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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 stacked machine learning model for multi-step ahead prediction of lake surface water temperature
Fabio Di Nunno, Senlin Zhu, Mariusz Ptak, et al.
The Science of The Total Environment (2023) Vol. 890, pp. 164323-164323
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
Zhaocai Wang, Qingyu Wang, Zhixiang Liu, et al.
Journal of Hydrology (2024) Vol. 629, pp. 130637-130637
Closed Access | Times Cited: 63
Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig, et al.
Reviews of Geophysics (2024) Vol. 62, Iss. 1
Open Access | Times Cited: 36
The impact of extreme heat on lake warming in China
Weijia Wang, Kun� Shi, Xiwen Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters
Majid Niazkar, Reza Piraei, Mohammad Reza Goodarzi, et al.
Environmental Processes (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108887-108887
Closed Access | Times Cited: 13
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers
Senlin Zhu, Fabio Di Nunno, Jiang Sun, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171954-171954
Closed Access | Times Cited: 10
Prediction of daily river water temperatures using an optimized model based on NARX networks
Jiang Sun, Fabio Di Nunno, Mariusz Sojka, et al.
Ecological Indicators (2024) Vol. 161, pp. 111978-111978
Open Access | Times Cited: 10
A Multi‐Model Ensemble of Baseline and Process‐Based Models Improves the Predictive Skill of Near‐Term Lake Forecasts
Freya Olsson, Tadhg N. Moore, Cayelan C. Carey, et al.
Water Resources Research (2024) Vol. 60, Iss. 3
Open Access | Times Cited: 9
Thermal stratification and mixing of dam reservoirs in Iran
Roohollah Noori, Mojtaba Noury, Maryam Khalilzadeh Poshtegal, et al.
Watershed Ecology and the Environment (2024) Vol. 6, pp. 138-145
Open Access | Times Cited: 9
Dissolved Oxygen Forecasting in the Mississippi River: Advanced Ensemble Machine Learning Models
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Environmental Science Advances (2024) Vol. 3, Iss. 11, pp. 1537-1551
Open Access | Times Cited: 8
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave
Senlin Zhu, Fabio Di Nunno, Mariusz Ptak, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167121-167121
Closed Access | Times Cited: 16
Historical and projected response of Southeast Asian lakes surface water temperature to warming climate
S. Virdis, Siwat Kongwarakom, Liew Juneng, et al.
Environmental Research (2024) Vol. 247, pp. 118412-118412
Open Access | Times Cited: 5
Applying the Deep Learning Techniques to Solve Classification Tasks Using Gene Expression Data
Sergii Babichev, Igor Liakh, Irina Kalinina
IEEE Access (2024) Vol. 12, pp. 28437-28448
Open Access | Times Cited: 5
Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra river Basin, Central Europe
Jiang Sun, Fabio Di Nunno, Mariusz Sojka, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101916-101916
Open Access | Times Cited: 5
Accurate estimation of suspended sediment concentration integrated remote sensing information and a novel stacking machine learning model
Xiaotian Fang, Jiahua Zhang, Xiang Yu, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Open Access
Improving short-term forecasting of surface dust concentration in Northern China: Integrating machine learning with multi-numerical models
Ziwei Yi, Zhaoliang Zeng, Yaqiang Wang, et al.
Atmospheric Pollution Research (2025), pp. 102480-102480
Closed Access
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT
Salim Heddam, Khaled Merabet, Salah Difi, et al.
Ecological Informatics (2023) Vol. 78, pp. 102376-102376
Closed Access | Times Cited: 12
Warming surface and Lake heatwaves as key drivers to harmful algal Blooms: A case study of Lake Dianchi, China
Zhongzhao Duan, Wei Gao, Guowei Cheng, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130971-130971
Closed Access | Times Cited: 4
Impact of climate change on the Vrana Lake surface water temperature in Croatia using support vector regression
Željka Brkić, Ozren Larva
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101858-101858
Open Access | Times Cited: 4
What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge
Freya Olsson, Cayelan C. Carey, Carl Boettiger, et al.
Ecological Applications (2025) Vol. 35, Iss. 1
Open Access
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101042-101042
Closed Access | Times Cited: 11
What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge
Freya Olsson, Cayelan C. Carey, Carl Boettiger, et al.
Authorea (Authorea) (2024)
Open Access | Times Cited: 3
Multi-step ahead dissolved oxygen concentration prediction based on knowledge guided ensemble learning and explainable artificial intelligence
Tunhua Wu, Zhaocai Wang, Jinghan Dong, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131297-131297
Closed Access | Times Cited: 3
A long-term multivariate time series prediction model for dissolved oxygen
Jingzhe Hu, Peixuan Wang, Dashe Li, et al.
Ecological Informatics (2024) Vol. 82, pp. 102695-102695
Open Access | Times Cited: 3
Machine learning-based modeling of surface water temperature dynamics in arctic lakes
Hyung Il Kim, Dongkyun Kim, Mohammad Milad Salamattalab, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
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