Ding‐Geng Chen

4.0k citations
264 papers · 2.8k · h-index 27

Impact in

Papers in

Ding‐Geng Chen

235 papers receiving 2.7k citations

Peers

Ding‐Geng Chen
Comparison fields: 5 of 188
  • Statistics and Probability 349
  • Statistics, Probability and Uncertainty 173
  • Nature and Landscape Conservation 239
  • Global and Planetary Change 334
  • Orthopedics and Sports Medicine 88
Replace Helmut Küchenhoff with:
Helmut Küchenhoff Germany
Edward John Bedrick United States
Robert A. Rigby United Kingdom
Jean-Charles Sanchez Switzerland
Dionysios STASINOPOULOS United Kingdom
P. A. Lachenbruch United States
Ulrich Halekoh Denmark
Daniel Johannes Stekhoven Switzerland
John Hinde Ireland
Júlio M. Singer Brazil
Ding‐Geng Chen relative to Helmut Küchenhoff Germany Helmut Küchenhoff's profile →
Citations per field
00.5×2×3×3.5×
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-authors

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

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 2020100
3 201494
4 201684
5 199980
6 201377
7 201074
8 201070
9 200763
10 200857
11 200454
12 201750
13 199847
14 201244
15 200041
16 200140
17 201339
18 201037
19 200735
20 201835

About Ding‐Geng Chen

Ding‐Geng Chen is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Nature and Landscape Conservation, Management Science and Operations Research and Economics and Econometrics, having authored 264 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (33 papers), Statistical Methods and Bayesian Inference (30 papers), Statistical Methods and Inference (28 papers), Statistical Distribution Estimation and Applications (14 papers), Marine and fisheries research (14 papers), Advanced Statistical Methods and Models (13 papers), Fish Ecology and Management Studies (13 papers) and Health Systems, Economic Evaluations, Quality of Life (13 papers). The work is most often cited by research in Statistics and Probability (349 citations), Statistics, Probability and Uncertainty (173 citations), Nature and Landscape Conservation (239 citations), Global and Planetary Change (334 citations) and Orthopedics and Sports Medicine (88 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, Jun Sun, D. M. Ware, Xinguang Chen, Feng Vankee Lin, Mark E. Mapstone, James R. Irvine, Yinglin Xia and Ting Guan. 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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