Weili Lin

30.5k total citations · 7 hit papers
509 papers, 19.5k citations indexed

About

Weili Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Weili Lin has authored 509 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 291 papers in Radiology, Nuclear Medicine and Imaging, 157 papers in Pediatrics, Perinatology and Child Health and 136 papers in Cognitive Neuroscience. Recurrent topics in Weili Lin's work include Advanced Neuroimaging Techniques and Applications (183 papers), Advanced MRI Techniques and Applications (148 papers) and Functional Brain Connectivity Studies (129 papers). Weili Lin is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (183 papers), Advanced MRI Techniques and Applications (148 papers) and Functional Brain Connectivity Studies (129 papers). Weili Lin collaborates with scholars based in United States, China and South Korea. Weili Lin's co-authors include Dinggang Shen, John H. Gilmore, Hongyu An, J. Keith Smith, Wei Gao, Feng Shi, Li Wang, Guido Gerig, Gang Li and Hongtu Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Weili Lin

468 papers receiving 19.2k citations

Hit Papers

A Structural MRI Study of Human Brain Development from Bi... 2006 2026 2012 2019 2008 2006 2015 2011 2018 250 500 750
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. A Structural MRI Study of Human Brain Development from Birth to 2 Years
    2008 778 citations J. Keith Smith, Weili Lin et al. profile →
  2. Nanoscale Metal−Organic Frameworks as Potential Multimodal Contrast Enhancing Agents
    2006 778 citations Weili Lin et al. profile →
  3. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
    2015 581 citations Li Wang, Weili Lin et al. profile →
  4. Infant Brain Atlases from Neonates to 1- and 2-Year-Olds
    2011 425 citations John H. Gilmore, Weili Lin et al. profile →
  5. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose
    2018 321 citations David S. Lalush, Weili Lin et al. profile →
  6. The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
    2018 243 citations Brittany Howell, Wei Gao et al. profile →
  7. Source-free unsupervised domain adaptation: A survey
    2024 53 citations Yuqi Fang, Pew‐Thian Yap et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weili Lin United States 74 8.7k 6.0k 4.9k 2.5k 1.4k 509 19.5k
Joseph V. Hajnal United Kingdom 80 11.2k 1.3× 3.6k 0.6× 7.4k 1.5× 3.2k 1.3× 2.5k 1.8× 546 24.4k
Brian Avants United States 56 9.6k 1.1× 7.9k 1.3× 2.2k 0.4× 3.7k 1.5× 1.4k 1.0× 157 22.4k
John G. Sled Canada 52 5.1k 0.6× 2.6k 0.4× 2.0k 0.4× 1.7k 0.7× 914 0.7× 239 13.9k
Michael Brady United Kingdom 41 7.2k 0.8× 7.1k 1.2× 722 0.1× 5.1k 2.1× 1.0k 0.7× 196 20.3k
G. Bruce Pike Canada 77 10.3k 1.2× 8.0k 1.3× 2.0k 0.4× 840 0.3× 824 0.6× 369 22.6k
James C. Gee United States 64 14.3k 1.6× 9.3k 1.5× 3.1k 0.6× 5.3k 2.2× 2.7k 1.9× 370 33.1k
Bennett A. Landman United States 49 6.2k 0.7× 1.9k 0.3× 756 0.2× 2.7k 1.1× 1.1k 0.8× 465 11.0k
Jan Sijbers Belgium 60 9.2k 1.1× 2.4k 0.4× 1.3k 0.3× 1.9k 0.8× 2.4k 1.8× 415 15.4k
Paul A. Yushkevich United States 45 7.9k 0.9× 4.3k 0.7× 1.7k 0.3× 3.2k 1.3× 1.9k 1.4× 218 18.2k
D. Louis Collins Canada 85 13.8k 1.6× 12.1k 2.0× 2.5k 0.5× 7.3k 3.0× 3.1k 2.3× 515 37.2k

