Zhenzhen Lu

1.6k citations
29 papers · 1.1k · h-index 12

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Statistical Distribution Estimation and Applications
    • COVID-19 epidemiological studies

Papers in

Zhenzhen Lu

28 papers receiving 1.1k citations

Peers

Zhenzhen Lu
Comparison fields: 5 of 139
  • Statistics and Probability 419
  • Modeling and Simulation 69
  • Statistics, Probability and Uncertainty 71
  • Finance 99
  • Management Science and Operations Research 90
Replace Surajit Ray with:
Surajit Ray United States
Yongdai Kim South Korea
Wenjiang Fu United States
A. Adam Ding United States
S. Yakowitz United States
Sara A. van de Geer Netherlands
James Thompson United States
Mariano J. Valderrama Spain
Ramón Gutiérrez Jáimez Spain
Christine Thomas‐Agnan France
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Citations per field
00.5×4.3×
Surajit Ray · 1×
Citations per year

Countries citing papers authored by Zhenzhen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenzhen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007301
2 2007223
3 2004198
4 201566
5 201544
6 201337
7 201034
8 202032
9 202026
10 202020
11 202116
12 202113
13 202210
14 20209
15 20118
16 20225
17 20195
18 20195
19 20184
20 20224

About Zhenzhen Lu

Zhenzhen Lu is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Artificial Intelligence and Virology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), HIV/AIDS Research and Interventions (3 papers), Fractional Differential Equations Solutions (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), HIV Research and Treatment (3 papers), Statistical Distribution Estimation and Applications (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Statistics and Probability (419 citations), Modeling and Simulation (69 citations), Statistics, Probability and Uncertainty (71 citations), Finance (99 citations) and Management Science and Operations Research (90 citations). Zhenzhen Lu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Muhammad Qasim Shahid, Yuhong Chen, LU Yong-gen, Wen Liu, Xiangdong Liu, Lin Bai, Shasha Qi, Na Zhang, Zhihang Peng and Hui Zhang. Their work appears in journals such as PLoS ONE, Technometrics, Journal of Integrative Agriculture, Mathematical Biosciences & Engineering and Tropical Medicine and Infectious Disease.

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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