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:
Streamflow forecasting for the Hunza river basin using ANN, RNN, and ANFIS models
Mehran Khan, Afed Ullah Khan, Jehanzeb Khan, et al.
Water Practice & Technology (2023) Vol. 18, Iss. 5, pp. 981-993
Open Access | Times Cited: 14
Mehran Khan, Afed Ullah Khan, Jehanzeb Khan, et al.
Water Practice & Technology (2023) Vol. 18, Iss. 5, pp. 981-993
Open Access | Times Cited: 14
Showing 14 citing articles:
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship
Namal Rathnayake, Upaka Rathnayake, Imiya M. Chathuranika, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110722-110722
Closed Access | Times Cited: 16
Namal Rathnayake, Upaka Rathnayake, Imiya M. Chathuranika, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110722-110722
Closed Access | Times Cited: 16
Intercomparison of SWAT and ANN techniques in simulating streamflows in the Astore Basin of the Upper Indus
Sunaid Khan, Afed Ullah Khan, Mehran Khan, et al.
Water Science & Technology (2023) Vol. 88, Iss. 7, pp. 1847-1862
Open Access | Times Cited: 15
Sunaid Khan, Afed Ullah Khan, Mehran Khan, et al.
Water Science & Technology (2023) Vol. 88, Iss. 7, pp. 1847-1862
Open Access | Times Cited: 15
An Innovative Neural Network Approach for Reducing Emissions from Gas Turbines
Atanu Roy, Sabyasachi Pramanik, Kalyan Mitra, et al.
Lecture notes in networks and systems (2025), pp. 43-58
Closed Access
Atanu Roy, Sabyasachi Pramanik, Kalyan Mitra, et al.
Lecture notes in networks and systems (2025), pp. 43-58
Closed Access
Peak flow forecasting in Mahanadi River Basin using a novel hybrid VMD-FFA-RNN approach
Sanjeev Sharma, Sangeeta Kumari
Acta Geophysica (2025)
Closed Access
Sanjeev Sharma, Sangeeta Kumari
Acta Geophysica (2025)
Closed Access
Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change
Veysi Kartal
Hydrological Processes (2024) Vol. 38, Iss. 6
Open Access | Times Cited: 2
Veysi Kartal
Hydrological Processes (2024) Vol. 38, Iss. 6
Open Access | Times Cited: 2
Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective
Mehran Khan, Afed Ullah Khan, Sunaid Khan, et al.
Water Science & Technology (2023) Vol. 88, Iss. 9, pp. 2309-2331
Open Access | Times Cited: 7
Mehran Khan, Afed Ullah Khan, Sunaid Khan, et al.
Water Science & Technology (2023) Vol. 88, Iss. 9, pp. 2309-2331
Open Access | Times Cited: 7
Advanced hybrid neural network techniques for minimizing gas turbine emissions
Atanu Roy, Sabyasachi Pramanik, Kalyan Mitra, et al.
World Journal of Engineering (2024)
Closed Access | Times Cited: 1
Atanu Roy, Sabyasachi Pramanik, Kalyan Mitra, et al.
World Journal of Engineering (2024)
Closed Access | Times Cited: 1
Basin-Scale Streamflow Projections for Greater Pamba River Basin, India Integrating GCM Ensemble Modelling and Flow Accumulation-Weighted LULC Overlay in Deep Learning Environment
Arathy Nair Geetha Raveendran Nair, Shamla Dilama Shamsudeen, Meera G. Mohan, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14148-14148
Open Access | Times Cited: 4
Arathy Nair Geetha Raveendran Nair, Shamla Dilama Shamsudeen, Meera G. Mohan, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14148-14148
Open Access | Times Cited: 4
Enhanced variational mode decomposition with deep learning SVM kernels for river streamflow forecasting
S. N. Deepa, N. Natarajan, M. Berlin
Environmental Earth Sciences (2023) Vol. 82, Iss. 22
Closed Access | Times Cited: 4
S. N. Deepa, N. Natarajan, M. Berlin
Environmental Earth Sciences (2023) Vol. 82, Iss. 22
Closed Access | Times Cited: 4
Modeling the effect of meteorological variables on streamflow estimation: application of data mining techniques in mixed rainfall–snowmelt regime Munzur River, Türkiye
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96312-96328
Closed Access | Times Cited: 3
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96312-96328
Closed Access | Times Cited: 3
Modelagem de redes neurais artificiais MLP para previsão de vazões na bacia do rio Miranda afluente do Pantanal
Christian Pascal Silva Bouix
(2024)
Open Access
Christian Pascal Silva Bouix
(2024)
Open Access
Flood inundation mapping under climate change scenarios: insights from CMIP6
Hazrat Younus Sadiqzai, Afed Ullah Khan, Fayaz Ahmad Khan, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2419-2441
Open Access
Hazrat Younus Sadiqzai, Afed Ullah Khan, Fayaz Ahmad Khan, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2419-2441
Open Access
AnFiS-MoH: Systematic exploration of hybrid ANFIS frameworks via metaheuristic optimization hybridization with evolutionary and swarm-based algorithms
Haoyu Wang, Bin Chen, Hangling Sun, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112334-112334
Closed Access
Haoyu Wang, Bin Chen, Hangling Sun, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112334-112334
Closed Access
Advanced Hybrid Neural Network Techniques for Minimizing Gas Turbine Emissions
ATANU ROY, Sabyasachi Pramanik, K. Mitra, et al.
(2023)
Closed Access
ATANU ROY, Sabyasachi Pramanik, K. Mitra, et al.
(2023)
Closed Access
