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:
Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana
Victor Amoako Temeng, Clement Kweku Arthur, Yao Yevenyo Ziggah
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 1, pp. 897-909
Closed Access | Times Cited: 13
Victor Amoako Temeng, Clement Kweku Arthur, Yao Yevenyo Ziggah
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 1, pp. 897-909
Closed Access | Times Cited: 13
Showing 13 citing articles:
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: 40
Nelson Kofi Dumakor-Dupey, Sampurna Arya, Ankit Jha
Minerals (2021) Vol. 11, Iss. 6, pp. 601-601
Open Access | Times Cited: 40
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning
Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction
Eric Ofori-Ntow, Yao Yevenyo Ziggah, María João Rodrigues, et al.
Results in Engineering (2022) Vol. 14, pp. 100399-100399
Open Access | Times Cited: 20
Eric Ofori-Ntow, Yao Yevenyo Ziggah, María João Rodrigues, et al.
Results in Engineering (2022) Vol. 14, pp. 100399-100399
Open Access | Times Cited: 20
A hybrid intelligent prediction model of autoencoder neural network and multivariate adaptive regression spline for uniaxial compressive strength of rocks
Edmund Nana Asare, Michael Affam, Yao Yevenyo Ziggah
Modeling Earth Systems and Environment (2023) Vol. 9, Iss. 3, pp. 3579-3595
Closed Access | Times Cited: 11
Edmund Nana Asare, Michael Affam, Yao Yevenyo Ziggah
Modeling Earth Systems and Environment (2023) Vol. 9, Iss. 3, pp. 3579-3595
Closed Access | Times Cited: 11
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Behrooz Keshtegar, Jamshid Piri, Rini Asnida Abdullah, et al.
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 8
Behrooz Keshtegar, Jamshid Piri, Rini Asnida Abdullah, et al.
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 8
Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Edy Tonnizam Mohamad, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9189-9189
Open Access | Times Cited: 12
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Edy Tonnizam Mohamad, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9189-9189
Open Access | Times Cited: 12
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
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
Application of artificial intelligence in predicting blast-induced ground vibration
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Victor Amoako Temeng, et al.
Elsevier eBooks (2024), pp. 251-267
Closed Access | Times Cited: 1
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Victor Amoako Temeng, et al.
Elsevier eBooks (2024), pp. 251-267
Closed Access | Times Cited: 1
Support Vector Machine Application in Modelling and Prediction of Blast-Induced Ground Vibration
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Edy Tonnizam Mohamad, et al.
Lecture notes in civil engineering (2024), pp. 717-728
Closed Access
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Edy Tonnizam Mohamad, et al.
Lecture notes in civil engineering (2024), pp. 717-728
Closed Access
Characteristics and Energy Distribution of Blast-Induced Ground Vibration in Deep-Hole Blasting
Shijie Bao, Honglu Fei, Gang Hu
Buildings (2023) Vol. 13, Iss. 4, pp. 899-899
Open Access
Shijie Bao, Honglu Fei, Gang Hu
Buildings (2023) Vol. 13, Iss. 4, pp. 899-899
Open Access
A Comparative Study between Empirical and Soft Computing Technique for Prediction of Ground Vibration Due to Tunnel Blasting
guoquan xu, Xinyu Wang
SSRN Electronic Journal (2022)
Closed Access
guoquan xu, Xinyu Wang
SSRN Electronic Journal (2022)
Closed Access
A novel hybrid MARS model based on grey wolf optimizer to improve tunnel blasting vibration prediction
guoquan xu, Xinyu Wang
Research Square (Research Square) (2022)
Closed Access
guoquan xu, Xinyu Wang
Research Square (Research Square) (2022)
Closed Access
