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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:

Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams
Behzad Ghiasi, Roohollah Noori, Hossein Sheikhian, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 148
Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model
James Donnelly, Soroush Abolfathi, Jonathan Pearson, et al.
Water Research (2022) Vol. 225, pp. 119100-119100
Open Access | Times Cited: 101
Environmental Risk Assessment of Wetland Ecosystems Using Bayesian Belief Networks
Bahram Malekmohammadi, Cíntia Bertacchi Uvo, Negar Tayebzadeh Moghadam, et al.
Hydrology (2023) Vol. 10, Iss. 1, pp. 16-16
Open Access | Times Cited: 56
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
Marine waters assessment using improved water quality model incorporating machine learning approaches
Md Galal Uddin, Azizur Rahman, Stephen Nash, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118368-118368
Open Access | Times Cited: 54
Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms
M. A. Habib, John O’Sullivan, Soroush Abolfathi, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289318-e0289318
Open Access | Times Cited: 40
Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md Moniruzzaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102514-102514
Open Access | Times Cited: 32
Efficient data-driven machine learning models for scour depth predictions at sloping sea defences
M. A. Habib, Soroush Abolfathi, John O’Sullivan, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 23
Daily River flow Simulation Using Ensemble Disjoint Aggregating M5-Prime Model
Khabat Khosravi, Nasrin Fathollahzadeh Attar, Sayed M. Bateni, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e37965-e37965
Open Access | Times Cited: 17
Novel Groundwater Quality Index (GWQI) model: A Reliable Approach for the Assessment of Groundwater
Abdul Majed Sajib, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Results in Engineering (2025), pp. 104265-104265
Open Access | Times Cited: 1
Assessing long-term climate change impact on spatiotemporal changes of groundwater level using autoregressive-based and ensemble machine learning models
Vahid Nourani, Ali Hasanpour Ghareh Tapeh, Kasra Khodkar, et al.
Journal of Environmental Management (2023) Vol. 336, pp. 117653-117653
Closed Access | Times Cited: 30
Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem
Anass Akrim, Christian Gogu, Rob Vingerhoeds, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105837-105837
Open Access | Times Cited: 24
Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods
F. Sabzehee, Alireza Amiri-Simkooei, Siavash Iran Pour, et al.
Journal of Environmental Management (2023) Vol. 330, pp. 117180-117180
Open Access | Times Cited: 23
Hybrid machine learning models for prediction of daily dissolved oxygen
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 22
Deep Machine Learning-Based Water Level Prediction Model for Colombo Flood Detention Area
Madhawa Herath, Tharaka Jayathilaka, Yukinobu Hoshino, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2194-2194
Open Access | Times Cited: 21
Assessing water quality index and health risk using deterministic and probabilistic approaches in Darab County, Iran; A machine learning for fluoride prediction
Amin Mohammadpour, Mahsa Keshtkar, Mohammad Reza Samaei, et al.
Chemosphere (2024) Vol. 352, pp. 141284-141284
Closed Access | Times Cited: 12
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 11
Application of response surface and artificial neural network optimization approaches for exploring methylene blue adsorption using luffa fiber treated with sodium chlorite
L. Natrayan, V. R. Niveditha, V. Swamy Nadh, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104778-104778
Closed Access | Times Cited: 9
Prediction of purified water quality in industrial hydrocarbon wastewater treatment using an artificial neural network and response surface methodology
Nour El Houda Mellal, Wafa Tahar, Messaouda Boumaaza, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104757-104757
Closed Access | Times Cited: 9
Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages
Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, et al.
IEEE Access (2024) Vol. 12, pp. 35754-35764
Open Access | Times Cited: 9
Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach
Md Galal Uddin, M. M. Shah Porun Rana, Mir Talas Mahammad Diganta, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33082-e33082
Open Access | Times Cited: 8
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khabat Khosravi, Aitazaz A. Farooque, Seyed Amir Naghibi, et al.
Ecological Informatics (2024) Vol. 85, pp. 102933-102933
Open Access | Times Cited: 8
Overloading risk assessment of water environment-water resources carrying capacity based on a novel Bayesian methodology
Li‐Ting Wang, Weihua Zeng, Ruoxin Cao, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129697-129697
Closed Access | Times Cited: 20
Multi-decadal change in summer mean water temperature in Lake Konnevesi, Finland (1984–2021)
Roohollah Noori, R. Iestyn Woolway, Changhyun Jun, et al.
Ecological Informatics (2023) Vol. 78, pp. 102331-102331
Open Access | Times Cited: 19
Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology
João Vitor Rios Fuck, Maria Alice Prado Cechinel, Juliana Neves, et al.
Chemosphere (2024) Vol. 352, pp. 141472-141472
Closed Access | Times Cited: 6
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