Countries citing papers authored by Weili Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weili Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weili Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Weili Lin. A scholar is included among the top collaborators of Weili Lin 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 Weili Lin. Weili Lin 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.
Thistle, Jake E., Chih‐Wei Liu, Julia E. Rager, et al.. (2024). Urinary metabolite concentrations of phthalate and plasticizers in infancy and childhood in the UNC baby connectome project. Environmental Research. 259. 119467–119467. 1 indexed citations
2.
Fang, Yuqi, Pew‐Thian Yap, Weili Lin, Hongtu Zhu, & Mingxia Liu. (2024). Source-free unsupervised domain adaptation: A survey. Neural Networks. 174. 106230–106230. 53 indexed citations breakdown →
3.
4.
Yun, Hyuk Jin, Usha D. Nagaraj, P. Ellen Grant, et al.. (2024). A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques. American Journal of Neuroradiology. 45(2). 218–223. 1 indexed citations
5.
Samuel, Tinu Mary, Tengfei Li, Brittany Howell, et al.. (2023). Interactions between Bifidobacterium and Bacteroides and human milk oligosaccharides and their associations with infant cognition. Frontiers in Nutrition. 10. 1216327–1216327. 15 indexed citations
6.
Lin, Wei‐Chun, et al.. (2023). Association between Instagram addiction and well-being: the role of resilience and self-esteem. European Journal of Public Health. 33(Supplement_2). 1 indexed citations
7.
Huang, Yunzhi, Sahar Ahmad, Luyi Han, et al.. (2023). Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognition. 143. 109715–109715. 1 indexed citations
8.
Chen, Liangjun, Zhengwang Wu, Tengfei Li, et al.. (2023). Longitudinal development of the cerebellum in human infants during the first 800 days. Cell Reports. 42(4). 112281–112281. 2 indexed citations
9.
Ni, Hao, Xin Zhang, Xiangmin Xu, et al.. (2022). Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. UCL Discovery (University College London). 3 indexed citations
10.
Wen, Xuyun, et al.. (2020). Development of Dynamic Functional Architecture during Early Infancy. Cerebral Cortex. 30(11). 5626–5638. 13 indexed citations
11.
Lin, Weili, et al.. (2020). Electro-Acupuncture on ST36 and SP6 Acupoints Ameliorates Lung Injury via Sciatic Nerve in a Rat Model of Limb Ischemia-Reperfusion. SHILAP Revista de lepidopterología.
12.
Ao, Lin, et al.. (2019). A novel mutation panel for predicting etoposide resistance in small-cell lung cancer. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Lin, Weili, et al.. (2019). The correlation of muscle thickness and pennation angle assessed by ultrasound with sarcopenia in elderly Chinese community dwellers. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Xie, Xing, et al.. (2019). CDK4/6 Inhibitor Palbociclib Amplifies the Radiosensitivity to Nasopharyngeal Carcinoma Cells via Mediating Apoptosis and Suppressing DNA Damage Repair. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Xiang, Lei, Yong Chen, Wei‐Tang Chang, et al.. (2018). Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. Lecture notes in computer science. 11070. 215–223. 38 indexed citations
16.
Wei, Hongjiang, Russell Dibb, Kyle Decker, et al.. (2017). Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magnetic Resonance in Medicine. 78(5). 1933–1943. 50 indexed citations
17.
Brooks, Samira A., Amir H. Khandani, Julia R. Fielding, et al.. (2016). Alternate Metabolic Programs Define Regional Variation of Relevant Biological Features in Renal Cell Carcinoma Progression. Clinical Cancer Research. 22(12). 2950–2959. 19 indexed citations
18.
Zhu, Yong‐Guan, et al.. (2016). Plasma homocysteine level is a risk factor for osteoporotic fractures in elderly patients. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Xu, Xiaobin, et al.. (2015). 华北平原夜间对流性天气对地面O 3 混合比的抬升效应. 26(3). 280–290. 3 indexed citations
20.
Gao, Wei, Hongtu Zhu, Kelly S. Giovanello, et al.. (2009). Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects. Proceedings of the National Academy of Sciences. 106(16). 6790–6795. 400 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joseph V. Hajnal Breakdown of academic impact, for papers by Brian Avants Breakdown of academic impact, for papers by John G. Sled Breakdown of academic impact, for papers by Michael Brady Breakdown of academic impact, for papers by G. Bruce Pike Breakdown of academic impact, for papers by James C. Gee Breakdown of academic impact, for papers by Bennett A. Landman Breakdown of academic impact, for papers by Jan Sijbers Breakdown of academic impact, for papers by Paul A. Yushkevich Breakdown of academic impact, for papers by D. Louis Collins
Rankless by CCL
2026