Chien-Te Fan

18 papers receiving 440 citations

Peers

Chien-Te Fan
Comparison fields: 5 of 107
  • General Energy 5
  • Health Informatics 6
  • Nephrology 25
  • Endocrinology, Diabetes and Metabolism 57
  • Pollution 33
Replace Jui-Chu Lin with:
Jui-Chu Lin Taiwan
Yuan Zhao China
Junbeom Park South Korea
Dongyang Li China
Zhiguang Zhao China
Hua Meng China
Hua Liu China
Xiaohan Fan China
Yandiswa Y. Yako South Africa
D. C. Rao United States
Chien-Te Fan relative to Jui-Chu Lin Taiwan Jui-Chu Lin's profile →
Citations per field
00.5×4.7×
Jui-Chu Lin · 1×
Citations per year

Countries citing papers authored by Chien-Te Fan

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Te Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Te Fan. 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 Chien-Te Fan. The network helps show where Chien-Te Fan may publish in the future.

Co-authors

The 17 scholars most cited alongside Chien-Te Fan, 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 Chien-Te Fan Line = papers co-authored together Chien-Te Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008155
2 201561
3 201755
4 201544
5 201829
6 201419
7 201917
8 201614
9 201912
10 20229
11 20179
12 20207
13 20106
14 20185
15 20242
16 20242
17 20242
18
Legal issues of renewable energy in the Asia region : recent developments in a post-Fukushima and post-Kyoto Protocol era
20141
19
Establishing a Population Based Taiwan Genetic Database that Blessed with Public Trust
20071
20 20240

About Chien-Te Fan

Chien-Te Fan is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Economics and Econometrics, Global and Planetary Change and Pollution, having authored 22 papers that have together received 450 indexed citations. Recurring topics across this work include Ethics in Clinical Research (8 papers), Biomedical Ethics and Regulation (7 papers), Climate Change Policy and Economics (6 papers), Energy and Environment Impacts (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Social Acceptance of Renewable Energy (2 papers), Patient Dignity and Privacy (2 papers) and Climate Change and Sustainable Development (2 papers). The work is most often cited by research in General Energy (5 citations), Health Informatics (6 citations), Nephrology (25 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Pollution (33 citations). Chien-Te Fan has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Jui-Chu Lin, Yaosheng Chen, Wesley Wei‐Wen Hsiao, Ji‐Jung Kai, Mei‐Lan Ko, Li-Kuei Chen, Katie M. Saulnier, Yen‐Chen Chen, Mark A. Rothstein and Gil Siegal. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Computational and Structural Biotechnology Journal, The Journal of Law Medicine & Ethics, Pharmacogenomics and IT Professional.

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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