Yangfeng Su

60 papers receiving 973 citations

Peers

Yangfeng Su
Comparison fields: 5 of 62
  • Numerical Analysis 296
  • Statistical and Nonlinear Physics 451
  • Statistics, Probability and Uncertainty 128
  • Computational Mathematics 10
  • Computational Theory and Mathematics 266
Replace K.V. Fernando with:
K.V. Fernando United Kingdom
Jens Saak Germany
Krešimir Veselić Germany
R.W. Freund United States
Ulrich Hetmaniuk United States
Sebastian Schöps Germany
Tatjana Stykel Germany
Ramachandra Achar Canada
Joost Rommes Netherlands
Luc Knockaert Belgium
Yangfeng Su relative to K.V. Fernando United Kingdom K.V. Fernando's profile →
Citations per field
00.5×6.5×
K.V. Fernando · 1×
Citations per year

Countries citing papers authored by Yangfeng Su

Since Specialization
Citations

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

Fields of papers citing papers by Yangfeng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005202
2 2005185
3 201171
4 200558
5 201641
6 200841
7 201740
8 200836
9 200721
10 200721
11 201921
12 200518
13 200117
14 201317
15 201216
16 199816
17 201415
18 200715
19 201814
20 200914

About Yangfeng Su

Yangfeng Su is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computational Mathematics and Hardware and Architecture, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (25 papers), Model Reduction and Neural Networks (25 papers), Low-power high-performance VLSI design (14 papers), Numerical methods for differential equations (12 papers), Electromagnetic Simulation and Numerical Methods (10 papers), VLSI and Analog Circuit Testing (9 papers), Probabilistic and Robust Engineering Design (9 papers) and Advanced Optimization Algorithms Research (9 papers). The work is most often cited by research in Numerical Analysis (296 citations), Statistical and Nonlinear Physics (451 citations), Statistics, Probability and Uncertainty (128 citations), Computational Mathematics (10 citations) and Computational Theory and Mathematics (266 citations). Yangfeng Su has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Zhaojun Bai, Xuan Zeng, Dian Zhou, Amit Bhaya, Fan Yang, Jun Tao, Ding Lu, C. Chiang, Jian Wang and Xin Li. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, Applied Mathematics and Computation and Journal of Computational Mathematics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026