Chenglin Ye

29 papers receiving 1.4k citations

Chenglin Ye's Hit Papers

A tutorial on sensitivity analyses in clinical trials: the what, why, when and how 2013 · 623 citations
6230+4+8Years since publication200400600

Peers

Chenglin Ye
Comparison fields: 5 of 153
  • Statistics, Probability and Uncertainty 113
  • General Health Professions 203
  • Family Practice 14
  • Endocrinology, Diabetes and Metabolism 125
  • Applied Psychology 36
Replace Monica Bawor with:
Monica Bawor Canada
Felix Achana United Kingdom
Suzanne C Freeman United Kingdom
R.P. Riemsma United Kingdom
Clifford Mann United Kingdom
Oliver Rivero‐Arias United Kingdom
Victoria Borg Debono Canada
Geneviève Grégoire Canada
Monica W. Nortvedt Norway
Sarah Daisy Kosa Canada
Chenglin Ye relative to Monica Bawor Canada Monica Bawor's profile →
Citations per field
00.5×3.5×
Monica Bawor · 1×
Citations per year

Countries citing papers authored by Chenglin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chenglin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenglin Ye, 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 Chenglin Ye Line = papers co-authored together Chenglin Ye 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
A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
Hit paper breakdown →
2013623
2 2013122
3 2008122
4 201066
5 201361
6 201461
7 201651
8 201447
9 201241
10 201533
11 201628
12 201623
13 201219
14 201217
15 201016
16 201115
17 201713
18 201512
19 201311
20 201710

About Chenglin Ye

Chenglin Ye is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics, Probability and Uncertainty, Molecular Biology, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Meta-analysis and systematic reviews (4 papers), Advanced Causal Inference Techniques (2 papers), Family and Disability Support Research (2 papers), Diabetes Treatment and Management (2 papers), Infant Development and Preterm Care (2 papers), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (113 citations), General Health Professions (203 citations), Family Practice (14 citations), Endocrinology, Diabetes and Metabolism (125 citations) and Applied Psychology (36 citations). Chenglin Ye has collaborated with scholars based in Canada, United Kingdom and Cameroon. Frequent co-authors include Lehana Thabane, Lawrence Mbuagbaw, Shiyuan Zhang, Victoria Borg Debono, Sarah Daisy Kosa, Brittany B. Dennis, Lora Giangregorio, Maura Marcucci, Juneyoung Lee and Zainab Samaan. Their work appears in journals such as Contemporary Clinical Trials, Canadian Journal of Diabetes, BMC Medical Research Methodology, BMJ Open and Diabetes Care.

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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