Fan‐Chen Tseng

2.3k citations
72 papers · 1.7k · h-index 25

Impact in

Papers in

Fan‐Chen Tseng

71 papers receiving 1.6k citations

Peers

Fan‐Chen Tseng
Comparison fields: 5 of 121
  • Molecular Medicine 176
  • Information Systems and Management 206
  • Infectious Diseases 463
  • Applied Microbiology and Biotechnology 41
  • Endocrinology 88
Replace Susan Taylor with:
Susan Taylor New Zealand
Marcelo Nascimento Burattini Brazil
Hien Thi Nguyen Vietnam
Tinja Lääveri Finland
Benedikt Ley Australia
Diane Halstead United States
Abhijit Chaudhury India
Jiyoung Lee South Korea
Francine Ntoumi Republic of the Congo
Malik Sallam Jordan
Fan‐Chen Tseng relative to Susan Taylor New Zealand Susan Taylor's profile →
Citations per field
00.5×7.4×
Susan Taylor · 1×
Citations per year

Countries citing papers authored by Fan‐Chen Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Fan‐Chen Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 201295
3 201281
4 201780
5 200272
6 201570
7 200865
8 201053
9 201951
10 200749
11 202144
12 201843
13 201239
14 202038
15 201837
16 201236
17 201933
18 199933
19 200632
20 200930

About Fan‐Chen Tseng

Fan‐Chen Tseng is a scholar working on Infectious Diseases, Sociology and Political Science, Epidemiology, Information Systems and Management and Information Systems, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (17 papers), Technology Adoption and User Behaviour (14 papers), Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (7 papers), Impact of Technology on Adolescents (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Data Management and Algorithms (6 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Molecular Medicine (176 citations), Information Systems and Management (206 citations), Infectious Diseases (463 citations), Applied Microbiology and Biotechnology (41 citations) and Endocrinology (88 citations). Fan‐Chen Tseng has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ching‐I Teng, T.C.E. Cheng, Han-Chung Huang, Chia‐Yu Chi, Shu‐Chen Kuo, Ih‐Jen Su, Thi Tuan Linh Pham, Jen‐Ren Wang, Chang-Phone Fung and Yi-Tsung Lin. Their work appears in journals such as PLoS ONE, Journal of Microbiology Immunology and Infection, BMC Infectious Diseases, Online Information Review and Internet Research.

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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