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:

Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network
Khalid Elbaz, Shui‐Long Shen, Annan Zhou, et al.
Engineering (2020) Vol. 7, Iss. 2, pp. 238-251
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Automation in Construction (2020) Vol. 122, pp. 103490-103490
Closed Access | Times Cited: 190

Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data
Navid Kardani, Annan Zhou, Majidreza Nazem, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2020) Vol. 13, Iss. 1, pp. 188-201
Open Access | Times Cited: 188

Deep learning analysis for energy consumption of shield tunneling machine drive system
Khalid Elbaz, Tao Yan, Annan Zhou, et al.
Tunnelling and Underground Space Technology (2022) Vol. 123, pp. 104405-104405
Closed Access | Times Cited: 79

Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 75

Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Masoud Zanganeh Kamali, Shadfar Davoodi, Hamzeh Ghorbani, et al.
Marine and Petroleum Geology (2022) Vol. 139, pp. 105597-105597
Closed Access | Times Cited: 68

Deep learning technologies for shield tunneling: Challenges and opportunities
Cheng Zhou, Yuyue Gao, Elton J. Chen, et al.
Automation in Construction (2023) Vol. 154, pp. 104982-104982
Closed Access | Times Cited: 54

Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines
Khalid Elbaz, Annan Zhou, Shui‐Long Shen
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105104-105104
Closed Access | Times Cited: 40

Machine learning and interactive GUI for concrete compressive strength prediction
Mohamed Kamel Elshaarawy, Mostafa M. Alsaadawi, Abdelrahman Kamal Hamed
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31

Hybrid LBM and machine learning algorithms for permeability prediction of porous media: A comparative study
Qing Kang, K.K. Li, Jinlong Fu, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106163-106163
Closed Access | Times Cited: 25

Assessing the significance of the particle size of Ganga sand Sone sand and bentonite mixtures for hydraulic containment liners integrated with machine learning-based UCS predictions
Rajiv Kumar, Divesh Ranjan Kumar, Sunita Kumari, et al.
Construction and Building Materials (2025) Vol. 465, pp. 140236-140236
Closed Access | Times Cited: 1

Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning
Shui‐Long Shen, Pierre Guy Atangana Njock, Annan Zhou, et al.
Acta Geotechnica (2020) Vol. 16, Iss. 1, pp. 303-315
Closed Access | Times Cited: 134

Modelling of municipal solid waste gasification using an optimised ensemble soft computing model
Navid Kardani, Annan Zhou, Majidreza Nazem, et al.
Fuel (2020) Vol. 289, pp. 119903-119903
Closed Access | Times Cited: 78

Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms
Song-Shun Lin, Shui‐Long Shen, Ning Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101177-101177
Open Access | Times Cited: 78

Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method
Ning Zhang, Annan Zhou, Yutao Pan, et al.
Measurement (2021) Vol. 183, pp. 109700-109700
Closed Access | Times Cited: 75

Tunnel boring machine vibration-based deep learning for the ground identification of working faces
Mengbo Liu, Shaoming Liao, Yifeng Yang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1340-1357
Open Access | Times Cited: 71

Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network
Nan Zhang, Ning Zhang, Qian Zheng, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1167-1182
Closed Access | Times Cited: 67

Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 1229-1245
Closed Access | Times Cited: 61

Machine learning forecasting models of disc cutters life of tunnel boring machine
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Hawkar Hashim Ibrahim, et al.
Automation in Construction (2021) Vol. 128, pp. 103779-103779
Closed Access | Times Cited: 56

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6121-6121
Open Access | Times Cited: 54

Prediction of shield machine posture using the GRU algorithm with adaptive boosting: A case study of Chengdu Subway project
Haohan Xiao, Zuyu Chen, Ruilang Cao, et al.
Transportation Geotechnics (2022) Vol. 37, pp. 100837-100837
Closed Access | Times Cited: 44

Prediction and analysis of slurry shield TBM disc cutter wear and its application in cutter change time
Xiang Shen, Xiangsheng Chen, Yanbin Fu, et al.
Wear (2022) Vol. 498-499, pp. 204314-204314
Closed Access | Times Cited: 38

Prediction of jacking force using PSO-BPNN and PSO-SVR algorithm in curved pipe roof
Hao Zhou, Sheng Huang, Peng Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 138, pp. 105159-105159
Closed Access | Times Cited: 27

Multifactorial analysis of a gateroad stability at goaf interface during longwall coal mining – A case study
Dmytro Babets, Olena Sdvyzhkova, Serhii Hapieiev, et al.
Mining of Mineral Deposits (2023) Vol. 17, Iss. 2, pp. 9-19
Open Access | Times Cited: 23

A neural network approach for the reliability analysis on failure of shallow foundations on cohesive soils
Ambrosios-Antonios Savvides, Leonidas Papadopoulos
International Journal of Geo-Engineering (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14

Enhancing Discharge Prediction over Type-A Piano Key Weirs: An Innovative Machine Learning Approach
Wei‐Ming Tian, Haytham F. Isleem, Abdelrahman Kamal Hamed, et al.
Flow Measurement and Instrumentation (2024) Vol. 100, pp. 102732-102732
Closed Access | Times Cited: 12

Page 1 - Next Page

Scroll to top