Linwei Wang

1.3k citations
99 papers · 934 · h-index 17

Impact in

Papers in

Linwei Wang

95 papers receiving 925 citations

Peers

Linwei Wang
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 536
  • Radiology, Nuclear Medicine and Imaging 257
  • Health Informatics 14
  • Statistics, Probability and Uncertainty 40
  • Cognitive Neuroscience 63
Replace Adityo Prakosa with:
Adityo Prakosa United States
Aurel Neic Austria
Christoph M. Augustin Austria
Anton J. Prassl Austria
Felipe Alonso‐Atienza Spain
Phani P. Chinchapatnam United Kingdom
Joakim Sundnes Norway
Radomí­r Chabiniok United Kingdom
Dongsheng Wu United States
Chen Qin United Kingdom
Linwei Wang relative to Adityo Prakosa United States Adityo Prakosa's profile →
Citations per field
00.5×2×2.9×
Adityo Prakosa · 1×
Citations per year

Countries citing papers authored by Linwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 201572
3 201434
4 201831
5 201930
6 201630
7 202028
8 201226
9 201823
10 201822
11 202021
12 201518
13 201718
14 201918
15 201317
16 201117
17 202017
18 201715
19 201815
20 202312

About Linwei Wang

Linwei Wang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 99 papers that have together received 934 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (47 papers), ECG Monitoring and Analysis (27 papers), Advanced MRI Techniques and Applications (19 papers), Cardiac Imaging and Diagnostics (13 papers), Cardiac Arrhythmias and Treatments (12 papers), Cardiovascular Function and Risk Factors (10 papers), Medical Image Segmentation Techniques (8 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (536 citations), Radiology, Nuclear Medicine and Imaging (257 citations), Health Informatics (14 citations), Statistics, Probability and Uncertainty (40 citations) and Cognitive Neuroscience (63 citations). Linwei Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include John L. Sapp, B. Milan Horáček, Prashnna Gyawali, Ken C. L. Wong, Pengcheng Shi, Dana H. Brooks, Rob MacLeod, Peter van Dam, Olaf Doessel and Heye Zhang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Lecture notes in computer science, Computers in Biology and Medicine and Medical Image Analysis.

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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