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:

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study
Rana Muhammad Adnan Ikram, Barenya Bikash Hazarika, Deepak Gupta, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 73
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 14
Application of novel binary optimized machine learning models for monthly streamflow prediction
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Applied Water Science (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 30
Novel evolutionary-optimized neural network for predicting landslide susceptibility
Rana Muhammad Adnan Ikram, Imran Khan, Hossein Moayedi, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 7, pp. 17687-17719
Closed Access | Times Cited: 24
A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping
Hossein Moayedi, Atefeh Ahmadi Dehrashid
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82964-82989
Open Access | Times Cited: 23
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: 12
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Pore structure analysis and prediction of characteristics by metaheuristic algorithm of manufactured sand polymer-modified repair mortar
Haozheng Tian, Xiangchen Zhu, Qiong Feng, et al.
Construction and Building Materials (2025) Vol. 463, pp. 140065-140065
Closed Access
Direct and indirect simulating and projecting hydrological drought using a supervised machine learning method
Mohammad Reza Eini, Farzaneh Najminejad, Mikołaj Piniewski
The Science of The Total Environment (2023) Vol. 898, pp. 165523-165523
Closed Access | Times Cited: 14
Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models
Özgür Kişi, Kulwinder Singh Parmar, Amin Mahdavi‐Meymand, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1095-1095
Open Access | Times Cited: 13
Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11
Long-term natural streamflow forecasting under drought scenarios using data-intelligencw modeling
Lavínia D. Balthazar, Félix A. Miranda, Vinícius B.R. Cândido, et al.
Water Cycle (2024) Vol. 5, pp. 266-277
Open Access | Times Cited: 2
Daily Runoff Forecasting Using Novel Optimized Machine Learning Methods
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, et al.
Results in Engineering (2024) Vol. 24, pp. 103319-103319
Open Access | Times Cited: 2
Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions
Nidhal Ben Khedher, Azfarizal Mukhtar, Ahmad Shah Hizam Md Yasir, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Investigation of climate change impacts on daily streamflow extremes in Eastern Black Sea Basin, Turkey
Hasan Babacan, Ömer Yüksek
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103599-103599
Closed Access | Times Cited: 1
Jucazinho Dam Streamflow Prediction: A Comparative Analysis of Machine Learning Techniques
Erickson Johny Galindo da Silva, Artur Paiva Coutinho, Jean Firmino Cardoso, et al.
Hydrology (2024) Vol. 11, Iss. 7, pp. 97-97
Open Access | Times Cited: 1
Predictive modeling and benchmarking for diamond price estimation: integrating classification, regression, hyperparameter tuning and execution time analysis
Md Shaik Amzad Basha, Peerzadah Mohammad Oveis
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1
Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
Rana Muhammad Adnan Ikram, Mo Wang, Özgür Kişi, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1407-1407
Open Access | Times Cited: 1
A robust variational mode decomposition based deep random vector functional link network for dynamic system identification
Rakesh Kumar Pattanaik, Susanta Kumar Rout, Mrutyunjaya Sahani, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109887-109887
Closed Access | Times Cited: 1
A development in the approach of assessing the sensitivity of road networks to environmental hazards using functional machine learning algorithm and fractal methods
Hadi Nayyeri, Lei Xu, Atefeh Ahmadi Dehrashid, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 11, pp. 28033-28061
Closed Access | Times Cited: 3
Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
Amin Mahdavi‐Meymand, Wojciech Sulisz, Mohammad Zounemat‐Kermani
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1297-1340
Closed Access | Times Cited: 3
Correlations between Summer Discharge and South Asian Summer Monsoon Subsystems in Mekong River Basin
Anan Guo, Li He
Atmosphere (2023) Vol. 14, Iss. 6, pp. 958-958
Open Access | Times Cited: 2
A novel model for rainfall prediction using hybrid stochastic-based Bayesian optimization algorithm
P. Lathika, Sheeba Singh D
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92555-92567
Closed Access | Times Cited: 2
Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
Matteo Bodini
Signals (2024) Vol. 5, Iss. 4, pp. 659-689
Open Access
Page 1 - Next Page

Scroll to top