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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:

Multilayer perceptron and support vector machine trained with grey wolf optimiser for predicting floods in Barak river, India
Abinash Sahoo, Sandeep Samantaray, Dillip Kumar Ghose
Journal of Earth System Science (2022) Vol. 131, Iss. 2
Closed Access | Times Cited: 17

Showing 17 citing articles:

Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm
Sandeep Samantaray, Pratik Sahoo, Abinash Sahoo, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 35, pp. 83845-83872
Closed Access | Times Cited: 30
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: 8
Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data
Rana Muhammad Adnan, Amin Mirboluki, Mojtaba Mehraein, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 205-228
Closed Access | Times Cited: 18
Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5
Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment
Vijendra Kumar, Kul Vaibhav Sharma, Nikunj K. Mangukiya, et al.
AIMS environmental science (2025) Vol. 12, Iss. 1, pp. 72-105
Open Access
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models
Okan Mert Katipoğlu, Metin Sarıgöl
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2205-2224
Closed Access | Times Cited: 10
Flood prediction with time series data mining: Systematic review
Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah
Natural Hazards Research (2023) Vol. 4, Iss. 2, pp. 194-220
Open Access | Times Cited: 10
A Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Earth s Future (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 8
Hybrid deep learning models for multi-ahead river water level forecasting
Abul Kashem, Pobithra Das, Md. Mahmudul Hasan, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3021-3037
Closed Access | Times Cited: 2
Gravity Predictions in Data-Missing Areas Using Machine Learning Methods
Yubin Liu, Yi Zhang, Qipei Pang, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4173-4173
Open Access | Times Cited: 1
Decoding spatial precipitation patterns using artificial intelligence
Nita H. Shah, Anupam Priamvada, Bipasha Paul Shukla
Spatial Information Research (2023) Vol. 32, Iss. 4, pp. 399-410
Closed Access | Times Cited: 3
Ship Path Planning Based on Buoy Offset Historical Trajectory Data
Shibo Zhou, Zhizheng Wu, Lüzhen Ren
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 5, pp. 674-674
Open Access | Times Cited: 5
Simulation of Monthly Runoff in Mahanadi Basin with W-ANN Approach
Gopal Krishna Sahoo, Aiswarya Mishra, Debi Prasad Panda, et al.
Smart innovation, systems and technologies (2023), pp. 509-517
Closed Access | Times Cited: 2
Electrical line fault prediction using a novel grey wolf optimization algorithm based on multilayer perceptron
Yufei Zhang
Advanced Control for Applications (2024) Vol. 6, Iss. 3
Closed Access
Predictive Modeling of Water Level in the San Juan River Using Hybrid Neural Networks Integrated with Kalman Smoothing Methods
Jackson B. Rentería-Mena, Eduardo Giraldo
Information (2024) Vol. 15, Iss. 12, pp. 754-754
Open Access
Hybrid chaotic whale-shark optimization algorithm to improve artificial neural network: application to the skin neglected tropical diseases diagnosis
Nyatte Steyve, Salomé Essiane Ndjakomo, Steve Perabi, et al.
International Journal of Advanced Computer Research (2023) Vol. 13, Iss. 63
Open Access
Research on Runoff Flow Prediction Based on Variational Mode Decomposition and PSO-SVM Model
Ping Zhou, Dongwei Yang, Rongxin Wang, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 3770-3775
Closed Access
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