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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:

Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms
Ziwei Ding, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 751-769
Closed Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Yingui Qiu, Jian Zhou, Manoj Khandelwal, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 4145-4162
Closed Access | Times Cited: 315
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
Jian Zhou, Yingui Qiu, Shuangli Zhu, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 97, pp. 104015-104015
Closed Access | Times Cited: 261
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
Jian Zhou, Yingui Qiu, Danial Jahed Armaghani, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101091-101091
Open Access | Times Cited: 230
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
Jian Zhou, Yingui Qiu, Shuangli Zhu, et al.
Underground Space (2020) Vol. 6, Iss. 5, pp. 506-515
Open Access | Times Cited: 205
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
Jian Zhou, Yingui Qiu, Manoj Khandelwal, et al.
International Journal of Rock Mechanics and Mining Sciences (2021) Vol. 145, pp. 104856-104856
Open Access | Times Cited: 151
Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models
Reza Sarkhani Benemaran, Mahzad Esmaeili‐Falak, Akbar A. Javadi
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Open Access | Times Cited: 82
Short-Term Rockburst Damage Assessment in Burst-Prone Mines: An Explainable XGBOOST Hybrid Model with SCSO Algorithm
Yingui Qiu, Jian Zhou
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 12, pp. 8745-8770
Closed Access | Times Cited: 56
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
Jian Zhou, Yulin Zhang, Yingui Qiu
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 21
Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
Enming Li, Fenghao Yang, Meiheng Ren, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1380-1397
Open Access | Times Cited: 101
Chaotic oppositional sine–cosine method for solving global optimization problems
Liang Xi, Zhennao Cai, Mingjing Wang, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1223-1239
Closed Access | Times Cited: 89
Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques
Chuanqi Li, Jian Zhou, Danial Jahed Armaghani, et al.
Underground Space (2020) Vol. 6, Iss. 4, pp. 379-395
Open Access | Times Cited: 85
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
Hoang Nguyen, Yosoon Choi, Xuan-Nam Bui, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 132-132
Open Access | Times Cited: 79
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
Wei Zhu, Hima Nikafshan Rad, Mahdi Hasanipanah
Applied Soft Computing (2021) Vol. 108, pp. 107434-107434
Closed Access | Times Cited: 61
Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM
Chuanqi Li, Jian Zhou, Ming Tao, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100819-100819
Closed Access | Times Cited: 60
Prediction of Probability of Liquefaction Using Soft Computing Techniques
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman
Journal of The Institution of Engineers (India) Series A (2022) Vol. 103, Iss. 4, pp. 1195-1208
Closed Access | Times Cited: 57
Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting
Shucheng Luo, Baoshi Wang, Qingzhong Gao, et al.
Energy Reports (2024) Vol. 12, pp. 2676-2689
Open Access | Times Cited: 12
Elastic modulus prediction for high-temperature treated rock using multi-step hybrid ensemble model combined with coronavirus herd immunity optimizer
Tianxing Ma, Xiangqi Hu, Hengyu Liu, et al.
Measurement (2024) Vol. 240, pp. 115596-115596
Closed Access | Times Cited: 10
Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations
Jian Zhou, Yong Dai, Manoj Khandelwal, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 4753-4771
Closed Access | Times Cited: 55
Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality
Yacine Achour, Zahra Saïdani, Rania Touati, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 17
Closed Access | Times Cited: 47
Advances in Blast-Induced Impact Prediction—A Review of Machine Learning Applications
Nelson Kofi Dumakor-Dupey, Sampurna Arya, Ankit Jha
Minerals (2021) Vol. 11, Iss. 6, pp. 601-601
Open Access | Times Cited: 41
Ecological risk assessment based on soil adsorption capacity for heavy metals in Taihu basin, China
Feier Wang, Fuxin Wang, Hongrui Yang, et al.
Environmental Pollution (2022) Vol. 316, pp. 120608-120608
Open Access | Times Cited: 35
XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate
Salwa R. Al-Taai, Noralhuda M. Azize, Zainab Abdulrdha Thoeny, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8889-8889
Open Access | Times Cited: 19
Knowledge mapping of research progress in blast-induced ground vibration from 1990 to 2022 using CiteSpace-based scientometric analysis
Yulin Zhang, Haini He, Manoj Khandelwal, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 47, pp. 103534-103555
Closed Access | Times Cited: 17
Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm
Xiaohua Ding, Mahdi Hasanipanah, Hima Nikafshan Rad, et al.
Engineering With Computers (2020) Vol. 37, Iss. 3, pp. 2273-2284
Closed Access | Times Cited: 48
Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms
Hadi Fattahi, Mahdi Hasanipanah
Natural Resources Research (2020) Vol. 30, Iss. 2, pp. 1849-1863
Closed Access | Times Cited: 47
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