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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 simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment
Ashish Kumar, RAAJ Ramsankaran, Luca Brocca, et al.
Journal of Hydrology (2021) Vol. 595, pp. 126046-126046
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling
Keighobad Jafarzadegan, Hamid Moradkhani, Florian Pappenberger, et al.
Reviews of Geophysics (2023) Vol. 61, Iss. 2
Open Access | Times Cited: 64
Artificial intelligence for geoscience: Progress, challenges and perspectives
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 47
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130846-130846
Closed Access | Times Cited: 21
Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
Wenxin Xu, Jie Chen, Gerald Corzo, et al.
Water Resources Research (2024) Vol. 60, Iss. 2
Open Access | Times Cited: 16
A refined method for the simulation of catchment rainfall–runoff based on satellite–precipitation downscaling
Jihao Jian, Siming He, Wei Liu, et al.
Journal of Hydrology (2025) Vol. 653, pp. 132795-132795
Closed Access | Times Cited: 1
Evaluation of an urban drainage system and its resilience using remote sensing and GIS
Guru Chythanya Guptha, Sabyasachi Swain, Nadhir Al‐Ansari, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 23, pp. 100601-100601
Closed Access | Times Cited: 74
Combining two-stage decomposition based machine learning methods for annual runoff forecasting
Shu Chen, Miaomiao Ren, Wei Sun
Journal of Hydrology (2021) Vol. 603, pp. 126945-126945
Closed Access | Times Cited: 56
Past, present and future of the applications of machine learning in soil science and hydrology
Xiangwei Wang, Yizhe Yang, Jianglong Lv, et al.
Soil and Water Research (2023) Vol. 18, Iss. 2, pp. 67-80
Open Access | Times Cited: 19
Coupling machine learning and physical modelling for predicting runoff at catchment scale
Sergio Zubelzu, Abdulmomen Ghalkha, Chaouki Ben Issaid, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120404-120404
Open Access | Times Cited: 6
A spatially promoted SVM model for GRACE downscaling: Using ground and satellite-based datasets
Hamed Yazdian, Narjes Salmani-Dehaghi, Mohammadali Alijanian
Journal of Hydrology (2023) Vol. 626, pp. 130214-130214
Closed Access | Times Cited: 15
Rainfall-Runoff Simulation in Ungauged Tributary Streams Using Drainage Area Ratio-Based Multivariate Adaptive Regression Spline and Random Forest Hybrid Models
Babak Vaheddoost, Mir Jafar Sadegh Safari, Mustafa Utku Yılmaz
Pure and Applied Geophysics (2023) Vol. 180, Iss. 1, pp. 365-382
Closed Access | Times Cited: 13
Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco
Bouchra Bargam, Abdelghani Boudhar, Christophe Kinnard, et al.
Deleted Journal (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 4
A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access
Bias learning improves data driven models for streamflow prediction
Yongen Lin, Dagang Wang, Meng Yue, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101557-101557
Open Access | Times Cited: 11
Satellite Data Applications for Sustainable Energy Transitions
Morgan R. Edwards, Tracey Holloway, R. B. Pierce, et al.
Frontiers in Sustainability (2022) Vol. 3
Open Access | Times Cited: 15
Hybrid Data-Driven Models for Hydrological Simulation and Projection on the Catchment Scale
Salem Gharbia, Khurram Riaz, Iulia Anton, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4037-4037
Open Access | Times Cited: 12
A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin
Mohammed Abdallah, Ke Zhang, Lijun Chao, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 5, pp. 1147-1172
Open Access | Times Cited: 2
Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India
Deen Dayal, Ashish Pandey, Praveen Kumar Gupta, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 2
Modeling river flow for flood forecasting: A case study on the Ter river
Fabián Serrano-López, Sergi Ger-Roca, María Salamó, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100181-100181
Open Access | Times Cited: 2
Estimating streamflow of the Kızılırmak River, Turkey with single- and multi-station datasets using Random Forests
Mustafa Sahin Dogan
Water Science & Technology (2023) Vol. 87, Iss. 11, pp. 2742-2755
Open Access | Times Cited: 6
Near real-time flood inundation and hazard mapping of Baitarani River Basin using Google Earth Engine and SAR imagery
Bobbili Aravind Sai Atchyuth, Ratnakar Swain, Pulakesh Das
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 11
Open Access | Times Cited: 6
Prediction of the groundwater quality index through machine learning in Western Middle Cheliff plain in North Algeria
Yamina Elmeddahi, R. Ragab
Acta Geophysica (2022) Vol. 70, Iss. 4, pp. 1797-1814
Closed Access | Times Cited: 10
Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability
Parisa Sarzaeim, Francisco Muñoz‐Arriola, Diego Jarquín
Journal of Experimental Botany (2022) Vol. 73, Iss. 15, pp. 5336-5354
Open Access | Times Cited: 9
A spatiotemporal graph convolution-based model for daily runoff prediction in a river network with non-Euclidean topological structure
Liangkun Deng, Xiang Zhang, Shiyong Tao, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 4, pp. 1457-1478
Closed Access | Times Cited: 9
Near-real-time forecasting of reservoir inflows using explainable machine learning and short-term weather forecasts
Kallem Sushanth, Ashok Mishra, P. Mukhopadhyay, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 10, pp. 3945-3965
Closed Access | Times Cited: 5
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