Zhihui Fu

522 citations
25 papers · 387 · h-index 11

Impact in

Papers in

Zhihui Fu

23 papers receiving 385 citations

Peers

Zhihui Fu
Comparison fields: 5 of 87
  • Immunology 150
  • Health Informatics 5
  • Rehabilitation 20
  • Otorhinolaryngology 11
  • Biological Psychiatry 6
Replace Massimo Gorla with:
Massimo Gorla Italy
Yuko Ohnuma Japan
Farshid Fathi Iran
Long Yang China
Sukhvir Kaur India
Linda J. Kay United Kingdom
Doumet Georges Helou United States
David Díaz-Jiménez Chile
Elham Jamshidi Iran
Yingfeng Wei China
Zhihui Fu relative to Massimo Gorla Italy Massimo Gorla's profile →
Citations per field
00.5×8.3×
Massimo Gorla · 1×
Citations per year

Countries citing papers authored by Zhihui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhihui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201765
3 201842
4 202041
5 202121
6 201820
7 202217
8 202215
9 201914
10 202014
11 202310
12 20209
13 20229
14 20169
15 20207
16 20207
17 20216
18
The effects of the transtheoretical model combined with nutritional intervention in hemodialysis patients.
20213
19 20241
20 20141

About Zhihui Fu

Zhihui Fu is a scholar working on Surgery, Epidemiology, Molecular Biology, Computer Vision and Pattern Recognition and Immunology, having authored 25 papers that have together received 387 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Visual Attention and Saliency Detection (3 papers), Allergic Rhinitis and Sensitization (2 papers), Free Radicals and Antioxidants (2 papers), Nasal Surgery and Airway Studies (2 papers), Trauma Management and Diagnosis (2 papers), Advanced Vision and Imaging (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Immunology (150 citations), Health Informatics (5 citations), Rehabilitation (20 citations), Otorhinolaryngology (11 citations) and Biological Psychiatry (6 citations). Zhihui Fu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Dongsheng Yu, Bao Sun, Anzheng Nie, Jamie Rossjohn, Richard Berry, G. M. Watson, Chunsheng Zhu, Zheng Zhou, Lingling Zhao and James R. Carlyle. Their work appears in journals such as Nutrition & Metabolism, Cell Death and Disease, Nature Communications, Frontiers in Bioengineering and Biotechnology and New Journal of Chemistry.

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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