Chun‐I Chen

2.5k citations
62 papers · 1.4k · h-index 19

Impact in

Papers in

Chun‐I Chen

58 papers receiving 1.3k citations

Peers

Chun‐I Chen
Comparison fields: 5 of 145
  • Management Science and Operations Research 557
  • Fluid Flow and Transfer Processes 54
  • Geriatrics and Gerontology 26
  • Modeling and Simulation 35
  • Endocrinology, Diabetes and Metabolism 108
Replace Davide Manca with:
Davide Manca Italy
Weihong Wang China
Fahad Javed United States
Chenxi Song China
Wanli Xie China
Liming Xiang Singapore
Huilin Xu China
Li‐Shan Huang United States
Vijaya B. Kolachalama United States
Mohammad Hassan Behzadi Iran
Chun‐I Chen relative to Davide Manca Italy Davide Manca's profile →
Citations per field
00.5×10×13.6×
Davide Manca · 1×
Citations per year

Countries citing papers authored by Chun‐I Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐I Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006233
2 2006141
3 201394
4 201076
5 200469
6 200160
7 201254
8 200549
9 201944
10 201938
11 201436
12 201534
13 201529
14 200429
15 200328
16 200327
17 201423
18 201522
19 201618
20 201918

About Chun‐I Chen

Chun‐I Chen is a scholar working on Management Science and Operations Research, Oncology, Computational Mechanics, Molecular Biology and Biomedical Engineering, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Grey System Theory Applications (12 papers), Fluid Dynamics and Turbulent Flows (8 papers), Nanofluid Flow and Heat Transfer (6 papers), Cancer survivorship and care (6 papers), Receptor Mechanisms and Signaling (3 papers), Fluid Dynamics and Thin Films (3 papers), Diverse Interdisciplinary Research Innovations (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Management Science and Operations Research (557 citations), Fluid Flow and Transfer Processes (54 citations), Geriatrics and Gerontology (26 citations), Modeling and Simulation (35 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Chun‐I Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chiung‐Yu Huang, Martin Beinborn, Hui‐Ling Lai, C.-K. Chen, Yong Yang, Chu‐Yun Lu, Stephen M. Hsu, Jianping Bin, Yulin Liao and Yung‐Chuan Lu. Their work appears in journals such as PLoS ONE, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics and Computation, Annals of Oncology and Cancer Nursing.

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.

Explore authors with similar magnitude of impact