Jun-Feng Yin

826 total citations
24 papers, 636 citations indexed

About

Jun-Feng Yin is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jun-Feng Yin has authored 24 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 15 papers in Numerical Analysis and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jun-Feng Yin's work include Matrix Theory and Algorithms (22 papers), Advanced Optimization Algorithms Research (11 papers) and Iterative Methods for Nonlinear Equations (9 papers). Jun-Feng Yin is often cited by papers focused on Matrix Theory and Algorithms (22 papers), Advanced Optimization Algorithms Research (11 papers) and Iterative Methods for Nonlinear Equations (9 papers). Jun-Feng Yin collaborates with scholars based in China, Japan and United Kingdom. Jun-Feng Yin's co-authors include Ning Zheng, Zhong‐Zhi Bai, Linzhang Lu, Gene H. Golub, Ken Hayami, Rui Li, Rui Li, Xiaoxia Guo, Iain Duff and Zengqi Wang and has published in prestigious journals such as Food Chemistry, Applied Mathematics and Computation and SIAM Journal on Scientific Computing.

In The Last Decade

Jun-Feng Yin

22 papers receiving 598 citations

Peers

Jun-Feng Yin
Comparison fields: 5 of 42
  • Computational Theory and Mathematics 569
  • Numerical Analysis 401
  • Atomic and Molecular Physics, and Optics 240
  • Computational Mechanics 189
  • Algebra and Number Theory 41
Replace Naimin Zhang with:
Naimin Zhang China
Fatemeh Panjeh Ali Beik Iran
Gunhild Lindskog Sweden
Emilio Defez Spain
Cristina Tablino–Possio Italy
Petr Tichý Czechia
Shu-Qian Shen China
Man-Chung Yeung United States
Fabio Di Benedetto Italy
Julio Moro Spain
Naimin Zhang China View profile →
Citations per field, relative to Jun-Feng Yin
Jun-Feng Yin · 1×
Citations per year, relative to Jun-Feng Yin
Jun-Feng Yin · 1×

Countries citing papers authored by Jun-Feng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Feng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Feng Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Feng Yin. A scholar is included among the top collaborators of Jun-Feng Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun-Feng Yin. Jun-Feng Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 8
5 16
6 6
7 31
8 28
9 36
10 2
11 127
12 6
13 0
14 34
15 9
16 1
17 9
18 13
19 264
20
ON TWO ITERATION METHODS FOR THE QUADRATIC MATRIX EQUATION
17

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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