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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:

Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction
Jilei Hu, Wenjun Zou, Jing Wang, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115702-115702
Closed Access | Times Cited: 19

Showing 19 citing articles:

Development and Analysis of a CNN- and Transfer-Learning-Based Classification Model for Automated Dairy Cow Feeding Behavior Recognition from Accelerometer Data
Victor Bloch, Lilli Frondelius, Claudia Arcidiacono, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2611-2611
Open Access | Times Cited: 24
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
A new approach for constructing two Bayesian network models for predicting the liquefaction of gravelly soil
Jilei Hu
Computers and Geotechnics (2021) Vol. 137, pp. 104304-104304
Closed Access | Times Cited: 34
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study
Xuelin Liu, Baoping Cai, Xiaobing Yuan, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119335-119335
Closed Access | Times Cited: 27
Hyperspectral imaging predicts free fatty acid levels, peroxide values, and linoleic acid and oleic acid concentrations in tree nut kernels
Tsvakai Gama, Michael B. Farrar, Mahshid Tootoonchy, et al.
LWT (2024) Vol. 199, pp. 116068-116068
Open Access | Times Cited: 5
Probabilistic capacity energy-based machine learning models for soil liquefaction reliability analysis
Zening Zhao, Wei Duan, Guojun Cai, et al.
Engineering Geology (2024) Vol. 338, pp. 107613-107613
Closed Access | Times Cited: 5
Bayesian Network Ensemble Models Applied to Seismic Liquefaction Prediction Based on Different In-situ Test Databases
Wenjun Zou, Jilei Hu
Applied Soft Computing (2025), pp. 112668-112668
Closed Access
Influence of data quality on the performance of supervised classification models for predicting gravelly soil liquefaction
Jilei Hu, Jing Wang
Engineering Geology (2023) Vol. 324, pp. 107254-107254
Closed Access | Times Cited: 11
SAMBA: Structure-Learning of Aquaculture Microbiomes Using a Bayesian Approach
Beatriz Soriano, Ahmed Ibrahem Hafez, Fernando Naya-Català, et al.
Genes (2023) Vol. 14, Iss. 8, pp. 1650-1650
Open Access | Times Cited: 7
Feasibility analysis of applying non-invasive core body temperature measurement in sleep research
Xinbo Xu, Gang Wu, Zhiwei Lian, et al.
Energy and Buildings (2023) Vol. 303, pp. 113827-113827
Closed Access | Times Cited: 6
Evaluation of Oversampling Methods (OVER, SMOTE, and ROSE) in Classifying Soil Liquefaction Dataset based on SVM, RF, and Naïve Bayes
Selçuk Demir, Emrehan Kutluğ Şahin
European Journal of Science and Technology (2022)
Open Access | Times Cited: 10
Influence of sample attributes on generalization performance of machine learning models for windage alteration fault diagnosis of the mine ventilation system
Li Liu, Jian Liu, Qichao Zhou, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119320-119320
Closed Access | Times Cited: 10
An innovative approach of determining the sample data size for machine learning models: a case study on health and safety management for infrastructure workers
Haoqing Wang, Wen Yi, Yannick Liu
Electronic Research Archive (2022) Vol. 30, Iss. 9, pp. 3452-3462
Open Access | Times Cited: 6
A data extension framework of seismic-induced gravelly soil liquefaction based on semi-supervised methods
Jilei Hu, Jing Wang
Advanced Engineering Informatics (2023) Vol. 59, pp. 102295-102295
Closed Access | Times Cited: 2
Identifying priority conservation areas for threatened amphibian habitats in the Yangtze river Delta region to maintain regional biodiversity
Zhen‐Ya Li, Fanhua Kong, Michael E. Meadows, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123766-123766
Closed Access
KASH TRAINING MODELS: INCREASING LEVELS OF COMMITMENT AND ORGANIZATIONAL EFFECTIVENESS
Diego Rafael Roberto Cabrera Moya, Hemaloshinee Vasudevan, Germán Alfonso Prieto-Rodríguez
Verslas teorija ir praktika (2023) Vol. 24, Iss. 1, pp. 239-249
Open Access | Times Cited: 1
Integration of Double-Weighted Bayesian and Simplified Methods for Predicting Seismic Liquefaction Based on Multiple Databases
Jilei Hu
International Journal of Geomechanics (2023) Vol. 23, Iss. 12
Closed Access | Times Cited: 1
Strategy of Spatial Interpolation of Globally Obtained Spt Data Via the Synthetic Minority Over-Sampling Technique (Smote)
Dae-Hong Min, Young-Seok Kim, Sewon Kim, et al.
(2023)
Closed Access
SAMBA: Structure-Learning of Aquaculture Microbiomes using a Bayesian Approach
Beatriz Soriano, Ahmed Ibrahem Hafez, Fernando Naya-Català, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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