Weihua Deng

Shanghai University, Lanzhou University

Papers

2

Total Citations

291

H-Index

2

About

Weihua Deng is a leading figure in the mathematics of fractional calculus and anomalous diffusion processes. His foundational work on the "Short memory principle and a predictor–corrector approach for fractional differential equations" (2006, 268 citations) provides a critical numerical framework for solving these complex equations, enabling more efficient and accurate simulations across physics and engineering. Deng’s research extends deeply into the theory of stochastic processes, particularly Lévy walks. His 2020 study on "Lévy walk dynamics in an external harmonic potential" (23 citations) explores how these spatiotemporally coupled random walks—which model phenomena from superdiffusive heat conduction to the motion of molecular motors and even animal foraging—behave under confinement. This work is pivotal for understanding transport in disordered systems and biological environments. By bridging rigorous numerical methods with cutting-edge models of non-Brownian motion, Deng has made substantial contributions to the mathematical tools used to describe complex, real-world diffusion. His research continues to influence fields ranging from statistical physics to biophysics, offering both theoretical insight and practical computational solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
291
Total Citations
146
Avg Citations/Paper
🏆 Most Cited Paper
Short memory principle and a predictor–corrector approach for fractional differential equations
268 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shanghai University, Lanzhou University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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