Min-Lin Fang
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health
- Genetics
- Pediatrics, Perinatology and Child Health
- Applied Psychology top 10%
- Co-authors
- Yoshimi FukuokaYoo Jung OhJingwen ZhangAmy Rosenwohl‐MackHeather M. EdwardsJada G. HamiltonDavid J. OwenKaren Schumacher
- Topics
- Obesity, Physical Activity, Diet (3 papers)Birth, Development, and Health (3 papers)Health disparities and outcomes (3 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Min-Lin Fang
13 papers receiving 423 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- General Health Professions 123
- Public Health, Environmental and Occupational Health 118
- Genetics 87
- Pediatrics, Perinatology and Child Health 69
- Applied Psychology 55
Countries citing papers authored by Min-Lin Fang
This map shows the geographic impact of Min-Lin Fang'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 Min-Lin Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Lin Fang more than expected).
Fields of papers citing papers by Min-Lin Fang
This network shows the impact of papers produced by Min-Lin Fang. 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 Min-Lin Fang. The network helps show where Min-Lin Fang may publish in the future.
Co-authorship network of co-authors of Min-Lin Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Min-Lin Fang. A scholar is included among the top collaborators of Min-Lin Fang 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 Min-Lin Fang. Min-Lin Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight lossbreakdown → | 137 |
| 4 | 8 | |
| 5 | 67 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 43 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 37 | |
| 12 | 11 | |
| 13 | 90 | |
| 14 | Information-seeking behavior in complementary and alternative medicine (CAM): an online survey of faculty at a health sciences campus. | 30 |
About Min-Lin Fang
Min-Lin Fang is a scholar working on Neuropsychology and Physiological Psychology, General Dentistry and Applied Psychology, having authored 14 papers that have together received 446 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Birth, Development, and Health (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Health Informatics (31 citations), Applied Psychology (55 citations) and Neuropsychology and Physiological Psychology (10 citations). Min-Lin Fang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Yoshimi Fukuoka, Yoo Jung Oh, Jingwen Zhang, Amy Rosenwohl‐Mack, Heather M. Edwards, Jada G. Hamilton, David J. Owen, Karen Schumacher, Erica S. Breslau and Mei‐Chen Ou‐Yang. Their work appears in journals such as PLoS ONE, Journal of General Internal Medicine and Preventive Medicine.
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.