Фэй Гу

435 citations
29 papers · 310 · h-index 8

Impact in

Papers in

Фэй Гу

26 papers receiving 295 citations

Peers

Фэй Гу
Comparison fields: 5 of 95
  • Pharmacy 25
  • Applied Psychology 22
  • Pediatrics, Perinatology and Child Health 57
  • Statistics and Probability 27
  • Experimental and Cognitive Psychology 30
Replace Vassilis Vasdekis with:
Vassilis Vasdekis Greece
Eduardo Estrada Spain
Fengqing Zhang United States
Bruce H. Sielaff United States
Annette Böckenhoff Germany
Jean‐Christophe Goulet‐Pelletier Canada
Zoi Toumpakari United Kingdom
Amy Harris United States
Isabela G. Marques United States
Lisa Wong Hong Kong
Фэй Гу relative to Vassilis Vasdekis Greece Vassilis Vasdekis's profile →
Citations per field
00.5×3.6×
Vassilis Vasdekis · 1×
Citations per year

Countries citing papers authored by Фэй Гу

Since Specialization
Citations

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

Fields of papers citing papers by Фэй Гу

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200882
2 199835
3 201433
4 201228
5 201424
6 200720
7 201818
8 202113
9 20197
10 20176
11 20146
12 20235
13 20164
14 20223
15 20113
16 20243
17 20123
18 20223
19
Effects of microwave acupuncture on the immunological function of cancer patients.
19873
20 20232

About Фэй Гу

Фэй Гу is a scholar working on Statistics and Probability, Management Science and Operations Research, Food Science, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 29 papers that have together received 310 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Psychometric Methodologies and Testing (6 papers), Sensory Analysis and Statistical Methods (6 papers), Multi-Criteria Decision Making (4 papers), Advanced Statistical Modeling Techniques (4 papers), Statistical Methods and Applications (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Pharmacy (25 citations), Applied Psychology (22 citations), Pediatrics, Perinatology and Child Health (57 citations), Statistics and Probability (27 citations) and Experimental and Cognitive Psychology (30 citations). Фэй Гу has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include J. Wang, Neal M. Kingston, Kristopher J. Preacher, Todd D. Little, Emilio Ferrer, W K Yeh, Rangasudhagar Radhakrishnan, Bärbel Knaüper, Elena Ivanova and R.Nagaraja Rao. Their work appears in journals such as Multivariate Behavioral Research, British Journal of Mathematical and Statistical Psychology, Behavior Research Methods, Journal of Educational and Behavioral Statistics and Medicine & Science in Sports & Exercise.

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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