Chun‐I Chen

56 papers receiving 1.2k citations

Peers

Chun‐I Chen
Comparison fields: 5 of 119
  • Management Science and Operations Research 572
  • Fluid Flow and Transfer Processes 91
  • Modeling and Simulation 35
  • Geriatrics and Gerontology 21
  • Computational Mechanics 95
Replace Huilin Xu with:
Huilin Xu China
Grzegorz Redlarski Poland
Fahad Javed Pakistan
Sujin Kim South Korea
Rongling Li Denmark
Justin L. Wang United States
Peter Ylén Netherlands
Guilan Kong China
PATRICK L. SCHNEIDER Germany
William R. Myers United States
Chun‐I Chen relative to Huilin Xu China Huilin Xu's profile →
Citations per field
00.5×2×4×5.3×
Huilin Xu · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006242
2 2006152
3 201398
4 201077
5 200469
6 201255
7 201945
8 201943
9 201535
10 200430
11 200329
12 201529
13 200326
14 201524
15 201421
16 200419
17 201619
18 201919
19 201717
20 202117

About Chun‐I Chen

Chun‐I Chen is a scholar working on Management Science and Operations Research, Fluid Flow and Transfer Processes, Oncology, Computational Mechanics and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Grey System Theory Applications (13 papers), Rheology and Fluid Dynamics Studies (6 papers), Cancer survivorship and care (6 papers), Lubricants and Their Additives (4 papers), Bone health and osteoporosis research (2 papers), Health and Well-being Studies (2 papers), Diabetes Management and Education (2 papers) and Ship Hydrodynamics and Maneuverability (2 papers). The work is most often cited by research in Management Science and Operations Research (572 citations), Fluid Flow and Transfer Processes (91 citations), Modeling and Simulation (35 citations), Geriatrics and Gerontology (21 citations) and Computational Mechanics (95 citations). Chun‐I Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chiung‐Yu Huang, Hui‐Ling Lai, Chu‐Yun Lu, Stephen M. Hsu, C.-K. Chen, Yong Yang, Yue-Tzu Yang, Yung‐Chuan Lu, Hung‐Yu Lin and Chao‐Ming Hung. Their work appears in journals such as Applied Mathematics and Computation, Communications in Nonlinear Science and Numerical Simulation, Cancer Nursing, Heat and Mass Transfer and Annals of Oncology.

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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