Fan‐Chen Tseng
- Sociology and Political Science top 5%
- Information Systems and Management top 2%
- Marketing top 5%
- Cardiology and Cardiovascular Medicine
- Molecular Medicine top 5%
- Co-authors
- Ching‐I TengT.C.E. ChengHan-Chung HuangThi Tuan Linh PhamKai LiTzu‐Ling HuangChang-Phone FungYi-Tsung Lin
- Topics
- Digital Marketing and Social Media (17 papers)Technology Adoption and User Behaviour (14 papers)Data Mining Algorithms and Applications (7 papers)
- Partner nations
- TaiwanHong KongUnited States
In The Last Decade
Fan‐Chen Tseng
35 papers receiving 805 citations
Peers
Comparison fields: 5 of 88
- Sociology and Political Science 393
- Information Systems and Management 203
- Marketing 109
- Cardiology and Cardiovascular Medicine 101
- Molecular Medicine 99
Countries citing papers authored by Fan‐Chen Tseng
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
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-authorship network of co-authors of Fan‐Chen Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Fan‐Chen Tseng. A scholar is included among the top collaborators of Fan‐Chen Tseng 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 Fan‐Chen Tseng. Fan‐Chen Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | 43 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 79 | |
| 7 | 17 | |
| 8 | 69 | |
| 9 | 19 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 107 | |
| 15 | 7 | |
| 16 | 33 | |
| 17 | Efficiently Mining Maximal Frequent Itemsets by Item Grouping and 3-Dimensional Indexing | 1 |
| 18 | THE FREQUENT PATTERN LIST: ANOTHER FRAMEWORK FOR MINING FREQUENT PATTERNS | 5 |
| 19 | 15 | |
| 20 | 1 |
About Fan‐Chen Tseng
Fan‐Chen Tseng is a scholar working on Information Systems and Management, Communication and Signal Processing, having authored 36 papers that have together received 842 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (17 papers), Technology Adoption and User Behaviour (14 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Information Systems and Management (203 citations), Molecular Medicine (99 citations) and Applied Microbiology and Biotechnology (38 citations). Fan‐Chen Tseng has collaborated with scholars based in Taiwan, Hong Kong and United States. Frequent co-authors include Ching‐I Teng, T.C.E. Cheng, Han-Chung Huang, Thi Tuan Linh Pham, Kai Li, Tzu‐Ling Huang, Chang-Phone Fung, Yi-Tsung Lin, Shu‐Chen Kuo and Tao Chen. Their work appears in journals such as Clinical Infectious Diseases, Expert Systems with Applications and British Journal of Haematology.
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.