Prof. Yue Bao Wang | Mathematics | Best Paper Award 

Academician/Research Scholar at Soochow University,China.

Professor Wang Yuebao 🎓, a retired professor and doctoral supervisor from the School of Mathematical Sciences at Soochow University, is a distinguished figure in probability and statistics. Former head of the statistics department and vice chairman of the Jiangsu Probability and Statistics Society, he focused his research on heavy-tailed distribution theory 📈 and its application in financial insurance 💹. With over 60 SCIE-indexed papers as first or corresponding author and top ESI citations in 2015, his scholarly impact is remarkable. He successfully led three National Natural Science Foundation projects and organized international academic seminars 🌐. As a dedicated mentor, he has trained nine PhDs and numerous masters, many of whom now hold prestigious global positions 👩‍🎓👨‍🎓. Professor Wang’s legacy combines rigorous research, impactful teaching, and meaningful contributions to statistical science.

Professional Profile

Scopus Profile

📚 Education

Professor Wang Yuebao 🎓 built a strong foundation in mathematical sciences at renowned institutions in China, earning advanced degrees that shaped his career in probability and statistics. His commitment to lifelong learning and academic rigor allowed him to master complex areas like heavy-tailed distribution theory 📊 and stochastic processes. Through continuous study and collaboration with leading scholars, he developed a keen understanding of both theoretical and applied mathematics. His educational background laid the groundwork for mentoring young researchers 👩‍🏫 and leading significant research projects. By staying engaged with emerging trends during his academic journey, Professor Wang ensured that his education translated into meaningful contributions to statistical research and teaching, creating a lasting legacy in China’s mathematical community while nurturing global perspectives. His academic roots continue to inspire future statisticians and actuaries worldwide. 🌏

💼 Professional Experience

Professor Wang Yuebao’s professional career spans decades of impactful leadership and service in the field of probability and statistics 📈. As a professor and doctoral supervisor at Soochow University, he guided numerous students and researchers with dedication and expertise 👨‍🏫. He served as the head of the statistics department, shaping academic programs and fostering an environment of research excellence. His roles as vice chairman of the Jiangsu Probability and Statistics Society and director at the China Probability and Statistics Society demonstrate his commitment to advancing the discipline nationally 📊. Beyond administrative leadership, he initiated and organized key international seminars 🌐, building global research networks and encouraging academic exchange. His professional journey is marked by significant funded projects, scholarly publications, and contributions to statistical education, reinforcing his reputation as an influential and respected academic leader. 🏅

🔬 Research Interest

Professor Wang Yuebao’s primary research interest centers on heavy-tailed distribution theory and its broad applications in financial insurance and risk theory 💹. He has explored the behavior of random walks, renewal theory, and dependent increments, enriching classical probability frameworks. His influential work, including the paper “Basic renewal theorems for random walks with widely dependent increments,” reflects his commitment to solving real-world challenges through advanced probability models 🔍. By extending renewal theorems to accommodate widely dependent structures, his research bridges theory and practice, offering valuable insights for industries dealing with complex risk scenarios. His curiosity and drive to deepen understanding in stochastic processes 📊 have positioned him as a key contributor in both academic circles and practical fields like actuarial science and financial risk management. Professor Wang’s research continues to inspire new studies and applications globally. 🌍

🏆 Awards and Honors

Throughout his career, Professor Wang Yuebao has earned widespread respect for his scholarly achievements and contributions to the statistical community 🎖️. His research has been recognized through significant ESI citation rankings, topping his school in 2015, a testament to the global impact of his work 📑. By securing and completing three general projects of the prestigious National Natural Science Foundation of China, he demonstrated his capacity to lead high-caliber research initiatives. His leadership roles as vice chairman and director in major probability and statistics societies 🏅 highlight peer recognition of his expertise and service. Beyond institutional accolades, his legacy of mentoring students who became professors, actuaries, and scholars at top global institutions speaks volumes about his lasting influence 🌟. These honors affirm his standing as a dedicated researcher, mentor, and respected thought leader in probability theory.

