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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:

Success and challenges in predicting TBM penetration rate using recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2022) Vol. 130, pp. 104728-104728
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Qing Kang, Elton J. Chen, Zhongchao Li, et al.
Underground Space (2023) Vol. 13, pp. 335-350
Open Access | Times Cited: 53
Digital twin enabled real-time advanced control of TBM operation using deep learning methods
Limao Zhang, Guo Jing, Xianlei Fu, et al.
Automation in Construction (2023) Vol. 158, pp. 105240-105240
Closed Access | Times Cited: 41
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Developing bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Ali Reza Ghanizadeh, Afshin Ghanizadeh, Panagiotis G. Asteris, et al.
Transportation Geotechnics (2022) Vol. 38, pp. 100906-100906
Closed Access | Times Cited: 57
Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms
Pouyan Fakharian, Danial Rezazadeh Eidgahee, Mahdi Akbari, et al.
Structures (2022) Vol. 47, pp. 1790-1802
Closed Access | Times Cited: 53
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 374-384
Closed Access | Times Cited: 32
Modelling Soil Compaction Parameters Using an Enhanced Hybrid Intelligence Paradigm of ANFIS and Improved Grey Wolf Optimiser
Abidhan Bardhan, Raushan Kumar Singh, Sufyan Ghani, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3064-3064
Open Access | Times Cited: 27
Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 5, pp. 1538-1551
Open Access | Times Cited: 27
Estimating dynamic compressive strength of rock subjected to freeze-thaw weathering by data-driven models and non-destructive rock properties
Shengtao Zhou, Yu Lei, Zong‐Xian Zhang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-24
Closed Access | Times Cited: 12
Predicting the International Roughness Index of JPCP and CRCP Rigid Pavement: A Random Forest (RF) Model Hybridized with Modified Beetle Antennae Search (MBAS) for Higher Accuracy
Ji Zhou, Mengmeng Zhou, Qiang Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1557-1582
Open Access | Times Cited: 11
A novel carbon emission estimation method based on electricity‑carbon nexus and non-intrusive load monitoring
Yingqi Xia, Gengchen Sun, Yanfeng Wang, et al.
Applied Energy (2024) Vol. 360, pp. 122773-122773
Closed Access | Times Cited: 10
Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Shahab Hosseini, Behrouz Gordan, Erol Kalkan
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 7
Machine learning approach for predicting compressive strength in foam concrete under varying mix designs and curing periods
Soran Abdrahman Ahmad, Hemn Unis Ahmed, Serwan Rafiq, et al.
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 21
Advanced Tree-Based Techniques for Predicting Unconfined Compressive Strength of Rock Material Employing Non-Destructive and Petrographic Tests
Yuzhen Wang, Mahdi Hasanipanah, Ahmad Safuan A. Rashid, et al.
Materials (2023) Vol. 16, Iss. 10, pp. 3731-3731
Open Access | Times Cited: 20
Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review
Feng Shan, Xuzhen He, Haoding Xu, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 2, pp. 1516-1535
Open Access | Times Cited: 16
ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
Qiang Wang, Jiali Qi, Shahab Hosseini, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2278-2278
Open Access | Times Cited: 16
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Yuxian Zhang, Xuhua Ren, Jixun Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108103-108103
Closed Access | Times Cited: 5
Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines
Hongyuan Fang, Zhaoyang Zhang, Danyang Di, et al.
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105386-105386
Closed Access | Times Cited: 13
TBM tunneling strata automatic identification and working conditions decision support
Kang Fu, Daohong Qiu, Yiguo Xue, et al.
Automation in Construction (2024) Vol. 163, pp. 105425-105425
Closed Access | Times Cited: 4
Analyzing surface settlement factors in single and twin tunnels: A review study
Chia Yu Huat, Danial Jahed Armaghani, Sai Hin Lai, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 4
Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105906-105906
Open Access | Times Cited: 4
Enhancing Tunnel Boring Machine Penetration Rate Predictions through Particle Swarm Optimization and Elman Neural Networks
Yuwei Zhang, Lianbaichao Liu, Song Zhan-ping, et al.
Journal of Construction Engineering and Management (2024) Vol. 150, Iss. 9
Closed Access | Times Cited: 4
Multi-objective optimization control for shield cutter wear and cutting performance using LightGBM and enhanced NSGA-II
Zi‐Wei Yin, Jian Jiao, Ping Xie, et al.
Automation in Construction (2025) Vol. 171, pp. 105957-105957
Closed Access
Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry
Muhammad Idrees, Maqbool Hussain Sial, Najam Ul Hassan
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319679-e0319679
Open Access
A novel ensemble machine learning model to predict mine blasting–induced rock fragmentation
Mojtaba Yari, Biao He, Danial Jahed Armaghani, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 5
Closed Access | Times Cited: 12
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