Szu‐Chieh Chen

1.4k citations
57 papers · 1.0k indexed · h-index 18
Topics
Air Quality and Health Impacts (12 papers)COVID-19 epidemiological studies (9 papers)Viral Infections and Vectors (6 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Szu‐Chieh Chen

56 papers receiving 993 citations

Peers

Szu‐Chieh Chen
Comparison fields: 5 of 138
  • Health, Toxicology and Mutagenesis 442
  • Public Health, Environmental and Occupational Health 277
  • Infectious Diseases 194
  • Modeling and Simulation 158
  • Pollution 131
Replace Chia‐Pin Chio with:
Chia‐Pin Chio Taiwan
Radhika Dhingra United States
Mahesh Jayaweera Sri Lanka
Piero Lovreglio Italy
Pei-Chih Wu Taiwan
Otto Wong United States
Brian Pavilonis United States
Pei‐Shih Chen Taiwan
Enrique Cifuentes Mexico
Dolores Catelan Italy
Szu‐Chieh Chen relative to Chia‐Pin Chio Taiwan Chia‐Pin Chio's profile →
Citations per field
00.5×1.5×
Chia‐Pin Chio · 1×
Citations per year

Countries citing papers authored by Szu‐Chieh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Szu‐Chieh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szu‐Chieh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Szu‐Chieh Chen. A scholar is included among the top collaborators of Szu‐Chieh Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Szu‐Chieh Chen. Szu‐Chieh Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 4
4 2
5 1
6 6
7 4
8 25
9 1
10 16
11 18
12 11
13 57
14 6
15 11
16 128
17 17
18 43
19 19
20 58

About Szu‐Chieh Chen

Szu‐Chieh Chen is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Pollution, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (12 papers), COVID-19 epidemiological studies (9 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Modeling and Simulation (158 citations), Health, Toxicology and Mutagenesis (442 citations) and Pollution (131 citations). Szu‐Chieh Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chung‐Min Liao, Chia‐Pin Chio, Chung‐Min Liao, Yi‐Hsien Cheng, Wei‐Yu Chen, Shu‐Han You, Huang‐Min Liang, Tzu-Ling Lin, Nan‐Hung Hsieh and Min‐Pei Ling. Their work appears in journals such as The Science of The Total Environment, Diabetes Care and Journal of Hazardous Materials.

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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