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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:

An integrated approach based on Gaussian noises-based data augmentation method and AdaBoost model to predict faecal coliforms in rivers with small dataset
Ali El Bilali, Abdeslam Taleb, M. Abdellah Bahlaoui, et al.
Journal of Hydrology (2021) Vol. 599, pp. 126510-126510
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Ali El Bilali, Taleb Abdeslam, Ayoub Nafii, et al.
Journal of Environmental Management (2022) Vol. 327, pp. 116890-116890
Closed Access | Times Cited: 99
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Chaitanya B. Pande, Johnbosco C. Egbueri, Romulus Costache, et al.
Journal of Cleaner Production (2024) Vol. 444, pp. 141035-141035
Closed Access | Times Cited: 33
Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction
Chu Zhang, Yue Zhang, Zhengbo Li, et al.
Applied Energy (2024) Vol. 359, pp. 122669-122669
Closed Access | Times Cited: 17
Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM
Jianji Ren, Zhenxi Wang, Yong Pang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101563-101563
Closed Access | Times Cited: 47
Product quality prediction method in small sample data environment
Feixiang Liu, Yiru Dai
Advanced Engineering Informatics (2023) Vol. 56, pp. 101975-101975
Closed Access | Times Cited: 27
Hybrid river stage forecasting based on machine learning with empirical mode decomposition
Salim Heddam, Dinesh Kumar Vishwakarma, Salwan Ali Abed, et al.
Applied Water Science (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 10
Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles
Yuwei Kong, Karina Jimenez, Christine Lee, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 201-201
Open Access | Times Cited: 1
A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data
Ali El Bilali, Houda Lamane, Abdeslam Taleb, et al.
Journal of Cleaner Production (2022) Vol. 368, pp. 133227-133227
Closed Access | Times Cited: 33
Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection
Mehdi Jamei, Masoud Karbasi, Omer A. Alawi, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100721-100721
Closed Access | Times Cited: 32
Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions
Linjin Sun, Yangjian Ji, Xiaoyang Zhu, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101561-101561
Closed Access | Times Cited: 29
Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
Tao Hai, Omer A. Alawi, Raad Z. Homod, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141069-141069
Closed Access | Times Cited: 7
Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
Soobin Kim, Eunhee Lee, Hyoun‐Tae Hwang, et al.
Water Research X (2024) Vol. 23, pp. 100228-100228
Open Access | Times Cited: 7
Application of machine learning in the study of cobalt-based oxide catalysts for antibiotic degradation: An innovative reverse synthesis strategy
Siyuan Jiang, Wen Xu, Qi Xia, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134309-134309
Closed Access | Times Cited: 6
A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning
Shifu Zhang, Tan Mi, Qinhuizi Wu, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154278-154278
Closed Access | Times Cited: 26
An integrated approach based on the correction of imbalanced small datasets and the application of machine learning algorithms to predict total phosphorus concentration in rivers
Manuel Almeida, Pedro Coelho
Ecological Informatics (2023) Vol. 76, pp. 102138-102138
Closed Access | Times Cited: 15
Using one-dimensional convolutional neural networks and data augmentation to predict thermal production in geothermal fields
Yunxing Yang, Yanjun Zhang, Yuxiang Cheng, et al.
Journal of Cleaner Production (2023) Vol. 387, pp. 135879-135879
Closed Access | Times Cited: 14
An Innovative Combination of Extra Trees within AdaBoost for Accurate Prediction of Agricultural Water Quality Indices
Mahmood Yousefi, Vahide Oskoei, H Esmaeli, et al.
Results in Engineering (2024) Vol. 24, pp. 103534-103534
Open Access | Times Cited: 5
Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques
Rohan Mishra, Rupanjali Singh, C. B. Majumder
Sustainable Water Resources Management (2025) Vol. 11, Iss. 1
Closed Access
Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling
Ali El Bilali, Mohammed Moukhliss, Abdeslam Taleb, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 31, pp. 47382-47398
Closed Access | Times Cited: 22
Predicting in-stream water quality constituents at the watershed scale using machine learning
Itunu Comfort Adedeji, Ebrahim Ahmadisharaf, Yanshuo Sun
Journal of Contaminant Hydrology (2022) Vol. 251, pp. 104078-104078
Open Access | Times Cited: 22
Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction
Seung Ji Lim, Moon Son, Seo Jin Ki, et al.
Bioresource Technology (2022) Vol. 370, pp. 128518-128518
Open Access | Times Cited: 21
Technology acceptance prediction of robo-advisors by machine learning
Doohee Chung, Pilwon Jeong, Donghwan Kwon, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200197-200197
Open Access | Times Cited: 12
A Meta-Ensemble Machine Learning Strategy to Assess Groundwater Holistic Vulnerability in Coastal Aquifers
Fatemeh Jafarzadeh, Asghar Asghari Moghaddam, Siamak Razzagh, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101296-101296
Closed Access | Times Cited: 4
Improving prediction of groundwater quality in situations of limited monitoring data based on virtual sample generation and Gaussian process regression
Jiang Zhang, Changlai Xiao, Weifei Yang, et al.
Water Research (2024) Vol. 267, pp. 122498-122498
Closed Access | Times Cited: 4
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
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