Min Lü

2.3k citations
51 papers · 1.7k · h-index 17

Impact in

Papers in

Min Lü

50 papers receiving 1.6k citations

Peers

Min Lü
Comparison fields: 5 of 151
  • Infectious Diseases 412
  • General Dentistry 7
  • Public Health, Environmental and Occupational Health 352
  • Modeling and Simulation 47
  • Statistics and Probability 96
Replace Kamal Patel with:
Kamal Patel United Kingdom
Michel Jacques Counotte Switzerland
Cathrine Axfors Sweden
James C. McClay United States
Perrine Janiaud United States
Corinna Dressler Germany
Manisha Pahwa Canada
Chorh Chuan Tan Singapore
Kristine E. Lynch United States
Ramkiran Gouripeddi United States
Min Lü relative to Kamal Patel United Kingdom Kamal Patel's profile →
Citations per field
00.5×2×3×3.9×
Kamal Patel · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020588
2 2018192
3 2017111
4 2019110
5 200584
6 201155
7 200949
8 202149
9 202034
10 202231
11 201724
12 202224
13 202223
14 201922
15 202222
16 201221
17 202319
18 202315
19 201913
20 202113

About Min Lü

Min Lü is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability, Infectious Diseases, Modeling and Simulation and Management Science and Operations Research, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 Clinical Research Studies (4 papers), Esophageal Cancer Research and Treatment (3 papers), Statistical Methods and Inference (3 papers), Meta-analysis and systematic reviews (2 papers), Telemedicine and Telehealth Implementation (2 papers), Psychometric Methodologies and Testing (2 papers) and Advanced Differential Equations and Dynamical Systems (2 papers). The work is most often cited by research in Infectious Diseases (412 citations), General Dentistry (7 citations), Public Health, Environmental and Occupational Health (352 citations), Modeling and Simulation (47 citations) and Statistics and Probability (96 citations). Min Lü has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hemant Ishwaran, Jicai Huang, Shigui Ruan, Pei Yu, Daniel J. Feaster, Saad Sadiq, Hao Wang, Samuel B. Green, Wen‐Juo Lo and Roy Levy. Their work appears in journals such as Journal of Differential Equations, PLoS ONE, Statistics in Medicine, World Journal of Pediatrics and Lung Cancer.

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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