
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:
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Showing 10 citing articles:
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: 14
Khabat Khosravi, Nasrin Fathollahzadeh Attar, Sayed M. Bateni, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e37965-e37965
Open Access | Times Cited: 14
Streamflow prediction using Long Short-Term Memory networks: a case study at the Kratie Hydrological Station, Mekong River Basin
Nhu Y Nguyen, Dinh Kha Dang, Luu Van Ninh, et al.
Journal of Hydroinformatics (2025)
Open Access
Nhu Y Nguyen, Dinh Kha Dang, Luu Van Ninh, et al.
Journal of Hydroinformatics (2025)
Open Access
Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods
Yue Zhang, Zimo Zhou, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1284-1284
Open Access | Times Cited: 4
Yue Zhang, Zimo Zhou, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1284-1284
Open Access | Times Cited: 4
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 3
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 3
Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China
Haijiao Yu, Linshan Yang, Qi Feng, et al.
Hydrological Sciences Journal (2024) Vol. 69, Iss. 11, pp. 1501-1522
Closed Access | Times Cited: 2
Haijiao Yu, Linshan Yang, Qi Feng, et al.
Hydrological Sciences Journal (2024) Vol. 69, Iss. 11, pp. 1501-1522
Closed Access | Times Cited: 2
Predicting rainfall using machine learning, deep learning, and time series models across an altitudinal gradient in the North-Western Himalayas
Owais Ali Wani, Syed Sheraz Mahdi, Md Yeasin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Owais Ali Wani, Syed Sheraz Mahdi, Md Yeasin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 1
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 1
Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow
Rana Muhammad Adnan, Reham R. Mostafa, Mo Wang, et al.
Journal of Hydrology (2024) Vol. 650, pp. 132496-132496
Closed Access
Rana Muhammad Adnan, Reham R. Mostafa, Mo Wang, et al.
Journal of Hydrology (2024) Vol. 650, pp. 132496-132496
Closed Access
Soil temperature estimation at different depths using machine learning paradigms based on meteorological data
Anurag Malik, Gadug Sudhamsu, Manjinder Kaur Wratch, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access
Anurag Malik, Gadug Sudhamsu, Manjinder Kaur Wratch, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
Arvin Samadi-Koucheksaraee, Xuefeng Chu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Arvin Samadi-Koucheksaraee, Xuefeng Chu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access