JHJilong He
Jilong He
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Jilong He has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
Zhoushun Zheng
School of Mathematics and Statistics, Central South University, Hunan, People’s Republic of China
3 shared publicationsZhijian Ye
2 shared publications- Abd'GAfar Tiamiyu
Federal University of Technology, Minna
1 shared publication Changfa Du
School of Mathematics and Statistics Changsha University of Science and Technology Changsha Hunan Province China
1 shared publication- Cong Cao
School of Mathematics, Changsha University, Changsha, China
1 shared publication Haolan Yuan
School of Mathematics and Statistics, Central South University, Hunan, People’s Republic of China
1 shared publication
Latest Publications
- 25 September 2026
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 193
Least squares extreme learning machine collocation method for solving elliptic interface problems with sharp corners
- 25 September 2026
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 193
Least squares extreme learning machine collocation method for solving elliptic interface problems with sharp corners
- 15 July 2026
- Published by Springer Nature in The European Physical Journal Plus
- Vol. 141 (7)
Application of a hybrid GQPSO–machine-learning optimization algorithm in predicting radionuclide diffusion in soils
- 15 July 2026
- Published by Springer Nature in The European Physical Journal Plus
- Vol. 141 (7)
Application of a hybrid GQPSO–machine-learning optimization algorithm in predicting radionuclide diffusion in soils
- 28 April 2026
- Published by Springer Nature in Engineering with Computers
- Vol. 42 (3) , 82
A time-fractional phase-field equation for shape transformation
- 28 April 2026
- Published by Springer Nature in Engineering with Computers
- Vol. 42 (3) , 82
A time-fractional phase-field equation for shape transformation
- 10 October 2025
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 180
Employ a multigrid algorithm to solve the shape-transformation phase-field model
- 10 October 2025
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 180
Employ a multigrid algorithm to solve the shape-transformation phase-field model
- 2 July 2025
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 179
Solving a class of shape-transforming phase-field models using the lattice Boltzmann method
- 2 July 2025
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 179
Solving a class of shape-transforming phase-field models using the lattice Boltzmann method
- 7 September 2024
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 653
A new high-precision numerical method for solving the HIV infection model of CD4(+) cells
- 7 September 2024
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 653
A new high-precision numerical method for solving the HIV infection model of CD4(+) cells
- 30 August 2024
- Published by Springer Nature in International Journal of Machine Learning and Cybernetics
- Vol. 16 (2) , 1355-1369
A new neural network method for solving Bratu type equations with rational polynomials
- 30 August 2024
- Published by Springer Nature in International Journal of Machine Learning and Cybernetics
- Vol. 16 (2) , 1355-1369
A new neural network method for solving Bratu type equations with rational polynomials
- 6 March 2024
- Published by Springer Nature in The European Physical Journal Plus
- Vol. 139 (3) , 1-17
A Physics-Informed Neural Network model combined Pell–Lucas polynomials for solving the Lane–Emden type equation
- 6 March 2024
- Published by Springer Nature in The European Physical Journal Plus
- Vol. 139 (3) , 1-17
A Physics-Informed Neural Network model combined Pell–Lucas polynomials for solving the Lane–Emden type equation