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M

Manoj Khandelwal

Ton Duc Thang University

52H-index
212Paper Count
8.5KCitation Count
Published Papers 88
Publication Date
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Toward Practical Rock Mass Classification and Conversion: An Interpretable Data-Driven Framework for Mapping Q-System Parameters to RMR
errRock Mechanics and Rock Engineering
IF6.6
err2026-09-17
err0
errOAAI
errShuai Huang; Jian Zhou; Manoj Khandelwal; Tawanda Zvarivadza; Mbalenhle Mpanza; Abiodun Ismail Lawal; Moshood Onifade; Xuan-Nam Bui
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errSave
Physics-Consistent Monotonic Machine Learning for RMR Prediction from Q-System Parameters Under Duplicate-Aware Validation
errRock Mechanics and Rock Engineering
IF6.6
err2026-09-17
err0
errOAAI
errYulin Zhang; Chi Li; Jiehao Gu; Manoj Khandelwal; Tawanda Zvarivadza; Abiodun Ismail Lawal; Moshood Onifade; H. B. Motra; Haihui Xin; Jian Zhou
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errSave
Harnessing Nigeria’s mineral resources for sustainable infrastructure development: challenges and prospects
errMineral Economics
IF3.5
err2026-06-22
err0
errOAAI
errOlushola Daniel Eniowo; Moshood Onifade; John Adebisi; Tawanda Zvarivadza; Abiodun Ismail Lawal; Manoj Khandelwal
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errSave
Assessing Circularity Readiness in Data-Scarce Contexts: A Regional Framework for Environmental Resource Sectors in Vietnam
errSustainability
IF3.3
err2026-05-20
err0
errOAAI
errXuan-Nam Bui; Manoj Khandelwal; Nga Nguyen; Diep Anh Vu; Anh Hoa Nguyen; Thi Minh Hoa Le
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errSave
Mine-to-Crusher Optimization: Focusing on Rock Fragmentation and Energy Efficiency
errEng
IF2.4
err2026-05-04
err0
PREAI
errXu, Jian; Hosseini, Shahab; Monjezi, Masoud; He, Biao; Jahed Armaghani, Danial; Khandelwal, Manoj
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errSave
Geotechnical Properties and Applications of Iron Ore Tailings-Amended Lateritic Soil for Road Construction
errRudarsko-Geolosko-Naftni Zbornik
IF1.1
err2026-01-01
err1
PREAI
errDaramola, Sunday Olabisi; Owolabi, Ayodele Olumuyiwa; Eniowo, Olushola Daniel; Grobler, Hendrik; Onifade, Moshood; Khandelwal, Manoj
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errSave
Hybrid Machine Learning with Metaheuristic Optimization for Predicting Peak Particle Velocity in Open-Pit Mines
errMining Metallurgy & Exploration
IF2
err2026-01-01
err1
errOAAI
errGu, Jiehao; Zhang, Yulin; Li, Chuanqi; Zhou, Jian; Onifade, Moshood; Khandelwal, Manoj
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errSave
Ground-Type Classification from Earth-Pressure-Balance Shield Operational Data with Uncertainty Quantification
errApplied Sciences-Basel
IF2.5
err2025-12-17
err0
errOAAI
errHuang, Shuai; Chen, Yuxin; Khandelwal, Manoj; Zhou, Jian
errShare
errSave
Graded Evaluation and Optimal Scheme Selection of Mine Rock Diggability Based on the Multidimensional Cloud Model
errMACHINES
IF2.5
err2025-11-03
err0
errOAAI
errYao, Shibin; Li, Xiaoyuan; Zhou, Jian; Khandelwal, Manoj
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errSave
Optimising tunnel support design with machine learning models
errEnvironmental Earth Sciences
IF2.8
err2025-10-17
err0
errOAAI
errAbiodun Ismail Lawal; Tawanda Zvarivadza; Moshood Onifade; Francois Mulenga; Manoj Khandelwal
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errSave
Advanced machine learning for pillar stress prediction and design optimisation in hardrock platinum mining: enhancing safety and sustainability on the Great Dyke of Zimbabwe
errGeomechanics and Geophysics for Geo-Energy and Geo-Resources
IF4.2
err2025-10-03
err0
errOAAI
errTawanda Zvarivadza; Hendrik Grobler; Sohan Singh Rajpurohit; Senzeni Moyo; Moshood Onifade; Manoj Khandelwal
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errSave
Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy
errRock Mechanics Bulletin
IF7
err2025-10-01
err1
errOAAI
errZvarivadza, Tawanda; Lawal, Abiodun Ismail; Onifade, Moshood; Mulenga, Francois; Kwon, Sangki; Khandelwal, Manoj
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errSave
Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta-Heuristic Optimization
errInternational Journal for Numerical and Analytical Methods in Geomechanics
IF3.6
err2025-09-19
err0
PREAI
errJian Zhou; Zijian Liu; Chuanqi Li; Kun Du; Manoj Khandelwal
errShare
errSave
Enhancing tunnel safety with machine learning models for ground behavior prediction
errTunnelling and Underground Space Technology
IF7.4
err2025-07-12
err0
errOAAI
errJian Zhou; Yulin Zhang; Yingui Qiu; Kang Peng; Manoj Khandelwal
errShare
errSave
Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models
errFUEL
IF7.5
err2025-03-01
err0
errOAAI
errChen, Yuxin; Khandelwal, Manoj; Onifade, Moshood; Zhou, Jian; Lawal, Abiodun Ismail; Bada, Samson Oluwaseyi; Genc, Bekir
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errSave
Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models
errNATURAL HAZARDS
IF3.7
err2025-02-10
err0
errOAAI
errRay, Arunava; Atul, Gopika C.; Sapkota, Sanjog Chhetri; Saha, Prasenjit; Das, Sourav; Rai, Rajesh; Khandelwal, Manoj
errShare
errSave
Knowledge structure and research progress in earthquake-induced liquefaction assessment from 2000 to 2023: A scientometric analysis incorporating domain knowledge
errSOIL DYNAMICS AND EARTHQUAKE ENGINEERING
IF4.6
err2025-01-01
err0
PREAI
errQi, Hongning; Zhou, Jian; Peng, Kang; Khandelwal, Manoj
errShare
errSave
Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization
errTUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
IF7.4
err2025-01-01
err0
errOAAI
errLawal, Abiodun Ismail; Onifade, Moshood; Kwon, Sangki; Khandelwal, Manoj
errShare
errSave
Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological overview (2002-2022)
errTUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
IF7.4
err2024-12-01
err0
errOAAI
errZhou, Jian; Qi, Hongning; Peng, Kang; Zhang, Yulin; Khandelwal, Manoj
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errSave
Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks
errFUEL
IF7.5
err2024-10-01
err1
errOAAI
errOnifade, Moshood; Lawal, Abiodun Ismail; Bada, Samson Oluwaseyi; Khandelwal, Manoj
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errSave

Research Directions

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Co-authors
Cooperation Journals
D
Dieu Tien Bui
H-index: 112 · Papers: 300
P
P.G. Ranjith
H-index: 102 · Papers: 833
D
Danial Jahed Armaghani
H-index: 98 · Papers: 500
S
Shanyong Wang
H-index: 74 · Papers: 468
X
Xibing Li
H-index: 74 · Papers: 487
View more