Ding‐Geng Chen

3.8k citations
199 papers · 2.5k indexed · h-index 27

Ding‐Geng Chen

178 papers receiving 2.4k citations

Peers

Ding‐Geng Chen
Comparison fields: 5 of 187
  • Statistics and Probability 366
  • Statistics, Probability and Uncertainty 163
  • Nature and Landscape Conservation 235
  • Global and Planetary Change 328
  • Applied Psychology 59
Replace Helmut Küchenhoff with:
Helmut Küchenhoff Germany
Daniel J. Stekhoven Switzerland
Ulrich Halekoh Denmark
Gianluca Baio United Kingdom
P. A. Lachenbruch United States
D. Stasinopoulos United Kingdom
James Roger United Kingdom
Guido Knapp Germany
Søren Højsgaard Denmark
Robert A. Rigby United Kingdom
Ding‐Geng Chen relative to Helmut Küchenhoff Germany Helmut Küchenhoff's profile →
Citations per field
00.5×1.5×1.9×
Helmut Küchenhoff · 1×
Citations per year

Countries citing papers authored by Ding‐Geng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Geng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding‐Geng Chen. 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 Ding‐Geng Chen. The network helps show where Ding‐Geng Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20250
5 20240
6 20241
7 20244
8 20242
9 20241
10 20241
11 202316
12 202110
13
Probabilistic Discrete Event Systems Modeling of Nonlinear Transitions between Electronic and Combustible Cigarette Smoking with the 2014 National Youth Tobacco Survey Data.
20183
14 201821
15 20179
16
Intention to use condom, cusp modeling, and evaluation of an HIV prevention intervention trial.
201314
17 20138
18
Regulation of Retinal Gene Expression by Thyroid Hormone and it Receptors During Mouse Development
20111
19 201028
20 20097

About Ding‐Geng Chen

Ding‐Geng Chen is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Health Professions, having authored 199 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (21 papers), Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (20 papers), Marine and fisheries research (14 papers), Fish Ecology and Management Studies (13 papers), Statistical Distribution Estimation and Applications (12 papers), Advanced Causal Inference Techniques (11 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). The work is most often cited by research in Statistics and Probability (366 citations), Statistics, Probability and Uncertainty (163 citations) and Nature and Landscape Conservation (235 citations). Ding‐Geng Chen has collaborated with scholars based in United States, South Africa and Ethiopia. Frequent co-authors include Karl E. Peace, Yuhlong Lio, D. M. Ware, Feng Lin, Jun Sun, Mark Mapstone, Xinguang Chen, James R. Irvine, Kimberley W. Eccleston and Lixin Song. Their work appears in journals such as Journal of the Society for Social Work and Research, Canadian Journal of Fisheries and Aquatic Sciences, Computational Statistics & Data Analysis, Frontiers in Public Health and Ecological Modelling.

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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