Prof. Qingna Li | Mathematics | Research Excellence Award

Prof. Qingna Li | Mathematics | Research Excellence Award

Professor | Beijing Institute of Technology | China

Prof. Qingna Li is widely recognized for her influential contributions to Mathematics, with her research consistently advancing the global understanding of optimization theory and computational methods within Mathematics. Her work integrates rigorous analytical frameworks in Mathematics with practical algorithmic design, resulting in high impact publications that strengthen interdisciplinary applications of Mathematics. She has produced an extensive body of research across leading international platforms, demonstrating strong visibility in Mathematics and sustained engagement with collaborative projects that rely heavily on mathematical modeling. Her expertise in Mathematics has supported innovative developments in optimization algorithms, numerical strategies, and data driven analytical tools that continue to influence scholars working across diverse areas connected to Mathematics. She has collaborated with multiple research groups and professional networks, further extending the societal relevance of Mathematics through contributions that support technology, engineering, and computational research communities. Her commitment to Mathematics is also reflected in her leadership within research teams and in mentoring emerging scholars who pursue advanced studies grounded in Mathematics. Her academic record highlights a strong publication profile and measurable research influence that underscores the growing global relevance of Mathematics in contemporary scientific inquiry. Google Scholar Profile Of Citations 492, h index 10, i10 index 11.

Citation Metrics (Google Scholar)

500
400
300
200
100
0

492

Citations

10

h-index

11

i10-index

                                ■ Citations (Blue)              ■ h-index (Red)            ■ i10-index (Green)

Featured Publications


A class of derivative-free methods for large-scale nonlinear monotone equations

IMA Journal of Numerical Analysis, 2011
Cited by 193


A semismooth Newton method for support vector classification and regression

Computational Optimization and Applications, 2019
Cited by 33


An efficient augmented Lagrangian method for support vector machine

Optimization Methods and Software, 2020
Cited by 22

Assoc. Prof. Dr. Keli Zheng | Mathematics | Research Excellence Award

Assoc. Prof. Dr. Keli Zheng | Mathematics | Research Excellence Award

Associate Professor | Northeast Forestry University | China

Assoc. Prof. Dr. Keli Zheng is a distinguished scholar whose work reflects a deep commitment to advancing mathematics through rigorous research, sustained publication activity and meaningful collaboration. With core expertise grounded in mathematics and its structural theories, the contributions of Assoc. Prof. Dr. Keli Zheng span mathematics related to Lie theory, modular Lie superalgebras, pseudo Riemannian superalgebras and mathematical physics, supported by more than thirty publications and extensive involvement in mathematics driven projects across national, provincial and institutional platforms. The research output demonstrates how mathematics can shape theoretical understanding while enabling new applications, with several studies published in respected mathematics journals and enriched by collaborations with researchers from multiple universities. Assoc. Prof. Dr. Keli Zheng has also integrated mathematics into teaching innovation by developing course materials and co authoring textbooks that strengthen mathematics education and support learners in abstract algebra and related fields. The societal impact of this work emerges from the sustained advancement of mathematics knowledge, the cultivation of young researchers and the strengthening of academic networks centered on mathematics inquiry. Through continued dedication to mathematics research, mathematics scholarship and mathematics dissemination, Assoc. Prof. Dr. Keli Zheng contributes significantly to the global development of mathematics. Scopus profile of 17 Citations, 12 Documents, 2 h index.

Citation Metrics (Scopus)

20
15
10
5
0

17
Citations

12
Documents

2
h-index

                                    ■ Citations (Blue)          ■ Documents (Red)            ■ h-index (Green)

Featured Publications