Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India
Abinash Sahoo, Sandeep Samantaray, Siddhartha Paul
H2Open Journal (2021) Vol. 4, Iss. 1, pp. 137-156
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Rana Muhammad Adnan, Reham R. Mostafa, Özgür Kişi, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107379-107379
Closed Access | Times Cited: 170
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
Dipankar Ruidas, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 94
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 64
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
Sandeep Samantaray, Abinash Sahoo
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101178-101178
Closed Access | Times Cited: 22
Quantifying pluvial flood simulation in ungauged urban area; A case study of 2022 unprecedented pluvial flood in Karachi, Pakistan
Umair Rasool, Xinan Yin, Zongxue Xu, et al.
Journal of Hydrology (2025), pp. 132905-132905
Closed Access | Times Cited: 2
RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN
Abinash Sahoo, Dillip Kumar Ghose
Soft Computing (2022) Vol. 26, Iss. 12, pp. 5919-5936
Closed Access | Times Cited: 42
Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis
Md Hibjur Rahaman, Haroon Sajjad, Shabina Hussain, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112915-112915
Closed Access | Times Cited: 9
Enhancing Flood Risk Mitigation by Advanced Data-Driven Approach
Ali S. Chafjiri, Mohammad Gheibi, Benyamin Chahkandi, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37758-e37758
Open Access | Times Cited: 9
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: 26
Prediction of reservoir evaporation considering water temperature and using ANFIS hybridized with metaheuristic algorithms
Boudjerda Marouane, Mu’azu Mohammed Abdullahi, Andrea Petroselli‬
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1779-1798
Closed Access | Times Cited: 5
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
Bootstrap approach for quantifying the uncertainty in modeling of the water quality index using principal component analysis and artificial intelligence
Chawisa Chawishborwornworng, Santamon Luanwuthi, Chakkrit Umpuch, et al.
Journal of the Saudi Society of Agricultural Sciences (2023) Vol. 23, Iss. 1, pp. 17-33
Open Access | Times Cited: 11
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: 11
Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 2
Open Access
Regional Flood Frequency Analysis Using the FCM-ANFIS Algorithm: A Case Study in South-Eastern Australia
Amir Zalnezhad, Ataur Rahman, Mehdi Vafakhah, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1608-1608
Open Access | Times Cited: 15
Stacking state-of-the-art ensemble for flash-flood potential assessment
Romulus Costache, Tran Trung Tin, Alireza Arabameri, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13812-13838
Closed Access | Times Cited: 13
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
Performance Evaluation of MLP and CNN Models for Flood Prediction
Ippili Saikrishna Macharyulu, Deba Prakash Satapathy, Abinash Sahoo, et al.
Lecture notes in networks and systems (2022), pp. 273-281
Closed Access | Times Cited: 10
Time-series analysis and Flood Prediction using a Deep Learning Approach
Selva Jeba G., P. Chitra, Uma Maheswari Rajasekaran
(2022)
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
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: 8
Reviewing Flood Susceptibility Mapping Utilizing Machine Learning: Insights and Prospects for Future Research
Priya Mishra, Sanjeev Kumar Prasad
(2024), pp. 649-655
Closed Access | Times Cited: 1
Flood prediction through hydrological modeling of rainfall using Conv1D-SBiGRU algorithm and RDI estimation: A hybrid approach
G. Selva Jeba, P. Chitra
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3587-3606
Closed Access | Times Cited: 1
Application of Adaptive Neuro-Fuzzy Inference System and Salp Swarm Algorithm for Suspended Sediment Load Prediction
Gopal Krishna Sahoo, Abinash Sahoo, Sandeep Samantara, et al.
Lecture notes in networks and systems (2022), pp. 339-347
Closed Access | Times Cited: 5
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
Page 1 - Next Page

Scroll to top