Leaderboards/Nuclear Engineering Thermal-Hydraulics

Nuclear Engineering Thermal-Hydraulics

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Gege Wen
Stanford University
2
Hamidreza Eivazi
Clausthal University of Technology
3
Stefania Fresca
University of Washington
4
Wenqian Chen
École Polytechnique Fédérale de Lausanne
5
Zaharaddeen Karami Lawal
Universiti Brunei Darussalam
6
Zheyuan Hu
National University of Singapore
7
Ji Hwan Lim
Korea Atomic Energy Research Institute
8
Houde Song
Shanghai Jiao Tong University
9
Masaki Morimoto
Keio University
10
Shamsulhaq Basir
University of Pittsburgh

Rising Stars Papers

1
Tackling the curse of dimensionality with physics-informed neural networks
Neural Networks|2024
152 cit.
2
Physics-informed deep-learning applications to experimental fluid mechanics
Measurement Science and Technology|2024
60 cit.
3
Hutchinson Trace Estimation for high-dimensional and high-order Physics-Informed Neural Networks
Computer Methods in Applied Mechanics and Engineering|2024
33 cit.
4
Prediction of PM<sub>2.5</sub> concentration based on a CNN-LSTM neural network algorithm
PeerJ|2024
30 cit.
5
Two-stage attention network for fault diagnosis and retrieval of fault logs
Expert Systems with Applications|2024
17 cit.
6
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
Journal of Computational Physics|2025
15 cit.
7
Physics-informed machine learning of the correlation functions in bulk fluids
Physics of Fluids|2024
11 cit.
8
Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data
IEEE Access|2024
11 cit.
9
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker–Planck Equations
SIAM Journal on Scientific Computing|2025
11 cit.
10
Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting
Applied Artificial Intelligence|2024
10 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Koroush Shirvan
Massachusetts Institute of Technology
2
Zhaoming Meng
Harbin Engineering University
3
Haozhi Bian
Harbin Engineering University
4
Deep Ray
University of Maryland, College Park
5
Houman Babazadeh
Ton Duc Thang University
6
Hayati Yassin
Universiti Brunei Darussalam
7
Azam Che Idris
University of Botswana
8
Xuhui Meng
Huazhong University of Science and Technology
9
Bao‐Wen Yang
Yantaishan Hospital
10
Tenglong Cong
Shanghai Jiao Tong University

Emerging Leaders Papers

1
Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis
Big Data and Cognitive Computing|2022
222 cit.
2
A Cloud Enabled Crop Recommendation Platform for Machine Learning-Driven Precision Farming
Sensors|2022
136 cit.
3
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions
Applied Mathematics and Mechanics|2023
106 cit.
4
Transverse mixing characteristics of single-phase flow in the helical cruciform fuel assembly
Annals of Nuclear Energy|2022
59 cit.
5
Single-phase flow in helical cruciform fuel assembly with conjugate heat transfer
Progress in Nuclear Energy|2022
58 cit.
6
Learning functional priors and posteriors from data and physics
Journal of Computational Physics|2022
55 cit.
7
An Evaluation of ASEAN Renewable Energy Path to Carbon Neutrality
Sustainability|2023
43 cit.
8
Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems
Energies|2023
40 cit.
9
Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture
Frontiers in Plant Science|2023
38 cit.
10
Generative AI and future education: a review, theoretical validation, and authors’ perspective on challenges and solutions
PeerJ Computer Science|2024
37 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
George Em Karniadakis
John Brown University
2
G.H. Su
Xi'an Jiaotong University
3
Suizheng Qiu
Xi'an Jiaotong University
4
Mamoru Ishii
Purdue University West Lafayette
5
Junjie Yan
South China University of Technology
6
Wenxi Tian
Xi'an Jiaotong University
7
Khalid Aziz
Central Cotton Research Institute
8
John R. Thome
École Polytechnique Fédérale de Lausanne
9
Dalin Zhang
Xi'an Jiaotong University
10
Fulvio Scarano
Delft University of Technology

Current Senior Leaders Papers

1
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Journal of Computational Physics|2018
16.9k cit.
2
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing|2002
4.7k cit.
3
Drag coefficient and relative velocity in bubbly, droplet or particulate flows
AIChE Journal|1979
2k cit.
4
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Science|2020
2k cit.
5
Modeling uncertainty in flow simulations via generalized polynomial chaos
Journal of Computational Physics|2003
1.4k cit.
6
High-order splitting methods for the incompressible Navier-Stokes equations
Journal of Computational Physics|1991
1.4k cit.
7
Hidden physics models: Machine learning of nonlinear partial differential equations
Journal of Computational Physics|2017
1.4k cit.
8
A flow pattern map for gas—liquid flow in horizontal pipes
International Journal of Multiphase Flow|1974
1.3k cit.
9
Universal outlier detection for PIV data
Experiments in Fluids|2005
1.2k cit.
10
Physics-informed neural networks for high-speed flows
Computer Methods in Applied Mechanics and Engineering|2019
1.2k cit.

Indexing Nuclear Engineering Thermal-Hydraulics Reagents

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