Jacqueline Chen

49 papers receiving 2.7k citations

Jacqueline Chen's Hit Papers

Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis 2002 · 1.7k citations
1.7k0+8+16Years since publication50010001.5k

Peers

Jacqueline Chen
Comparison fields: 5 of 155
  • Pathology and Forensic Medicine 877
  • Neurology 271
  • Neurology 448
  • Radiology, Nuclear Medicine and Imaging 658
  • Hardware and Architecture 171
Replace Phil Lee with:
Phil Lee United States
Mohamed Akil France
David M. Cash United Kingdom
George N. Papadimitriou Greece
Michael Wainberg Canada
David T. Miller United States
Peng‐Sheng Chen United States
Won Kim United States
Kook Jin Ahn South Korea
Peter Chin United States
Jacqueline Chen relative to Phil Lee United States Phil Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jacqueline Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jacqueline Chen, 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 Jacqueline Chen Line = papers co-authored together Jacqueline Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Hit paper breakdown →
20021710
2 2001157
3 2013131
4 2018102
5 201296
6 201450
7 201442
8 202138
9 200537
10 201333
11 201520
12 201320
13 201120
14 200720
15 202019
16 201518
17 202117
18 201517
19 201716
20 201516

About Jacqueline Chen

Jacqueline Chen is a scholar working on Computer Networks and Communications, Neurology, Physiology, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (10 papers), Distributed and Parallel Computing Systems (6 papers), Scientific Computing and Data Management (6 papers), Neurological disorders and treatments (4 papers), Mobile Health and mHealth Applications (4 papers), Physical Activity and Health (4 papers), Multiple Sclerosis Research Studies (4 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (877 citations), Neurology (271 citations), Neurology (448 citations), Radiology, Nuclear Medicine and Imaging (658 citations) and Hardware and Architecture (171 citations). Jacqueline Chen has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Yongyue Zhang, Antonio Federico, Paul M. Matthews, Mark Jenkinson, Nicola De Stefano, Stephen M. Smith, Hemanth Kolla, Douglas L. Arnold, Scott Klasky and Manish Parashar. Their work appears in journals such as Journal of Visualized Experiments, Scientific Reports, Acta Neuropathologica Communications, IEEE Transactions on Visualization and Computer Graphics and American Journal of Preventive 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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