OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings
Hoang Nguyen, Xuan-Nam Bui, Erkan Topal
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109032-109032
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Assessment of the ground vibration during blasting in mining projects using different computational approaches
Shahab Hosseini, Jitendra Khatti, Blessing Olamide Taiwo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 58

Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Shahab Hosseini, Rashed Pourmirzaee, Danial Jahed Armaghani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35

Machine learning prediction of BLEVE loading with graph neural networks
Qilin Li, Yang Wang, Wensu Chen, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109639-109639
Open Access | Times Cited: 23

Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
Yewuhalashet Fissha, Jitendra Khatti, Hajime Ikeda, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting
Xiaohua Ding, Mahdi Hasanipanah, Dmitrii Vladimirovich Ulrikh
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 1349-1363
Closed Access | Times Cited: 10

Deformation extent prediction of roadway roof during non-support period using support vector regression combined with swarm intelligent bionic optimization algorithms
Bingbing Yu, Qing Li, Tongde Zhao
Tunnelling and Underground Space Technology (2024) Vol. 145, pp. 105585-105585
Closed Access | Times Cited: 5

A Holistic Optimization-based Approach for Sustainable Selection of Level Crossings for Closure with Safety, Economic, and Environmental Considerations
Bokang Li, Payam Afkhami, Razieh Khayamim, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110197-110197
Closed Access | Times Cited: 5

Dynamic response and regular analysis of adjacent buildings under blasting construction across foundation pits of subway stations
Shijie Li, Xiaohe Sun, Chenghua Shi, et al.
Structures (2024) Vol. 66, pp. 106903-106903
Closed Access | Times Cited: 5

Intelligent risk identification for drilling lost circulation incidents using data-driven machine learning
Shengnan Wu, Yiming Hu, Laibin Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110407-110407
Closed Access | Times Cited: 5

Enhancing safety and minimizing risk in mining processes with artificial intelligence
Armaghan Javid, Mohammad Reza Zarkesh, Yasaman Boroumand, et al.
Elsevier eBooks (2025), pp. 355-382
Closed Access

Transparent geological exploration for intelligent and safe open-pit mining based on ambient noise seismic imaging
Pingfeng Li, Qiangqiang Zheng, Ying Xu, et al.
Applied Geophysics (2025)
Closed Access

Deep neural networks for the estimation of granite materials’ compressive strength using non-destructive indices
Danial Jahed Armaghani, Athanasia D. Skentou, Mehdi Izadpanah, et al.
Elsevier eBooks (2024), pp. 45-74
Closed Access | Times Cited: 4

Intelligent decision on shield construction parameters based on safety evaluation model and sparrow search algorithm
Wei Gao, Shuangshuang Ge, Shuang Cui, et al.
Reliability Engineering & System Safety (2025), pp. 110973-110973
Closed Access

Research on multi-factor adaptive integrated early warning method for coal mine disaster risks based on multi-task learning
Chengfei Liu, Enyuan Wang, Zhonghui Li, et al.
Reliability Engineering & System Safety (2025), pp. 111002-111002
Closed Access

Dynamic Reliability Evaluation Considering the Stochastic Evolving Process Based on Extreme Characteristics of System Responses
Di Zhou, Zhen Chen, Zhaoxiang Chen, et al.
Reliability Engineering & System Safety (2025), pp. 111005-111005
Closed Access

Nature-Inspired Solutions for Sustainable Mining: Applications of NIAs, Swarm Robotics, and Other Biomimicry-Based Technologies
Joven Tan, Noune Melkoumian, David Harvey, et al.
Biomimetics (2025) Vol. 10, Iss. 3, pp. 181-181
Open Access

Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural networks
Hoang Nguyen, Xuan-Nam Bui, Erkan Topal
International Journal of Coal Geology (2023) Vol. 275, pp. 104294-104294
Closed Access | Times Cited: 7

Mean Block Size Prediction in Rock Blast Fragmentation Using TPE-Tree-Based Model Approach with SHapley Additive exPlanations
Madalitso Mame, Yingui Qiu, Shuai Huang, et al.
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 5, pp. 2325-2340
Closed Access | Times Cited: 2

PM2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm
Xuehu Liu, Kexin Zhao, Zuhan Liu, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1612-1612
Open Access | Times Cited: 6

Ethical perspective on AI hazards to humans: A review
Chang-ye Chen, Ziyu Chen, Wenyu Luo, et al.
Medicine (2023) Vol. 102, Iss. 48, pp. e36163-e36163
Open Access | Times Cited: 5

Probabilistic capacity models and fragility estimate for NRC and UHSC panels subjected to contact blast
Kasturi Bhuyan, Hrishikesh Sharma
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109683-109683
Closed Access | Times Cited: 5

A comprehensive survey on machine learning applications for drilling and blasting in surface mining
V. S. K. R. Munagala, Srikanth Thudumu, Irini Logothetis, et al.
Machine Learning with Applications (2023) Vol. 15, pp. 100517-100517
Open Access | Times Cited: 5

Structural safety and failure analysis of buried jointed high-density polyethylene corrugated pipelines subjected to blast vibration
Yuqi Zhang, Nan Jiang, Yingkang Yao, et al.
Engineering Failure Analysis (2024) Vol. 163, pp. 108473-108473
Closed Access | Times Cited: 1

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