Cong Chen

33 papers receiving 488 citations

Peers

Cong Chen
Comparison fields: 5 of 87
  • Computational Mathematics 31
  • Statistics and Probability 250
  • Modeling and Simulation 49
  • Cancer Research 85
  • Management Science and Operations Research 68
Replace Ruitao Lin with:
Ruitao Lin United States
Cong Chen United States
Satrajit Roychoudhury United States
DA Berry United States
L. Esserman United States
NM Hylton United States
Kevin J. Carroll United Kingdom
Zheng Yuan United States
Carl‐Fredrik Burman Sweden
Zoran Antonijevic United States
Cong Chen relative to Ruitao Lin United States Ruitao Lin's profile →
Citations per field
00.5×5.4×
Ruitao Lin · 1×
Citations per year

Countries citing papers authored by Cong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202187
2 201184
3 201644
4 200936
5 200934
6 200328
7 200924
8 201619
9 201418
10 202117
11 201917
12 201016
13 201112
14 201510
15 20199
16 20228
17 20166
18 20095
19 20224
20 20234

About Cong Chen

Cong Chen is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Computational Mathematics and Computational Mechanics, having authored 35 papers that have together received 511 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (21 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Optimal Experimental Design Methods (8 papers), Tensor decomposition and applications (7 papers), Statistical Methods and Inference (6 papers), Biosimilars and Bioanalytical Methods (5 papers), Cancer Genomics and Diagnostics (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Mathematics (31 citations), Statistics and Probability (250 citations), Modeling and Simulation (49 citations), Cancer Research (85 citations) and Management Science and Operations Research (68 citations). Cong Chen has collaborated with scholars based in United States, Hong Kong and Netherlands. Frequent co-authors include Robert A. Beckman, Jason Clark, Alexander Karaivanov, Shih En Lu, Hitoshi Shigeoka, Linda Sun, Ngai Wong, Kim Batselier, Steven Snapinn and Hongwei Wang. Their work appears in journals such as Statistics in Biopharmaceutical Research, Journal of Biopharmaceutical Statistics, Contemporary Clinical Trials, Statistics in Medicine and Advances in experimental medicine and biology.

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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