Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 intelligent approach for predicting overbreak in underground blasting operation based on an optimized XGBoost model
Zhixian Hong, Ming Tao, Leilei Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107097-107097
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

An intelligent approach to investigate the effects of container orientation for PCM melting based on an XGBoost regression model
Burak Kıyak, Hakan F. Öztop, Fatih Ertam, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 161, pp. 202-213
Closed Access | Times Cited: 11
Prediction and optimization of adverse responses for a highway tunnel after blasting excavation using a novel hybrid multi-objective intelligent model
Chuanqi Li, Jian Zhou
Transportation Geotechnics (2024) Vol. 45, pp. 101228-101228
Closed Access | Times Cited: 9
Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm
Hongyu Chen, Qiping Geoffrey Shen, Mirosław J. Skibniewski, et al.
Information Fusion (2024), pp. 102705-102705
Closed Access | Times Cited: 9
Prediction and comparison of burning rate of n-heptane pool fire in open space based on BPNN and XGBoost
Peng Xu, Yubo Bi, Jian Chen, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 89-101
Closed Access | Times Cited: 8
Data-driven deformation prediction and control for existing tunnels below shield tunneling
Zongbao Feng, Jingyi Wang, Wenzhao Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109379-109379
Closed Access | Times Cited: 8
Optimizing compressive strength prediction of pervious concrete using artificial neural network
Sathushka Heshan Bandara Wijekoon, Asoharasa Janarth, Joseph Dharmar, et al.
Engineering Research Express (2025) Vol. 7, Iss. 1, pp. 015418-015418
Closed Access | Times Cited: 1
Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete
Tao Hai, Zainab Hasan Ali, Faisal M. Mukhtar, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108674-108674
Closed Access | Times Cited: 8
Optimization of Blasting Parameters Considering Both Vibration Reduction and Profile Control: A Case Study in a Mountain Hard Rock Tunnel
Junjie Zhou, Shan Gao, Pingkuang Luo, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1421-1421
Open Access | Times Cited: 6
Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology
Zhongli Lin, Hanqiu Xu, Xisheng Hu, et al.
Building and Environment (2024) Vol. 265, pp. 112017-112017
Closed Access | Times Cited: 6
Multi-objective optimization of heat transfer performance and power consumption of Taylor-Couette flow with elliptical helical slits wall
Ya-Zhou Song, Dong Liu, Si-Liang Sun, et al.
International Journal of Thermal Sciences (2024) Vol. 208, pp. 109474-109474
Closed Access | Times Cited: 6
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
Prediction of Unconfined Compressive Strength of Cemented Tailings Backfill Containing Coarse Aggregate Using a Hybrid Model Based on Extreme Gradient Boosting
Jinping Guo, Zechen Li, Xiaolin Wang, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2025)
Closed Access
A State-of-the-art Novel Approach to Predict Potato Crop Coefficient (Kc) by Integrating Advanced Machine Learning Tools
Saad Javed Cheema, Masoud Karbasi, Gurjit S. Randhawa, et al.
Smart Agricultural Technology (2025), pp. 100896-100896
Open Access
An intelligent approach for predicting strength of roadbed foam lightweight concrete based on optimized XGBoost model
Wanmao Zhang, Dunwen Liu, Yu Tang, et al.
Case Studies in Construction Materials (2025), pp. e04702-e04702
Open Access
Fatigue reliability evaluation for impellers with consideration of multi‐source uncertainties using a WOA‐XGBoost surrogate model
Cheng Qian, Wenjuan Li, Shengxing Wei, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3193-3211
Closed Access | Times Cited: 2
Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning
Xiaojun Wang, Xu Li, Hao Yuan, et al.
Materials Today Communications (2024) Vol. 40, pp. 109997-109997
Closed Access | Times Cited: 2
Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China
Zhongli Lin, Hanqiu Xu, Xiong Yao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Numerical analysis on dynamic response and damage threshold characterization of deep rock mass under blasting excavation
Qi Zong, Nao Lv, Haibo Wang, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 1
Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform
Yuan Cao, Shifan Li, Qiping Shen, et al.
Automation in Construction (2024) Vol. 169, pp. 105882-105882
Closed Access | Times Cited: 1
Optimizing the extreme gradient boosting algorithm through the use of metaheuristic algorithms in sales forecasting
Bahadır Gülsün, Muhammed Resul Aydin
Research Square (Research Square) (2024)
Open Access
Employing Artificial Intelligence for Enhanced Microbial Fuel Cell Performance through Wolf Vitamin Solution Optimization
Hamed Farahani, Mostafa Ghasemi, Mehdi Sedighi, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6468-6468
Open Access
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture
Truong Dang, Tien Thanh Nguyen, John McCall, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
A New Method of Rockburst Prediction for Categories with Sparse Data Using Improved XGBoost Algorithm
Ming Tao, Qizheng Zhao, Rui Zhao, et al.
Natural Resources Research (2024)
Closed Access
Landslide spatial prediction based on cascade forest and stacking ensemble learning algorithm
Sijing Chen, Yutong Pan, Chengda Lu, et al.
International Journal of Systems Science (2024), pp. 1-13
Closed Access
An optimization framework for hot-rolled strip crown control based on model-driven digital twin
F Wang, Chao Liu, An Ping He, et al.
Journal of Iron and Steel Research International (2024)
Closed Access
Page 1 - Next Page

Scroll to top