Lu Cui

1.4k citations
40 papers · 958 indexed · h-index 15

Lu Cui

32 papers receiving 907 citations

Peers

Lu Cui
Comparison fields: 5 of 115
  • Statistics and Probability 538
  • Management Science and Operations Research 314
  • Statistics, Probability and Uncertainty 110
  • Economics and Econometrics 170
  • Immunology 101
Replace Sue‐Jane Wang with:
Sue‐Jane Wang United States
Haitao Pan United States
Elodie L. Plan Sweden
Michael K. Smith United States
Xiaodong Luo United States
Matt Hutmacher United States
Sebastian Ueckert Sweden
Michael O’Kelly United States
Bohdana Ratitch United States
H. Amy Xia United States
Lu Cui relative to Sue‐Jane Wang United States Sue‐Jane Wang's profile →
Citations per field
00.5×1.5×
Sue‐Jane Wang · 1×
Citations per year

Countries citing papers authored by Lu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20240
6 202432
7 20230
8 20229
9 20211
10 20185
11 20178
12 201641
13 20157
14 200722
15 200145
16 1999371
17 199721
18 199665
19 19929
20 199083

About Lu Cui

Lu Cui is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Immunology and Computational Theory and Mathematics, having authored 40 papers that have together received 958 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (11 papers), Biosimilars and Bioanalytical Methods (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Advanced Causal Inference Techniques (5 papers), Meta-analysis and systematic reviews (4 papers), Computational Drug Discovery Methods (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Statistics and Probability (538 citations), Management Science and Operations Research (314 citations), Statistics, Probability and Uncertainty (110 citations), Economics and Econometrics (170 citations) and Immunology (101 citations). Lu Cui has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sue‐Jane Wang, H. M. James Hung, Hung Hung, Yi Tsong, Sue Jane Wang, Peter G. Como, Roger Kurlan, William J. Hall, David Oakes and Jesaia Benhorin. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Medicine, Contemporary Clinical Trials, Biometrics and Construction and Building Materials.

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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