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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:

BILSTM-Based Deep Neural Network for Rock-Mass Classification Prediction Using Depth-Sequence MWD Data: A Case Study of a Tunnel in Yunnan, China
Xu Cheng, Hua Tang, Zhenjun Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6050-6050
Open Access | Times Cited: 17

Showing 17 citing articles:

Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
Alberto Fernández, Pablo Segarra, José A. Sanchidrián, et al.
Ore Geology Reviews (2024) Vol. 168, pp. 106045-106045
Open Access | Times Cited: 5
Comparison of machine learning models for rock UCS prediction using measurement while drilling data
Yachen Xie, Xianrui Li, Min Zhao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data
Daniel M. Goldstein, Chris Aldrich, Louisa O’Connor
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1343-1360
Open Access | Times Cited: 4
Improving Forecasting Accuracy of Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms
Dilip Kumar Roy, Tasnia Hossain Munmun, Chitra Rani Paul, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3624-3624
Open Access | Times Cited: 10
A COMPARATIVE STUDY ON MACHINE LEARNING APPROACHES FOR ROCK MASS CLASSIFICATION USING DRILLING DATA
Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100199-100199
Open Access | Times Cited: 3
A Review of Orebody Knowledge Enhancement using Machine Learning on Open Pit Mine Measure-While-Drilling Data
Daniel Goldstein, Chris Aldrich, Louisa O’Connor
(2024)
Open Access | Times Cited: 2
An automatic methodology for lithology identification in a tight sandstone reservoir using a bidirectional long short-term memory network combined with Borderline-SMOTE
Chong Hu, Rui Deng, Xueyi Hu, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2
Charging Scheduling of Hybrid Energy Storage Systems for EV Charging Stations
Gülsah Erdogan, Wiem Fekih Hassen
Energies (2023) Vol. 16, Iss. 18, pp. 6656-6656
Open Access | Times Cited: 6
Improving predictions of rock tunnel squeezing with ensemble Q-learning and online Markov chain
Hadi Sarhangi Fard, Hamïd Parvïn, Mohammadreza Mahmoudi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
AI-Powered Geotechnics: Enhancing Rock Mass Classification for Safer Engineering Practices
Saadati. Ghader, Sina Javankhoshdel, Javad Mohebbi Najm Abad, et al.
Rock Mechanics and Rock Engineering (2024)
Open Access | Times Cited: 1
Advanced predictive model and feature importance analysis for geological characteristics in tunnelling operations
Chukwuemeka Daniel, Amos Izuchukwu Daniel
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
MWD data Analysis for Risk Assessment and Process Optimization in Tunneling
Alla Sapronova, Thomas Marcher, Franziska Klein
Proceedings of the World Congress on Civil, Structural, and Environmental Engineering (2024)
Open Access
Rock Mass Quality Rating Based on the Multi-Criteria Grey Metric Space
Miloš Gligorić, Zoran Gligorić, Saša Jovanović, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 3, pp. 2635-2664
Open Access
Dynamic Numerical Simulation and Transfer Learning-Based Rapid Rock Identification during Measurement While Drilling (MWD)
Yuwei Fang, Zhenjun Wu, Lianghua Jiang, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1260-1260
Open Access
Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model
Minggong Zhang, Ankang Ji, Chang Zhou, et al.
Automation in Construction (2024) Vol. 168, pp. 105793-105793
Closed Access
Towards Automated Lithology Classification in NATM Tunnel: A Data-Driven Solution for Multi-dimensional Imbalanced Data
Yang Li, Jiayao Chen, Qian Fang, et al.
Rock Mechanics and Rock Engineering (2024)
Closed Access
Laboratorial studies on the effect of rock microfabric parameters on drill rig vibration
A. Bameri, Seyed Hadi Hoseinie, Masoud Cheraghi Seifabad, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 84, Iss. 1
Closed Access
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