Min Lü

695 citations
28 papers · 506 · h-index 11

Impact in

Papers in

Min Lü

27 papers receiving 493 citations

Peers

Min Lü
Comparison fields: 5 of 102
  • Cognitive Neuroscience 215
  • Radiology, Nuclear Medicine and Imaging 145
  • Neurology 30
  • Statistical and Nonlinear Physics 44
  • Computational Mathematics 2
Replace Melissa Zavaglia with:
Melissa Zavaglia Germany
Joeran Lepsien Germany
Ricardo Pio Monti United Kingdom
Yinghua Wang China
Béla Weiss Hungary
Rubén Sánchez-Romero United States
Ziwen Peng China
Andrew Michael United States
Kang K. L. Liu United States
Xuyun Wen China
Min Lü relative to Melissa Zavaglia Germany Melissa Zavaglia's profile →
Citations per field
00.5×
Melissa Zavaglia · 1×
Citations per year

Countries citing papers authored by Min Lü

Since Specialization
Citations

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

Fields of papers citing papers by Min Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201276
2 201364
3 201555
4 202252
5 201740
6 201829
7 201729
8 201928
9 201721
10 202019
11 202417
12 202310
13 20189
14 20159
15 20238
16 20157
17 20245
18 20165
19 20204
20 20234

About Min Lü

Min Lü is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pathology and Forensic Medicine and Statistical and Nonlinear Physics, having authored 28 papers that have together received 506 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Neural dynamics and brain function (5 papers), Advanced MRI Techniques and Applications (5 papers), Industrial Gas Emission Control (2 papers), Brain Tumor Detection and Classification (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Transportation Planning and Optimization (2 papers). The work is most often cited by research in Cognitive Neuroscience (215 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Neurology (30 citations), Statistical and Nonlinear Physics (44 citations) and Computational Mathematics (2 citations). Min Lü has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Ruiwang Huang, Jun Wang, Song Zheng, Chunlan Yang, Yong He, Bin Wang, Yuanyuan Fan, Ruibin Zhang, Tongpeng Chu and Shuicai Wu. Their work appears in journals such as Brain Structure and Function, Frontiers in Neurology, Talanta, Bio-Medical Materials and Engineering and Psychology of sport and exercise.

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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