Weili Lin

31.4k citations
583 papers · 24.4k · 9 hit papers · h-index 82

Impact in

Papers in

Weili Lin

538 papers receiving 23.4k citations

Weili Lin's Hit Papers

Source-free unsupervised domain adaptation: A survey 2024 · 86 citations
860+6+13Years since publication250500750

Peers

Weili Lin
Comparison fields: 5 of 205
  • Radiology, Nuclear Medicine and Imaging 8.9k
  • Cognitive Neuroscience 6.6k
  • Pediatrics, Perinatology and Child Health 5.0k
  • Computational Mathematics 146
  • Computer Vision and Pattern Recognition 3.0k
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Weili Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weili Lin Line = papers co-authored together Weili Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 583 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Hit paper breakdown →
2008892
2
Nanoscale Metal−Organic Frameworks as Potential Multimodal Contrast Enhancing Agents
Hit paper breakdown →
2006828
3
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
Hit paper breakdown →
2015675
4
Observation of long-range, near-side angular correlations in pPb collisions at the LHC
Hit paper breakdown →
2012496
5 2009484
6
Infant Brain Atlases from Neonates to 1- and 2-Year-Olds
Hit paper breakdown →
2011461
7 2007387
8
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
Hit paper breakdown →
2018371
9 2011368
10 2003355
11 2014311
12
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
Hit paper breakdown →
2018306
13 2007303
14 2005286
15 2016273
16 2014271
17
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI
Hit paper breakdown →
2017252
18 2008245
19 2011236
20 2005229

About Weili Lin

Weili Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, having authored 583 papers that have together received 24.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (190 papers), Functional Brain Connectivity Studies (153 papers), Advanced MRI Techniques and Applications (146 papers), Neonatal and fetal brain pathology (128 papers), Medical Image Segmentation Techniques (72 papers), Fetal and Pediatric Neurological Disorders (62 papers), Medical Imaging Techniques and Applications (41 papers) and Domain Adaptation and Few-Shot Learning (39 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (8.9k citations), Cognitive Neuroscience (6.6k citations), Pediatrics, Perinatology and Child Health (5.0k citations), Computational Mathematics (146 citations) and Computer Vision and Pattern Recognition (3.0k citations). Weili Lin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Dinggang G. Shen, John H. Gilmore, Hongyu An, Li Wang, Wei Gao, Jeffery Keith Smith, Feng Shi, Guido Gerig, Gang Li and Hongtu Zhu. Their work appears in journals such as NeuroImage, Human Brain Mapping, IEEE Transactions on Medical Imaging, Medical Image Analysis and Magnetic Resonance in Medicine.

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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