Yan Fu

1.9k citations
132 papers · 1.3k · h-index 19

Impact in

Papers in

Yan Fu

115 papers receiving 1.2k citations

Peers

Yan Fu
Comparison fields: 5 of 105
  • Statistical and Nonlinear Physics 448
  • Artificial Intelligence 455
  • Information Systems 262
  • Computer Networks and Communications 205
  • Management of Technology and Innovation 61
Replace Yifeng Zeng with:
Yifeng Zeng China
Hongwei Wang China
Ye Chen China
A.C.M. Fong New Zealand
Martin Atzmueller Germany
Shou-De Lin Taiwan
Christos Makris Greece
Jing Xiao China
Qinbao Song China
Daniel Aloise Canada
Yan Fu relative to Yifeng Zeng China Yifeng Zeng's profile →
Citations per field
00.5×6.8×
Yifeng Zeng · 1×
Citations per year

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020129
2 201092
3 201079
4 200942
5 201840
6 201937
7 201533
8 201632
9 202032
10 202029
11 201429
12 201024
13 201923
14 201221
15 201620
16 201220
17 201919
18 201519
19 201819
20 201918

About Yan Fu

Yan Fu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 132 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (32 papers), Opinion Dynamics and Social Influence (21 papers), Recommender Systems and Techniques (14 papers), Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (11 papers), Color perception and design (8 papers), Consumer Market Behavior and Pricing (8 papers) and Product Development and Customization (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (448 citations), Artificial Intelligence (455 citations), Information Systems (262 citations), Computer Networks and Communications (205 citations) and Management of Technology and Innovation (61 citations). Yan Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Duanbing Chen, Mingsheng Shang, Mei Xie, Mingxian Wang, Zhen Liu, Yueping Wang, Hui Gao, Noshir Contractor, Wei Chen and Zhen Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS ONE, IEEE Access, Design Science and Complexity.

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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