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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:

Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 51
Alternate pathway for regional flood frequency analysis in data-sparse region
Nikunj K. Mangukiya, Ashutosh Sharma
Journal of Hydrology (2024) Vol. 629, pp. 130635-130635
Closed Access | Times Cited: 23
Novel approach for the LULC change detection using GIS & Google Earth Engine through spatiotemporal analysis to evaluate the urbanization growth of Ahmedabad city
Anant Patel, Daivee Vyas, Nirali Chaudhari, et al.
Results in Engineering (2024) Vol. 21, pp. 101788-101788
Open Access | Times Cited: 21
River stream flow prediction through advanced machine learning models for enhanced accuracy
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, et al.
Results in Engineering (2024) Vol. 22, pp. 102215-102215
Open Access | Times Cited: 20
Optimizing feature selection with gradient boosting machines in PLS regression for predicting moisture and protein in multi-country corn kernels via NIR spectroscopy
Runyu Zheng, Yuyao Jia, Chidanand Ullagaddi, et al.
Food Chemistry (2024) Vol. 456, pp. 140062-140062
Open Access | Times Cited: 20
An integration of geospatial and fuzzy-logic techniques for multi-hazard mapping
Mausmi Gohil, Darshan Mehta, Mohamedmaroof Shaikh
Results in Engineering (2024) Vol. 21, pp. 101758-101758
Open Access | Times Cited: 16
Urban inundation rapid prediction method based on multi-machine learning algorithm and rain pattern analysis
Guangzhao Chen, Jingming Hou, Yuan Liu, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131059-131059
Closed Access | Times Cited: 16
Reconstructing Long-Term Daily Streamflow Data at the Discontinuous Monitoring Station in the Ungauged Transboundary Basin Using Machine Learning
Vinh Ngoc Tran, Thi Thuy Hang Nguyen, Hai Van Khuong, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 2
Improving flood forecasting in Narmada river basin using hierarchical clustering and hydrological modelling
Darshan Mehta, Jay Dhabuwala, S. M. Yadav, et al.
Results in Engineering (2023) Vol. 20, pp. 101571-101571
Open Access | Times Cited: 36
Simulating the Hydrological Processes under Multiple Land Use/Land Cover and Climate Change Scenarios in the Mahanadi Reservoir Complex, Chhattisgarh, India
Shashikant Verma, Mani Kant Verma, A. D. Prasad, et al.
Water (2023) Vol. 15, Iss. 17, pp. 3068-3068
Open Access | Times Cited: 30
Optimization of 2024-T3 Aluminum Alloy Friction Stir Welding Using Random Forest, XGBoost, and MLP Machine Learning Techniques
Piotr Myśliwiec, Andrzej Kubit, Paulina Szawara
Materials (2024) Vol. 17, Iss. 7, pp. 1452-1452
Open Access | Times Cited: 15
Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning transfer learning
Fatemeh Ghobadi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Doosun Kang
Journal of Hydrology (2024) Vol. 631, pp. 130772-130772
Closed Access | Times Cited: 14
Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities
Vijendra Kumar, Kul Vaibhav Sharma, Quoc Bao Pham, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 4251-4288
Closed Access | Times Cited: 10
Enhanced machine learning models development for flash flood mapping using geospatial data
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1087-1107
Closed Access | Times Cited: 9
Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais
Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, et al.
Infrastructures (2025) Vol. 10, Iss. 1, pp. 12-12
Open Access | Times Cited: 1
Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model
Shoukat Ali Shah, Songtao Ai, Huanxin Yuan
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
A hybrid Two Stage Taguchi-Regression-NSGA II-AHP-GRA, Multi-Objective Optimization Framework for Sustainable Straight Slot Milling of AZ31 Magnesium Alloy
M. Atif Saeed, Faraz Junejo, Imran Amin, et al.
Results in Engineering (2025) Vol. 25, pp. 104451-104451
Open Access | Times Cited: 1
A Comparison of Machine Learning Models for Predicting Rainfall in Urban Metropolitan Cities
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13724-13724
Open Access | Times Cited: 22
Optimizing flood predictions by integrating LSTM and physical-based models with mixed historical and simulated data
Jun Li, Guofang Wu, Yongpeng Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33669-e33669
Open Access | Times Cited: 8
Performance of machine learning models to forecast PM10 levels
Lakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, et al.
MethodsX (2024) Vol. 12, pp. 102557-102557
Open Access | Times Cited: 6
Data-driven reduced-order modeling for nonlinear aerodynamics using an autoencoder neural network
Abhijith Moni, Weigang Yao, Hossein Malekmohamadi
Physics of Fluids (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 5
Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework
Rishith Kumar Vogeti, Rahul Jauhari, Bhavesh Rahul Mishra, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 2, pp. 832-848
Open Access | Times Cited: 5
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: 5
Two-stage meta-ensembling machine learning model for enhanced water quality forecasting
Sepideh Heydari, Mohammad Reza Nikoo, Ali Mohammadi, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131767-131767
Closed Access | Times Cited: 5
BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes
Thanadol Tuntiwongwat, Sippawit Thammawiset, Thongchai Srinophakun, et al.
Energy and AI (2024) Vol. 18, pp. 100414-100414
Open Access | Times Cited: 5
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