FU Jun-yi

406 citations
17 papers · 323 · h-index 7

Impact in

Papers in

FU Jun-yi

16 papers receiving 305 citations

Peers

FU Jun-yi
Comparison fields: 5 of 46
  • Numerical Analysis 120
  • Geometry and Topology 114
  • Computational Theory and Mathematics 205
  • Applied Mathematics 62
  • Civil and Structural Engineering 92
Replace Rieko Kubota with:
Rieko Kubota Japan
Ramin Kazemi Iran
François Combes France
Marleen Stieler Germany
Yun-Hwan Kim South Korea
Yuxiao Kang China
Vincent Guigues Brazil
Pavel Grozman Sweden
A.S. Kydes United States
Edméa Cássia Baptista Brazil
FU Jun-yi relative to Rieko Kubota Japan Rieko Kubota's profile →
Citations per field
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Rieko Kubota · 1×
Citations per year

Countries citing papers authored by FU Jun-yi

Since Specialization
Citations

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

Fields of papers citing papers by FU Jun-yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by FU Jun-yi. 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 FU Jun-yi. The network helps show where FU Jun-yi may publish in the future.

Co-authors

The 16 scholars most cited alongside FU Jun-yi, 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 FU Jun-yi Line = papers co-authored together FU Jun-yi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201591
2 200083
3 200256
4 200331
5 200519
6 202318
7 20126
8 20056
9 20213
10
Stampacchia Vector Equilibrium Problems and Vector Complementarity Problems
20072
11 20202
12
Strong Vector Equilibrium Problems on Noncompact Sets
20122
13
Systems of generalized vector quasi-equilibrium problems with pseudo-monotone mappings
20111
14
On Systems of Quasivariational Inclusion Problems
20111
15 20171
16 20181
17 20120

About FU Jun-yi

FU Jun-yi is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Geometry and Topology, Automotive Engineering and Aerospace Engineering, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (11 papers), Advanced Optimization Algorithms Research (8 papers), Fixed Point Theorems Analysis (4 papers), Aerospace Engineering and Control Systems (2 papers), Geotechnical Engineering and Soil Stabilization (1 paper), Electric and Hybrid Vehicle Technologies (1 paper), Electric Vehicles and Infrastructure (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Numerical Analysis (120 citations), Geometry and Topology (114 citations), Computational Theory and Mathematics (205 citations), Applied Mathematics (62 citations) and Civil and Structural Engineering (92 citations). FU Jun-yi has collaborated with scholars based in China. Frequent co-authors include Chao Xiang, Chen Yang, Lei Gao, Nan Xu, Guohui Hu, Qiaosheng Wu, Shibo Zeng, Weihua Mao, Malaysian Mathematical and Jingya Wang. Their work appears in journals such as Journal of Global Optimization, Mathematical Methods of Operations Research, Advances in Mathematics, Journal of Mathematical Analysis and Applications and Resources Policy.

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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