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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:

A novel feature selection method based on global sensitivity analysis with application in machine learning-based prediction model
Pin Zhang
Applied Soft Computing (2019) Vol. 85, pp. 105859-105859
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
Saman Razavi, Anthony J. Jakeman, Andrea Saltelli, et al.
Environmental Modelling & Software (2020) Vol. 137, pp. 104954-104954
Open Access | Times Cited: 438
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
Rui Shi, Xinyue Xu, Jianmin Li, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107538-107538
Closed Access | Times Cited: 149
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
Investigation of feature contribution to shield tunneling-induced settlement using Shapley additive explanations method
K. K. Pabodha M. Kannangara, Wan‐Huan Zhou, Zhi Ding, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1052-1063
Open Access | Times Cited: 94
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
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
Pin Zhang, Huai-Na Wu, Renpeng Chen, et al.
Tunnelling and Underground Space Technology (2020) Vol. 106, pp. 103593-103593
Closed Access | Times Cited: 124
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
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 441-452
Open Access | Times Cited: 106
On the platform but will they buy? Predicting customers' purchase behavior using deep learning
Neha Chaudhuri, Gaurav Gupta, Vallurupalli Vamsi, et al.
Decision Support Systems (2021) Vol. 149, pp. 113622-113622
Open Access | Times Cited: 101
An AI‐based model for describing cyclic characteristics of granular materials
Pin Zhang, Zhen‐Yu Yin, Yin‐Fu Jin, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2020) Vol. 44, Iss. 9, pp. 1315-1335
Open Access | Times Cited: 88
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Leonardo Goliatt, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Expert Systems with Applications (2022) Vol. 212, pp. 118295-118295
Closed Access | Times Cited: 54
Multi-objective optimization of shield construction parameters based on random forests and NSGA-II
Xianguo Wu, Lei Wang, Bin Chen, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101751-101751
Closed Access | Times Cited: 47
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
Prediction of the frost resistance of high-performance concrete based on RF-REF: A hybrid prediction approach
Xianguo Wu, Shiyi Zheng, Zongbao Feng, et al.
Construction and Building Materials (2022) Vol. 333, pp. 127132-127132
Closed Access | Times Cited: 40
Intelligent data-driven compressive strength prediction and optimization of reactive powder concrete using multiple ensemble-based machine learning approach
M. Iqbal Khan, Yassir M. Abbas
Construction and Building Materials (2023) Vol. 404, pp. 133148-133148
Closed Access | Times Cited: 22
Hybrid density-based adaptive weighted collaborative representation for imbalanced learning
Yanting Li, Shuai Wang, Junwei Jin, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4334-4351
Closed Access | Times Cited: 9
Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis
Rajwinder Singh, Rupesh Kumar Tipu, Ajaz Ahmad Mir, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 9
Reinforcement learning based optimizer for improvement of predicting tunneling-induced ground responses
Pin Zhang, Heng Li, Q. P. Ha, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101097-101097
Open Access | Times Cited: 64
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 51
Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models
Mingliang Zhou, Jiayao Chen, Hongwei Huang, et al.
International Journal of Rock Mechanics and Mining Sciences (2021) Vol. 147, pp. 104914-104914
Closed Access | Times Cited: 42
Multivariable Time Series Forecasting for Urban Water Demand Based on Temporal Convolutional Network Combining Random Forest Feature Selection and Discrete Wavelet Transform
Jun Guo, Hui Sun, Baigang Du
Water Resources Management (2022) Vol. 36, Iss. 9, pp. 3385-3400
Closed Access | Times Cited: 36
Tunneling-induced settlement prediction using the hybrid feature selection method for feature optimization
Cheng Yang, Wan‐Huan Zhou, Tao Xu
Transportation Geotechnics (2022) Vol. 36, pp. 100808-100808
Closed Access | Times Cited: 28
Influence analysis and relationship evolution between construction parameters and ground settlements induced by shield tunneling under soil-rock mixed-face conditions
Shuangfeng Guo, Bikai Wang, Peng Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 134, pp. 105020-105020
Closed Access | Times Cited: 20
Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization
Zahid Ullah, Nakyung Yoon, Bethwel Kipchirchir Tarus, et al.
Desalination (2023) Vol. 558, pp. 116614-116614
Closed Access | Times Cited: 18
Prediction of atmospheric pollutants in urban environment based on coupled deep learning model and sensitivity analysis
Siyuan Wang, Ying Ren, Bisheng Xia, et al.
Chemosphere (2023) Vol. 331, pp. 138830-138830
Closed Access | Times Cited: 16
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