Ming Fu

932 citations
39 papers · 695 · h-index 15

Impact in

Papers in

Ming Fu

38 papers receiving 685 citations

Peers

Ming Fu
Comparison fields: 5 of 84
  • Polymers and Plastics 301
  • Occupational Therapy 72
  • Physiology 360
  • Safety, Risk, Reliability and Quality 66
  • Health, Toxicology and Mutagenesis 91
Replace Emiel den Hartog with:
Emiel den Hartog United Kingdom
Tiago Sotto Mayor Portugal
Sumit Mandal United States
Ying Ke China
Theis Madsen Denmark
Fanglong Zhu China
Zhanxiao Kang Hong Kong
P. J. E. Sullivan United Kingdom
Masayuki Oguro Japan
Tomasz Wiśniewski Poland
Ming Fu relative to Emiel den Hartog United Kingdom Emiel den Hartog's profile →
Citations per field
00.5×9.4×
Emiel den Hartog · 1×
Citations per year

Countries citing papers authored by Ming Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Fu. 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 Ming Fu. The network helps show where Ming Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201664
3 201553
4 201453
5 201450
6 201341
7 201339
8 201435
9 201430
10 201430
11 201718
12 201916
13 201416
14 201414
15 201414
16 201513
17 202212
18 201512
19 202412
20 201312

About Ming Fu

Ming Fu is a scholar working on Physiology, Polymers and Plastics, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Building and Construction, having authored 39 papers that have together received 695 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (25 papers), Textile materials and evaluations (14 papers), Climate Change and Health Impacts (8 papers), Infrared Thermography in Medicine (7 papers), Building Energy and Comfort Optimization (6 papers), Occupational Health and Performance (4 papers), Fire dynamics and safety research (4 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Polymers and Plastics (301 citations), Occupational Therapy (72 citations), Physiology (360 citations), Safety, Risk, Reliability and Quality (66 citations) and Health, Toxicology and Mutagenesis (91 citations). Ming Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenguo Weng, Hongyong Yuan, Weiwang Chen, Mengqi Yuan, Jie Yang, Quanyi Liu, Xiong Yang, Maoyong Zhi, Yinlong Zhao and Rong Fan. Their work appears in journals such as International Journal of Clothing Science and Technology, Journal of Thermal Biology, Textile Research Journal, Building and Environment and International Journal of Thermal Sciences.

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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