shen's work include Bioinformatics and Genomic Networks (93 papers), Functional Brain Connectivity Studies (75 papers) and Genetic Associations and Epidemiology (67 papers). Li Shen is often cited by papers focused on Bioinformatics and Genomic Networks (93 papers), Functional Brain Connectivity Studies (75 papers) and Genetic Associations and Epidemiology (67 papers). Li Shen collaborates with scholars based in United States, China and United Kingdom. Li Shen's co-authors include Andrew J. Saykin, Shannon L. Risacher, Michael W. Weiner, Sungeun Kim, Jingwen Yan, Kwangsik Nho, Heng Huang, Fillia Makedon, Clifford R. Jack and Jason H. Moore and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Li Shen

399 papers receiving 10.5k citations

Hit Papers

The Alzheimer's Disease Neuroimaging Initiative: A review... 2013 2026 2017 2021 2013 2019 2022 200 400 600
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
    2013 698 citations Michael W. Weiner, Clifford R. Jack et al. Alzheimer s & Dementia profile →
  2. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease
    2019 366 citations Li Shen et al. profile →
  3. Advances and Trends in Omics Technology Development
    2022 238 citations Li Shen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li Shen United States 52 3.5k 2.2k 2.1k 1.9k 1.8k 437 10.7k
John R. Gilbert United States 65 4.4k 1.2× 1.7k 0.8× 684 0.3× 1.3k 0.7× 2.4k 1.4× 288 15.4k
Bing Liu China 52 4.7k 1.3× 2.4k 1.1× 1.1k 0.5× 1.0k 0.6× 2.0k 1.1× 517 14.7k
Stephen T.C. Wong United States 59 6.8k 1.9× 758 0.3× 643 0.3× 1.7k 0.9× 1.0k 0.6× 493 16.9k
Yalin Wang United States 46 1.4k 0.4× 694 0.3× 978 0.5× 1.3k 0.7× 1.1k 0.6× 375 7.7k
Douglas L. Arnold Canada 93 6.4k 1.8× 1.4k 0.7× 3.4k 1.6× 6.5k 3.5× 1.3k 0.7× 705 32.4k
Li Wang China 68 2.5k 0.7× 417 0.2× 642 0.3× 4.9k 2.6× 3.7k 2.1× 828 18.6k
Hongtu Zhu United States 56 991 0.3× 409 0.2× 1.3k 0.6× 2.6k 1.4× 4.0k 2.2× 376 12.4k
Daniel C. Alexander United Kingdom 70 1.8k 0.5× 1.2k 0.6× 2.3k 1.1× 13.5k 7.2× 4.0k 2.2× 413 21.0k
Daniel S. Reich United States 59 2.2k 0.6× 495 0.2× 733 0.3× 4.9k 2.6× 1.9k 1.0× 295 16.2k
Daoqiang Zhang China 55 1.2k 0.3× 851 0.4× 1.9k 0.9× 2.2k 1.2× 2.9k 1.6× 368 12.7k

Countries citing papers authored by Li Shen

Since Specialization
Citations

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

Fields of papers citing papers by Li Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Shen. A scholar is included among the top collaborators of Li Shen 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 Li Shen. Li Shen 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
1.
Feng, Yanbo, Patryk Orzechowski, Jingxuan Bao, et al.. (2025). Automated cytometric gating with human-level performance using bivariate segmentation. Nature Communications. 16(1). 1576–1576.
2.
3.
He, Lifang, et al.. (2024). Multi-Modal Diagnosis of Alzheimer’s Disease Using Interpretable Graph Convolutional Networks. IEEE Transactions on Medical Imaging. 44(1). 142–153. 10 indexed citations
4.
5.
Nho, Kwangsik, Shannon L. Risacher, Shiwei Liu, et al.. (2024). Pathway enrichment in genome‐wide analysis of longitudinal Alzheimer's disease biomarker endophenotypes. Alzheimer s & Dementia. 20(12). 8639–8650. 2 indexed citations
6.
Shen, Li, et al.. (2024). Causality-based Subject and Task Fingerprints using fMRI Time-series Data. PubMed. 2024. 1–10.
7.
Kaufmann, Ralph M., Xuan Wang, Jingxuan Bao, et al.. (2024). Homological Landscape of Human Brain Functional Sub-Circuits. Mathematics. 12(3). 455–455. 4 indexed citations
8.
Goñi, Joaquín, et al.. (2024). Preserving Human Large-Scale Brain Connectivity Fingerprint Identifiability with Random Projections. PubMed. 2024. 1–5. 2 indexed citations
9.
Bao, Jingxuan, Kefei Liu, Junhao Wen, et al.. (2023). Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease. Methods. 218. 27–38. 4 indexed citations
10.
Pan, Junwei, Ximei Wang, Haibin Yu, et al.. (2023). AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10745–10753. 30 indexed citations
11.
Xue, Fei, et al.. (2023). Structural design and mechanical analysis for space-borne electronic equipment. Journal of Physics Conference Series. 2492(1). 12009–12009.
12.
Zhong, Qihuang, Liang Ding, Li Shen, et al.. (2022). Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. 4064–4085. 20 indexed citations
13.
Nayor, Matthew, Li Shen, Gary M. Hunninghake, et al.. (2021). Progress and Research Priorities in Imaging Genomics for Heart and Lung Disease: Summary of an NHLBI Workshop. Circulation Cardiovascular Imaging. 14(8). e012943–e012943. 3 indexed citations
14.
Yao, Xiaohui, Jingwen Yan, Sungeun Kim, et al.. (2015). Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. Lecture notes in computer science. 9250. 115–124. 2 indexed citations
15.
Cong, Shan, Maher Rizkalla, Eliza Yingzi Du, et al.. (2014). Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. PubMed. 2014. 813–816. 9 indexed citations
16.
Swaminathan, Shanker, Li Shen, Shannon L. Risacher, et al.. (2011). Amyloid pathway-based candidate gene analysis of [11C]PiB-PET in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Brain Imaging and Behavior. 6(1). 1–15. 36 indexed citations
17.
Shen, Li. (2009). Fault Diagnosis Based on EMD and Fuzzy Clustering for Diesel Engine. Journal of Northeastern University. 2 indexed citations
18.
19.
Liu, Yong, Li Shen, & Jia Chen. (2006). A study on seasonal CHANGs of the fish communities in the East China Sea and the Huanghai Sea. Acta Oceanologica Sinica. 6 indexed citations
20.
Ye, Song, Fillia Makedon, Li Shen, et al.. (2003). SCENS: a system for the mediated sharing of sensitive data. 263–265. 8 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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Breakdown of academic impact, for papers by John R. Gilbert Breakdown of academic impact, for papers by Bing Liu Breakdown of academic impact, for papers by Stephen T.C. Wong Breakdown of academic impact, for papers by Yalin Wang Breakdown of academic impact, for papers by Douglas L. Arnold Breakdown of academic impact, for papers by Li Wang Breakdown of academic impact, for papers by Hongtu Zhu Breakdown of academic impact, for papers by Daniel C. Alexander Breakdown of academic impact, for papers by Daniel S. Reich Breakdown of academic impact, for papers by Daoqiang Zhang
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