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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:

Evaluation of soil liquefaction using AI technology incorporating a coupled ENN / t-SNE model
Pierre Guy Atangana Njock, Shui‐Long Shen, Annan Zhou, et al.
Soil Dynamics and Earthquake Engineering (2019) Vol. 130, pp. 105988-105988
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen
Hai‐Min Lyu, Wan‐Huan Zhou, Shui‐Long Shen, et al.
Sustainable Cities and Society (2020) Vol. 56, pp. 102103-102103
Closed Access | Times Cited: 290
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
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
State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 5, pp. 3661-3686
Closed Access | Times Cited: 105
Prevention/mitigation of natural disasters in urban areas
Jinchun Chai, Haoze Wu
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 45
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
Groundwater Estimation from Major Physical Hydrology Components Using Artificial Neural Networks and Deep Learning
Hassan Afzaal, Aitazaz A. Farooque, Farhat Abbas, et al.
Water (2019) Vol. 12, Iss. 1, pp. 5-5
Open Access | Times Cited: 130
Application of LSTM approach for modelling stress–strain behaviour of soil
Ning Zhang, Shui‐Long Shen, Annan Zhou, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106959-106959
Closed Access | Times Cited: 120
Analyses of leakage effect of waterproof curtain during excavation dewatering
Yong-Xia Wu, Shui‐Long Shen, Hai‐Min Lyu, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124582-124582
Closed Access | Times Cited: 110
Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements
Kun Zhang, Hai‐Min Lyu, Shui‐Long Shen, et al.
Tunnelling and Underground Space Technology (2020) Vol. 106, pp. 103594-103594
Open Access | Times Cited: 109
Sustainable development and environmental restoration in Lake Erhai, China
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Journal of Cleaner Production (2020) Vol. 258, pp. 120758-120758
Closed Access | Times Cited: 90
Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO
Navid Kardani, Abidhan Bardhan, Dookie Kim, et al.
Journal of Building Engineering (2020) Vol. 35, pp. 102105-102105
Closed Access | Times Cited: 88
The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity
Yonggang Zhang, Yuanlun Xie, Yan Zhang, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 6, pp. 5053-5060
Closed Access | Times Cited: 87
Determinants of Learning Management Systems during COVID-19 Pandemic for Sustainable Education
Nadire Çavuş, Yakubu Bala Mohammed, Mohammed Nasiru Yakubu
Sustainability (2021) Vol. 13, Iss. 9, pp. 5189-5189
Open Access | Times Cited: 79
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
Excess pore water pressure caused by the installation of jet grouting columns in clay
Zhi-Feng Wang, Shui‐Long Shen, Giuseppe Modoni, et al.
Computers and Geotechnics (2020) Vol. 125, pp. 103667-103667
Closed Access | Times Cited: 75
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
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
Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing
Selçuk Demir, Emrehan Kutluğ Şahin
Environmental Earth Sciences (2022) Vol. 81, Iss. 18
Closed Access | Times Cited: 57
Novel model for risk identification during karst excavation
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Reliability Engineering & System Safety (2021) Vol. 209, pp. 107435-107435
Closed Access | Times Cited: 55
Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data
Selçuk Demir, Emrehan Kutluğ Şahin
Soil Dynamics and Earthquake Engineering (2021) Vol. 154, pp. 107130-107130
Closed Access | Times Cited: 55
Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods
Chun Kit Jeffery Hou, Kamran Behdinan
Data Science and Engineering (2022) Vol. 7, Iss. 4, pp. 402-427
Open Access | Times Cited: 44
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