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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:

Prediction of suspended sediment concentration using hybrid SVM-WOA approaches
Sandeep Samantaray, Abinash Sahoo
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5609-5635
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 57
Daily flow discharge prediction using integrated methodology based on LSTM models: Case study in Brahmani-Baitarani basin
Abinash Sahoo, Swayamshu Satyapragnya Parida, Sandeep Samantaray, et al.
HydroResearch (2024) Vol. 7, pp. 272-284
Open Access | Times Cited: 16
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Prediction of groundwater fluctuation based on hybrid ANFIS-GWO approach in arid Watershed, India
Sandeep Samantaray, Chinmayee Biswakalyani, Deepak Kumar Singh, et al.
Soft Computing (2022) Vol. 26, Iss. 11, pp. 5251-5273
Closed Access | Times Cited: 25
Estimation of suspended sediment load utilizing a super-optimized deep learning approach informed by the red fox optimization algorithm
Mohammad Mahdi Malekpour, Mohammad Mehdi Ahmadi, Marcello Gugliotta, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
EFFECT OF SEASONAL-TREND DECOMPOSITION ON MACHINE LEARNING-BASED SUSPENDED SEDIMENT LOAD PREDICTION PERFORMANCE
Cihangir Köyceğiz, Meral Büyükyıldız
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 1-18
Open Access
A VMD-MSMA-LSTM-ARIMA model for precipitation prediction
Xuefei Cui, Zhaocai Wang, Renlin Pei
Hydrological Sciences Journal (2023) Vol. 68, Iss. 6, pp. 810-839
Closed Access | Times Cited: 11
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods
Saeed Samadianfard, Katayoun Kargar, Sadra Shadkani, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3033-3051
Closed Access | Times Cited: 25
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
Prediction of Bed-Load Sediment Using Newly Developed Support-Vector Machine Techniques
Sandeep Samantaray, Abinash Sahoo, Siddhartha Paul, et al.
Journal of Irrigation and Drainage Engineering (2022) Vol. 148, Iss. 10
Closed Access | Times Cited: 17
A novel feature selection using binary hybrid improved whale optimization algorithm
Mustafa Serter Uzer, Onur İnan
The Journal of Supercomputing (2023) Vol. 79, Iss. 9, pp. 10020-10045
Closed Access | Times Cited: 8
Improving accuracy of SVM for monthly sediment load prediction using Harris hawks optimization
Sandeep Samantaray, Abinash Sahoo, Deba Prakash Satapathy
Materials Today Proceedings (2022) Vol. 61, pp. 604-617
Closed Access | Times Cited: 13
Performance comparison of LS-SVM and ELM-based models for precipitation prediction in Barak valley: A case study
Abinash Sahoo, Sachidananda Behera, Nilim Sharma
AIP conference proceedings (2023)
Closed Access | Times Cited: 7
Cluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine
Wu Wei, Mengshan Li, Wu Yan, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Exploring AI approaches for predicting groundwater levels in coastal agro-climatic zones: a case study in Cuttack District, Odisha
S.K. Panda, Chittaranjan Dalai, Abinash Sahoo, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 2
Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model
Zixi Zhao, Shaotong Zhang, Jinran Wu, et al.
Journal of Hydrology (2024) Vol. 644, pp. 132100-132100
Closed Access | Times Cited: 2
Improving River Streamflow Forecasting Utilizing Multilayer Perceptron-Based Butterfly Optimization Algorithm
Abinash Sahoo, Ippili Saikrishnamacharyulu, Shaswati S. Mishra, et al.
Lecture notes in networks and systems (2023), pp. 1-11
Closed Access | Times Cited: 6
Monthly Runoff Prediction by Hybrid CNN-LSTM Model: A Case Study
Dillip K. Ghose, Vinay Mahakur, Abinash Sahoo
Communications in computer and information science (2022), pp. 381-392
Closed Access | Times Cited: 9
Flood forecasting using novel ANFIS-WOA approach in Mahanadi river basin, India
Sandeep Samantaray, Abinash Sahoo, Shaswati S. Mishra
Current directions in water scarcity research (2022), pp. 663-682
Closed Access | Times Cited: 9
Investigation on structural behavior for steel & tubes with light weight concrete using HLN aid of MKHO
Neelamegam Pitchaipillai, Suresh Kumar Paramasivam
Matéria (Rio de Janeiro) (2024) Vol. 29, Iss. 2
Open Access | Times Cited: 1
Research on Magnetic Rollers for Recovering Non-Ferrous Metals from End-of-Life Vehicles Employing Machine Learning
Youdong Jia, Jianxiong Liu, Zhengfang Li
Sustainability (2023) Vol. 15, Iss. 18, pp. 13451-13451
Open Access | Times Cited: 4
Performance Evaluation of hybrid ANFIS model for Flood Prediction
Dillip K. Ghose, Kshirabdhi Tanaya, Abinash Sahoo, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 772-777
Closed Access | Times Cited: 7
Association Rule Mining Based on Hybrid Whale Optimization Algorithm
Zhiwei Ye, Wenhui Cai, Mingwei Wang, et al.
International Journal of Data Warehousing and Mining (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 4
Application of Hybrid ANFIS-CSA Model in Suspended Sediment Load Prediction
Abinash Sahoo, Nihar Ranjan Mohanta, Sandeep Samantaray, et al.
Lecture notes in electrical engineering (2022), pp. 295-305
Closed Access | Times Cited: 4
Streamflow Forecasting Using Novel ANFIS-GWO Approach
Gopal Krishna Sahoo, Niharika Patel, Debiprasad Panda, et al.
Smart innovation, systems and technologies (2023), pp. 141-152
Closed Access | Times Cited: 2
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