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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:

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

Showing 15 citing articles:

Optimizing Photocatalytic Dye Degradation: A Machine Learning and Metaheuristic Approach for Predicting Methylene Blue in Contaminated Water
Yunus Ahmed, Krishna Dutta, Sharmin Nahar Chowdhury Nepu, et al.
Results in Engineering (2024), pp. 103538-103538
Open Access | Times Cited: 8
Comparative assessment of rainfall-based water level prediction using machine learning (ML) techniques
Azazkhan Ibrahimkhan Pathan, Lariyah Mohd Sidek, Hidayah Basri, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 7, pp. 102854-102854
Open Access | Times Cited: 4
Divergent path: isolating land use and climate change impact on river runoff
Saqib Mahmood, Afed Ullah Khan, Muhammad Babur, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 2
Impact of climate change on water resource potential and sediment yield of the Gibe III watershed, Omo-Gibe Basin, Ethiopia
Abiy Gebremichael, Asfaw Kebede, Yali E. Woyessa
Journal of Water and Climate Change (2024) Vol. 15, Iss. 3, pp. 902-920
Open Access | Times Cited: 2
Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
Yilak Taye Bihon, Tarun Kumar Lohani, Abebe Temesgen Ayalew, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting
Osama A. Abozweita, Ali Najah Ahmed, Lariyah Mohd Sidek, et al.
Journal of Hydroinformatics (2024)
Open Access | Times Cited: 2
Evaluating Future Streamflow Patterns under SSP245 Scenarios: Insights from CMIP6
Kashif Haleem, Afed Ullah Khan, Jehanzeb Khan, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 16117-16117
Open Access | Times Cited: 6
Hydrological responses projection to the potential impact of climate change under CMIP6 models scenarios in Omo River Basin, Ethiopia
Tolera Abdissa Feyissa, Tamene Adugna Demissie, Fokke Saathoff, et al.
Results in Engineering (2024) Vol. 23, pp. 102708-102708
Open Access | Times Cited: 1
Enhancing Streamflow Simulations with Gated Recurrent Units Deep Learning Models in the Flood Prone Region with Low-Convergence Streamflow Data
Aliakbar Karamvand, Seyed Abbas Hosseini, Seyed Ali Azizi
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103737-103737
Closed Access | Times Cited: 1
Regression model optimization using least square algorithms for streamflow data transposition in tropical humid Water Basin
Benjamin Nnamdi Ekwueme
HydroResearch (2024) Vol. 7, pp. 257-271
Open Access
Assessment of climate change impact on inflows to Amandara headwork using HEC-HMS and ANNs
Haider Ali Hassaan, Ateeq ur Rauf, Abdul Razzaq Ghumman, et al.
Deleted Journal (2024)
Open Access
Numerical Simulation of Terrain-Adaptive Wind Field Model Under Complex Terrain Conditions
Xiangqian Wei, Yi Liu, Xinyu Chang, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2138-2138
Open Access
Flow field reconstruction of trash rack based on generative adversarial networks
Ganggui Guo, Yakun Liu, Di Zhang, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 2070-2084
Closed Access
Intercomparison of Swat and Lstm Models in Simulating Streamflow
Basit Nawaz, Fayaz Ahmad Khan, Afed Ullah Khan, et al.
(2024)
Closed Access
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