Leaderboards/Blasting Impact and Analysis

Blasting Impact and Analysis

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Qiang Li
Shenyang University of Technology
2
Ziqi Li
Hong Kong Polytechnic University
3
Guanda Zhang
Shandong University
4
Zhang Ye
China University of Mining and Technology
5
Yangyang Chen
Huazhong University of Science and Technology
6
Siyu Wang
East China Jiaotong University
7
Zhijun Zhao
Nanjing Normal University
8
Punit Paurush
Banaras Hindu University
9
Nafiu Olanrewaju Ogunsola
University of Johannesburg
10
Yaozhong Cui
Guangxi University

Rising Stars Papers

1
Accelerating diabetic wound healing by ROS-scavenging lipid nanoparticle–mRNA formulation
Proceedings of the National Academy of Sciences|2024
54 cit.
2
Collapse mechanism and treatments of a deep tunnel in the weathered granite fault zone
Tunnelling and Underground Space Technology|2024
40 cit.
3
Iron-Catalyzed Regioselective Reductive Fluoroalkylalkenylation of Unactivated Alkenes
ACS Catalysis|2024
27 cit.
4
Probabilistic reliability assessment method for max ground settlement prediction of subway tunnel under uncertain construction information
Computers and Geotechnics|2024
15 cit.
5
Prediction of Mode-I Fracture Toughness of the ISRM-Suggested Semi-Circular Bend Rock Specimen Using ANN and Optimized ANN Models
Rock Mechanics and Rock Engineering|2024
13 cit.
6
Blasting-Induced Ground Vibration Modeling in Tunnel Excavation: A Comparative Study of ANN, Hybrid ANNs, and Empirical Models
Rock Mechanics and Rock Engineering|2024
13 cit.
7
Real-Time Model Updating for Prediction and Assessment of Under-Construction Shield Tunnel Induced Ground Settlement in Complex Strata
Journal of Computing in Civil Engineering|2024
11 cit.
8
Impact of residential density on heavy metal mobilization in urban soils: Human activity patterns and eco-health risks in the Beijing-Tianjin-Hebei region
Ecotoxicology and Environmental Safety|2025
11 cit.
9
Spatial Electron Density Modulation by Engineering Ordered Built‐in Electric Fields for Efficient and Stable Water Splitting
Advanced Functional Materials|2025
8 cit.
10
Fluorinated Monodisperse Microporous Microspheres: Formation Mechanism, Assembly, and Molecular Separation
Chinese Journal of Polymer Science|2024
5 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mahdi Hasanipanah
Duy Tan University
2
Xiaotong Xie
Land Consolidation and Rehabilitation Center
3
Hien Minh
China University of Geosciences
4
Ali Zeynali Aaq Qaleh
Qom Islamic Azad University
5
Liping Li
Shandong University
6
Yanhuan Zhang
Shandong University
7
Chenglu Gao
Shandong University
8
Cong Liu
Shandong University
9
Yongcai Yuan
Shandong University
10
Honglu Fei
Liaoning Technical University

Emerging Leaders Papers

1
Study on the minimum safe thickness of water inrush prevention in karst tunnel under the coupling effect of blasting power and water pressure
Tunnelling and Underground Space Technology|2024
62 cit.
2
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models
Earth Science Informatics|2022
48 cit.
3
Model test and numerical simulation research on the mechanical response law of lager span and small interval tunnels constructed by CD method
Tunnelling and Underground Space Technology|2022
39 cit.
4
Developing Two Hybrid Algorithms for Predicting the Elastic Modulus of Intact Rocks
Sustainability|2023
24 cit.
5
Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model
Applied Sciences|2022
21 cit.
6
The damage response of RC columns with considering different longitudinal and shear reinforcement under demolition blasting
Journal of Building Engineering|2022
15 cit.
7
Enhancing shear strength predictions of rocks using a hierarchical ensemble model
Scientific Reports|2024
13 cit.
8
Predicting Rubberized Concrete Compressive Strength Using Machine Learning: A Feature Importance and Partial Dependence Analysis
Journal of Science and Transport Technology|2023
10 cit.
9
Prediction of peak particle velocity using hybrid random forest approach
Scientific Reports|2024
10 cit.
10
Research on the Interactive Coupling Relationship between Land Space Development and Eco-Environment from the Perspective of Symbiosis: A Practical Analysis of Henan, China
Land|2022
7 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Masoud Monjezi
Tarbiat Modares University
2
Edy Tonnizam Mohamad
University of Technology Malaysia
3
Yue Wang
Tianjin Chengjian University
4
Amir Bahrami
Tabriz University of Medical Sciences
5
Xi Liu
China University of Mining and Technology
6
Shui‐Long Shen
Shantou University
7
Lei Ma
Hefei University of Technology
8
Manoj Khandelwal
Ton Duc Thang University
9
Chuanbo Zhou
China University of Geosciences
10
Kunlong Yin
China University of Geosciences

Current Senior Leaders Papers

1
Long-term settlement behaviour of metro tunnels in the soft deposits of Shanghai
Tunnelling and Underground Space Technology|2013
654 cit.
2
Prediction of blast-induced ground vibration using artificial neural network
International Journal of Rock Mechanics and Mining Sciences|2009
451 cit.
3
Improvement of Problematic Soils with Biopolymer—An Environmentally Friendly Soil Stabilizer
Journal of Materials in Civil Engineering|2016
413 cit.
4
Strength development in clay–fly ash geopolymer
Construction and Building Materials|2012
393 cit.
5
Numerical evaluation of land subsidence induced by groundwater pumping in Shanghai
Canadian Geotechnical Journal|2011
369 cit.
6
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
Engineering With Computers|2015
360 cit.
7
Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach
Journal of Sound and Vibration|2005
289 cit.
8
Generalized Approach for Prediction of Jet Grout Column Diameter
Journal of Geotechnical and Geoenvironmental Engineering|2013
280 cit.
9
Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data
Journal of Rock Mechanics and Geotechnical Engineering|2020
271 cit.
10
Prediction of blast-induced ground vibration using artificial neural networks
Tunnelling and Underground Space Technology|2010
263 cit.

Indexing Blasting Impact and Analysis Reagents

Citation data for reagents in this field is currently compiling.