Yongge Tian

3.3k citations
190 papers · 2.5k indexed · h-index 26

Yongge Tian

184 papers receiving 2.3k citations

Peers

Yongge Tian
Comparison fields: 5 of 74
  • Numerical Analysis 1.0k
  • Computational Theory and Mathematics 2.2k
  • Applied Mathematics 1.1k
  • Computational Mathematics 45
  • Algebra and Number Theory 328
Replace M. A. Kaashoek with:
M. A. Kaashoek Netherlands
William F. Trench United States
Mihai Putinar United States
Jerzy K. Baksalary Poland
Albrecht Böttcher Germany
Moody T. Chu United States
E. W. Cheney United States
L. Elsner Germany
Gerhard Schmeißer Germany
Beatrice Meini Italy
Yongge Tian relative to M. A. Kaashoek Netherlands M. A. Kaashoek's profile →
Citations per field
00.5×4.3×
M. A. Kaashoek · 1×
Citations per year

Countries citing papers authored by Yongge Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yongge Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20212
3 20215
4 20189
5 20187
6 201510
7 201419
8 201131
9 20105
10 200925
11
Ranks and independence of solutions of the matrix equation .
20064
12
Uniqueness and independence of submatrices in solutions of matrix equations.
20033
13 200329
14
Generalized Inverses of Multiple Matrix Products
20021
15
The Maximal and Minimal Ranks of a Quadratic Matrix Expression with Applications
20022
16 20028
17 200296
18
SOME INEQUALITIES FOR SUMS OF MATRICES
20011
19
How Characterize Equalities for the Moore-Penrose Inverse of a Matrix
200120
20 200157

About Yongge Tian

Yongge Tian is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 190 papers that have together received 2.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (166 papers), Advanced Optimization Algorithms Research (83 papers), Statistical and numerical algorithms (37 papers), graph theory and CDMA systems (30 papers), Algebraic and Geometric Analysis (18 papers), Electromagnetic Scattering and Analysis (16 papers), Advanced Statistical Methods and Models (16 papers) and Advanced Topics in Algebra (15 papers). The work is most often cited by research in Numerical Analysis (1.0k citations), Computational Theory and Mathematics (2.2k citations) and Applied Mathematics (1.1k citations). Yongge Tian has collaborated with scholars based in China, Canada and Finland. Frequent co-authors include Yonghui Liu, Yoshio Takane, George P. H. Styan, Bo Jiang, Simo Puntanen, Hongxing Wang, Douglas P. Wiens, Xuan Zhang, Jürgen Groß and Christina Haines. Their work appears in journals such as Linear Algebra and its Applications, Electronic Journal of Linear Algebra, Journal of Multivariate Analysis, Statistical Papers and Applied Mathematics and Computation.

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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