Hua Fu

8.6k citations
194 papers · 6.0k · 2 hit papers · h-index 33

Impact in

Papers in

Hua Fu

189 papers receiving 5.8k citations

Hua Fu's Hit Papers

Mental health problems and social media exposure during COVID-19 outbreak 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Hua Fu
Comparison fields: 5 of 213
  • Applied Psychology 579
  • Clinical Psychology 2.0k
  • Health 591
  • General Health Professions 1.0k
  • Modeling and Simulation 184
Replace Sai Yin Ho with:
Sai Yin Ho Hong Kong
Junling Gao China
Giuseppe La Torre Italy
David Koh Singapore
Ann John United Kingdom
Thomas Abel Germany
Douglas A. Luke United States
Paul Yip Hong Kong
Lin Yang Canada
Mathew V. Kiang United States
Hua Fu relative to Sai Yin Ho Hong Kong Sai Yin Ho's profile →
Citations per field
00.5×1.5×2.5×
Sai Yin Ho · 1×
Citations per year

Countries citing papers authored by Hua Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mental health problems and social media exposure during COVID-19 outbreak
Hit paper breakdown →
20201908
2
Mental Health Problems and Social Media Exposure During COVID-19 Outbreak
Hit paper breakdown →
2020369
3
Implementation and quantitative evaluation of chronic disease self-management programme in Shanghai, China: randomized controlled trial.
2003207
4 2013199
5 2020130
6 2018120
7 2005118
8 202191
9 200984
10 201378
11 201878
12 201574
13 200970
14 202166
15 199657
16 200556
17 201452
18 201951
19 200750
20 200946

About Hua Fu

Hua Fu is a scholar working on General Health Professions, Physiology, Health, Toxicology and Mutagenesis, Mechanics of Materials and Health, having authored 194 papers that have together received 6.0k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (20 papers), Health disparities and outcomes (17 papers), Air Quality and Health Impacts (13 papers), Employment and Welfare Studies (12 papers), Occupational and environmental lung diseases (11 papers), School Health and Nursing Education (10 papers), Workplace Health and Well-being (9 papers) and Energetic Materials and Combustion (8 papers). The work is most often cited by research in Applied Psychology (579 citations), Clinical Psychology (2.0k citations), Health (591 citations), General Health Professions (1.0k citations) and Modeling and Simulation (184 citations). Hua Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junling Gao, Pinpin Zheng, Yingnan Jia, Junming Dai, Yimeng Mao, Hao Chen, Suhong Chen, Yi Wang, Otto Wong and Yi Wang. Their work appears in journals such as BMC Public Health, PLoS ONE, Tobacco Control, Chemico-Biological Interactions and International Health.

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.

Explore authors with similar magnitude of impact