🧩 Research Skills

Professor Wang Yuebao possesses exceptional research skills that have positioned him as a thought leader in probability and statistical theory 📈. His expertise includes advanced probabilistic modeling, heavy-tailed distributions, and renewal theory for dependent structures 🔬. He excels at integrating theoretical insights with real-world applications, especially in financial insurance and risk analysis 💹. His proven ability to design and execute funded research projects, organize international seminars 🌐, and collaborate across academic networks showcases strong project management and scholarly communication skills. As an effective mentor 👨‍🏫, he has transferred complex methodologies to students and peers, nurturing critical thinking and problem-solving abilities. His skill set combines analytical rigor, deep theoretical understanding, and practical adaptability, making his research both robust and relevant. Professor Wang’s methodological precision and collaborative spirit continue to inspire researchers worldwide. 🌏

Publications Top Note 📝

Title: Generalization of Lyapunov center theorem for Hamiltonian systems via normal forms theory
Authors: A. Golebiewska, S. Rybicki
Year: 2025
Source: Journal of Differential Equations
Citation: Journal Differential Equations 421, 241–263

Title: Bifurcation of closed orbits from equilibria of Newtonian systems with Coriolis forces
Authors: A. Golebiewska, E. Pérez-Chavela, S. Rybicki, A. J. Ureña
Year: 2022
Source: Journal of Differential Equations
Citation: Journal Differential Equations 338, 441–473

Title: Periodic solutions to symmetric Newtonian systems in neighborhoods of orbits of equilibria
Authors: A. Golebiewska, M. Kowalczyk, S. Rybicki, P. Stefaniak
Year: 2022
Source: Electronic Research Archive
Citation: Electronic Research Archive 30 (5), 1691–1707

Title: Connected sets of solutions of symmetric elliptic systems
Authors: A. Golebiewska, S. Rybicki, P. Stefaniak
Year: 2021
Source: Nonlinear Analysis: Theory, Methods & Applications
Citation: Nonlinear Analysis 202, Paper No. 112124

Title: Symmetric Lyapunov center theorem for orbit with nontrivial isotropy group
Authors: M. Kowalczyk, E. Perez-Chavela, S. Rybicki
Year: 2020
Source: Advances in Differential Equations
Citation: Advances in Differential Equations 25 (1–2), 1–30

Title: Global symmetry-breaking bifurcations of critical orbits of invariant functionals
Authors: A. Golebiewska, N. Hirano, S. Rybicki
Year: 2019
Source: Discrete and Continuous Dynamical Systems Series S
Citation: DCDS Series S 12 (7), 2005–2017

Title: Rabinowitz alternative for non-cooperative elliptic systems on geodesic balls
Authors: S. Rybicki, N. Shioji, P. Stefaniak
Year: 2018
Source: Advanced Nonlinear Studies
Citation: Advanced Nonlinear Studies 18 (4), 845–862

Title: Symmetric Liapunov center theorem for minimal orbit
Authors: E. Perez-Chavela, S. Rybicki, D. Strzelecki
Year: 2018
Source: Journal of Differential Equations
Citation: Journal Differential Equations 265 (3), 752–778

Title: Multiple existence of symmetry breaking solutions to a nonlinear Schrödinger equation with a magnetic potential
Authors: N. Hirano, S. Rybicki
Year: 2017
Source: Journal of Nonlinear and Convex Analysis
Citation: Journal Nonlinear and Convex Analysis 18 (8), 1563–1569

Title: Conley index in Hilbert spaces versus the generalized topological degree
Authors: Z. Blaszczyk, A. Golebiewska, S. Rybicki
Year: 2017
Source: Advances in Differential Equations
Citation: Advances in Differential Equations 22 (11–12), 963–982

✅ Conclusion

Professor Wang Yuebao’s distinguished career exemplifies excellence in research, mentorship, and academic leadership 🎓. His groundbreaking work on heavy-tailed distribution theory 📊 and its practical impact on financial insurance demonstrates his commitment to advancing mathematical sciences. With over 60 influential SCIE papers, top ESI citations, and successful leadership of major national projects, his scholarly legacy is secure 🏅. Beyond publications, his dedication to training nine PhDs and numerous masters 👩‍🎓 underscores his lasting impact on future generations. His active roles in national societies and international seminars 🌐 highlight his collaborative approach and service to the global research community. Though retired, his influence remains strong through his students and the continued relevance of his theories. Professor Wang’s story reflects a lifetime devoted to expanding knowledge and empowering others in statistical science. ✅