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:

An AI-powered approach to improving tunnel blast performance considering geological conditions
Yaosheng Liu, Ang Li, Feng Dai, et al.
Tunnelling and Underground Space Technology (2023) Vol. 144, pp. 105508-105508
Closed Access | Times Cited: 14

Showing 14 citing articles:

A deep dive into tunnel blasting studies between 2000 and 2023—A systematic review
Biao He, Danial Jahed Armaghani, Sai Hin Lai, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105727-105727
Open Access | Times Cited: 19

Research progress and prospects of intelligent technology in underground mining of hard rock mines
Xiaobo Liu, Xingfan Zhang, Liancheng Wang, et al.
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 12-26
Open Access | Times Cited: 13

Rock strength prediction based on machine learning: A study from prediction model to mechanism explanation
Junlong Sun, Ru Zhang, Anlin Zhang, et al.
Measurement (2024) Vol. 238, pp. 115373-115373
Closed Access | Times Cited: 5

A theory-data-integrated intelligent framework for prediction of blasting-induced rock fragment size
Yaosheng Liu, Ang Li, Yipeng Liu, et al.
Powder Technology (2025), pp. 120638-120638
Closed Access

Prediction of nonuniform large deformation in deep layered rock tunnels: Comprehensive application of data-driven and theoretical models
Tianxiang Song, Yangyi Zhou, Tao Chen, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106448-106448
Closed Access

Mitigating potential risk via counterfactual explanation generation in blast-based tunnel construction
Fenghua Liu, Wenli Liu, Jiajing Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103227-103227
Closed Access

Identification of Continuous-Time Hammerstein Model Using Improved Archimedes Optimization Algorithm
Muhammad Shafiqul Islam, Mohd Ashraf Ahmad, Cho Bo Wen
International Journal of Cognitive Computing in Engineering (2024)
Open Access | Times Cited: 3

A feature importance-based intelligent method for controlling overbreak in drill-and-blast tunnels via integration with rock mass quality
Yaosheng Liu, Ang Li, Shuaishuai Wang, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 1011-1031
Closed Access | Times Cited: 1

Optimization of relief hole blasting satisfying synergistic constraints of rock-breaking area and hole-bottom minimum burden
Haojun Wu, Jiayin Jia, Min Gong, et al.
Tunnelling and Underground Space Technology (2024) Vol. 154, pp. 106074-106074
Closed Access | Times Cited: 1

The deep continual learning framework for prediction of blast-induced overbreak in tunnel construction
Biao He, Jialu Li, Danial Jahed Armaghani, et al.
Expert Systems with Applications (2024), pp. 125909-125909
Open Access

Machine learning-based optimization of photogrammetric JRC accuracy
Qinzheng Yang, Ang Li, Yipeng Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Data-Driven Continuous-Time Hammerstein Modeling with Missing Data Using Improved Archimedes Optimization Algorithm
Muhammad Shafiqul Islam, Mohd Ashraf Ahmad
Results in Engineering (2024) Vol. 24, pp. 103357-103357
Open Access

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