Open Access Helper

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:

Research on prediction of PPV in open-pit mine used RUN-XGBoost model
Mingzhi Sun, Jiamian Yang, Chengye Yang, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28246-e28246
Open Access | Times Cited: 10

Showing 10 citing articles:

Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps
Zhitao Wang, Yubin Qiu, Shiyu Zhou, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 199-199
Open Access | Times Cited: 1
Advanced bench design and technical challenges in open pit mining: a comprehensive review of stability and productivity
Geleta Warkisa Deressa, Bhanwar Singh Choudhary, Nagessa Zerihun Jilo
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients
Duo Shen, Ling Sha, Ning Yang, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
Prediction of peak particle vibration velocity based on intelligent optimization algorithm combined with XGBoost
Feng Gao, Jinxi Xie, Xin Xiong, et al.
Expert Systems with Applications (2025), pp. 127654-127654
Closed Access
A systematic survey of hybrid ML techniques for predicting peak particle velocity (PPV) in open-cast mine blasting operations
Gundaveni Shylaja, Prashanth Ragam
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
Forecasting Gas Well Classification Based on a Two-Dimensional Convolutional Neural Network Deep Learning Model
Chunlan Zhao, Ying Jia, Yao Qu, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 878-878
Open Access | Times Cited: 2
Predicting social welfare in Madrid neighbourhoods using machine learning
Carlos Alberto Lastras Rodríguez
Regional Studies Regional Science (2024) Vol. 11, Iss. 1, pp. 496-522
Open Access
Investigation of Micro-Scale Damage and Weakening Mechanisms in Rocks Induced by Microwave Radiation and Their Associated Strength Reduction Patterns: Employing Meta-Heuristic Optimization Algorithms and Extreme Gradient Boosting Models
Zhongyuan Gu, Xin Xiong, Chengye Yang, et al.
Mathematics (2024) Vol. 12, Iss. 18, pp. 2954-2954
Open Access
Settlement prediction of Nanjing Metro Line 10 with HOA-VMD-LSTM
Xiangfeng Duan
Measurement (2024), pp. 116477-116477
Open Access
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models
Xiangfeng Duan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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