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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 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: 32

Showing 1-25 of 32 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: 95
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 56
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 55
Water Quality Inversion of a Typical Rural Small River in Southeastern China Based on UAV Multispectral Imagery: A Comparison of Multiple Machine Learning Algorithms
Yujie Chen, Ke Yao, Beibei Zhu, et al.
Water (2024) Vol. 16, Iss. 4, pp. 553-553
Open Access | Times Cited: 9
Machine learning-based prediction of biological oxygen demand and unit electricity consumption in different-scale wastewater treatment plants
Gang Ye, Jinquan Wan, Zhicheng Deng, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 111849-111849
Closed Access | Times Cited: 8
Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network
Qian Liu, He Li, Long Guo, et al.
CATENA (2022) Vol. 219, pp. 106603-106603
Open Access | Times Cited: 29
Prediction of groundwater level variations using deep learning methods and GMS numerical model
Siamak Amiri, Ahmad Rajabi, Saeid Shabanlou, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3227-3241
Closed Access | Times Cited: 21
Estimation of water quality variables based on machine learning model and cluster analysis-based empirical model using multi-source remote sensing data in inland reservoirs, South China
Di Tian, Xinfeng Zhao, Lei Gao, et al.
Environmental Pollution (2023) Vol. 342, pp. 123104-123104
Closed Access | Times Cited: 16
Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis
Md Hibjur Rahaman, Haroon Sajjad, Shabina Hussain, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112915-112915
Closed Access | Times Cited: 7
Research progress in water quality prediction based on deep learning technology: a review
Wenhao Li, Yin Zhao, Yining Zhu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 18, pp. 26415-26431
Closed Access | Times Cited: 4
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wanxin Yin, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174469-174469
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
Geochemical and isotopic studies of the Douda-Damerjogue aquifer (Republic of Djibouti): Origin of high nitrate and fluoride, spatial distribution, associated health risk assessment and prediction of water quality using machine learning
M.O. Awaleh, Tiziano Boschetti, Christelle Marlin, et al.
The Science of The Total Environment (2025) Vol. 967, pp. 178789-178789
Closed Access
Controlling Minor Element Phosphorus in Green Electric Steelmaking Using Neural Networks
Elmira Moosavi‐Khoonsari, Riadh Azzaz, Valentin Hurel, et al.
˜The œminerals, metals & materials series (2025), pp. 297-305
Closed Access
Predicting distribution coefficient and effective diffusion coefficient of radionuclides in bentonite: multi-output neural network simulation and diffusion experimental study
Jiaxing Feng, Xuemei Gao, Ke Xu, et al.
Journal of Hazardous Materials (2025) Vol. 490, pp. 137787-137787
Closed Access
Advanced Deep Learning Model for Predicting Water Pollutants Using Spectral Data and Augmentation Techniques: A Case Study of the Middle and Lower Yangtze River, China
Gengxin Zhang, Cailing Wang, Hongwei Wang, et al.
Process Safety and Environmental Protection (2025), pp. 107058-107058
Closed Access
Simulation of Spatial and Temporal Distribution of Forest Carbon Stocks in Long Time Series—Based on Remote Sensing and Deep Learning
Xiaoyong Zhang, Weiwei Jia, Yuman Sun, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 483-483
Open Access | Times Cited: 11
Quantifying soil erosion and influential factors in Guwahati's urban watershed using statistical analysis, machine and deep learning
Ishita Afreen Ahmed, Swapan Talukdar, Mirza Razi Imam Baig, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101088-101088
Closed Access | Times Cited: 11
Virtual sample generation empowers machine learning-based effluent prediction in constructed wetlands
Qiyu Dong, Shunwen Bai, Zhen Wang, et al.
Journal of Environmental Management (2023) Vol. 346, pp. 118961-118961
Closed Access | Times Cited: 10
Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability
Ali El Bilali, Youssef Brouziyne, Oumaima Attar, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 34, pp. 47237-47257
Closed Access | Times Cited: 3
An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment
Ayoub Nafii, Houda Lamane, Abdeslam Taleb, et al.
MethodsX (2023) Vol. 10, pp. 102034-102034
Open Access | Times Cited: 7
Digital soil mapping of heavy metals using multiple geospatial data: Feature identification and deep neural network
Qian Liu, Bin Du, He Li, et al.
Ecological Indicators (2023) Vol. 154, pp. 110863-110863
Open Access | Times Cited: 7
A CNN–LSTM Machine-Learning Method for Estimating Particulate Organic Carbon from Remote Sensing in Lakes
Banglong Pan, Hanming Yu, Hongwei Cheng, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 13043-13043
Open Access | Times Cited: 5
Application of Deep Learning Techniques to Predict the Mechanical Strength of Al-Steel Explosive Clads
S. Saravanan, K. Kumararaja, Krishnamurthy Raghukandan
Metals (2023) Vol. 13, Iss. 2, pp. 373-373
Open Access | Times Cited: 4
Feature multi-level attention spatio-temporal graph residual network: A novel approach to ammonia nitrogen concentration prediction in water bodies by integrating external influences and spatio-temporal correlations
Hongqing Wang, Lifu Zhang, Hongying Zhao, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167591-167591
Closed Access | Times Cited: 4
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