Leaderboards/Geoscience and Mining Technology

Geoscience and Mining Technology

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Shahab Hosseini
Tarbiat Modares University
2
Chenghao Zhong
Jilin University
3
Hongwei Yan
Ricoh (Japan)
4
Maryam Parsajoo
Muscat College
5
Yunjiang Sun
China University of Mining and Technology
6
Laisheng Huang
China University of Mining and Technology
7
Dunwen Liu
Central South University
8
Zhaodan Cao
Qufu Normal University
9
Xiaorui Shao
Luoyang Institute of Science and Technology
10
Zhongyuan Gu
Changchun Institute of Technology

Rising Stars Papers

1
Damage precursors of sulfate erosion concrete based on acoustic emission multifractal characteristics and b-value
Construction and Building Materials|2024
72 cit.
2
Research on anisotropic characteristics and energy damage evolution mechanism of bedding coal under uniaxial compression
Energy|2024
32 cit.
3
Study on the extension mechanism of hydraulic fractures in bedding coal
Theoretical and Applied Fracture Mechanics|2024
31 cit.
4
Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Neural Computing and Applications|2024
25 cit.
5
Evolving support vector regression based on improved grey wolf optimization for predicting settlement during construction of high-filled roadbed
Transportation Geotechnics|2024
19 cit.
6
Study on weathering corrosion characteristics of red sandstone of ancient buildings under the perspective of non-destructive testing
Journal of Building Engineering|2024
18 cit.
7
Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Artificial Intelligence Review|2024
18 cit.
8
Fuzzy Cognitive Map for Evaluating Critical Factors Causing Rockbursts in Underground Construction: A Fundamental Study
Rock Mechanics and Rock Engineering|2024
17 cit.
9
Predicting axial-bearing capacity of fully grouted rock bolting systems by applying an ensemble system
Soft Computing|2024
15 cit.
10
DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis
Knowledge-Based Systems|2024
14 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mahdi Hasanipanah
Duy Tan University
2
Hoang Nguyen
Duy Tan University
3
Xiaojiao Cheng
Xi'an University of Science and Technology
4
Wei Lu
Anhui University of Science and Technology
5
Dongqiao Liu
China University of Mining and Technology
6
Zhenhua Yang
China Institute Of Communications
7
Zebiao Jiang
Guizhou University
8
Lingling Qi
State Administration of Work Safety
9
Quanle Zou
Chongqing University
10
Lulu Sun
Shandong University of Science and Technology

Emerging Leaders Papers

1
Evaluation and intelligent deployment of coal and coalbed methane coupling coordinated exploitation based on Bayesian network and cuckoo search
International Journal of Mining Science and Technology|2022
162 cit.
2
Morphological evolution and flow conduction characteristics of fracture channels in fractured sandstone under cyclic loading and unloading
International Journal of Mining Science and Technology|2023
150 cit.
3
Effect of water-based SiO2 nanofluid on surface wettability of raw coal
Energy|2022
123 cit.
4
Research on the evolution of pore and fracture structures during spontaneous combustion of coal based on CT 3D reconstruction
Energy|2022
102 cit.
5
Mechanical properties and failure characteristics of sandstone under ramp loading paths
Geomechanics and Geophysics for Geo-Energy and Geo-Resources|2023
75 cit.
6
Experimental simulation study of rockburst characteristics of Sichuan–Tibet granite: A case study of the Zheduoshan tunnel
Engineering Geology|2022
71 cit.
7
Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings
Reliability Engineering & System Safety|2022
63 cit.
8
Pore-fracture structures and seepage flow characteristics during spontaneous coal combustion based on CT 3D reconstruction
Energy|2024
61 cit.
9
Mesomechanical weakening mechanism of coal modified by nanofluids with disparately sized SiO2 nanoparticles
International Journal of Rock Mechanics and Mining Sciences|2025
55 cit.
10
Dynamics of coalbed methane emission from coal cores under various stress paths and its application in gas extraction in mining-disturbed coal seam
Journal of Natural Gas Science and Engineering|2022
54 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
E.T. Brown
Commonwealth Scientific and Industrial Research Organisation
2
Yuanping Cheng
China National Administration of Coal Geology
3
Enyuan Wang
China University of Mining and Technology
4
Shengqiang Yang
China University of Mining and Technology
5
Masoud Monjezi
Tarbiat Modares University
6
Eric M. Kennedy
University of Newcastle Australia
7
Jialin Xu
Lanzhou University of Technology
8
Xuelong Li
Shandong University of Science and Technology
9
Bogdan Z. Dlugogorski
University of Newcastle Australia
10
Danial Jahed Armaghani
University of Technology Sydney

Current Senior Leaders Papers

1
Practical estimates of rock mass strength
International Journal of Rock Mechanics and Mining Sciences|1997
3.3k cit.
2
Empirical Strength Criterion for Rock Masses
Journal of the Geotechnical Engineering Division|1980
1.7k cit.
3
The Hoek–Brown failure criterion and GSI – 2018 edition
Journal of Rock Mechanics and Geotechnical Engineering|2018
1.1k cit.
4
Trends in relationships between measured in-situ stresses and depth
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts|1978
741 cit.
5
Coal oxidation at low temperatures: oxygen consumption, oxidation products, reaction mechanism and kinetic modelling
Progress in Energy and Combustion Science|2003
677 cit.
6
Ground Response Curves for Rock Tunnels
Journal of Geotechnical Engineering|1983
549 cit.
7
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
Neural Computing and Applications|2020
443 cit.
8
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Tunnelling and Underground Space Technology|2016
413 cit.
9
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
Arabian Journal of Geosciences|2013
387 cit.
10
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
Engineering With Computers|2015
360 cit.

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