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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:

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Yusuf Essam, Yuk Feng Huang, Jing Lin Ng, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 72
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
Hybridization of Stochastic Hydrological Models and Machine Learning Methods for Improving Rainfall-Runoff Modelling
Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick Kiplangat Ronoh, et al.
Results in Engineering (2025), pp. 104079-104079
Open Access | Times Cited: 1
Improved monthly runoff time series prediction using the SOA–SVM model based on ICEEMDAN–WD decomposition
Dong-mei Xu, Xiang Wang, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 3, pp. 943-970
Open Access | Times Cited: 24
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
Asish Saha, Subodh Chandra Pal
Journal of Hydrology (2024) Vol. 632, pp. 130907-130907
Closed Access | Times Cited: 13
Toward intelligent food drying: Integrating artificial intelligence into drying systems
Seyed-Hassan Miraei Ashtiani, Alex Martynenko
Drying Technology (2024) Vol. 42, Iss. 8, pp. 1240-1269
Closed Access | Times Cited: 12
In-depth simulation of rainfall–runoff relationships using machine learning methods
Mehdi Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2442-2459
Open Access | Times Cited: 10
Implementation of a machine learning approach to predict streamflows in watersheds: a case study of the Leaf River catchment
Javad Rostampour, Mahdi Mollazadeh, Mohsen Pourreza‐Bilondi, et al.
Water Science & Technology Water Supply (2025)
Open Access
COMPARISON OF ACCURACY BETWEEN LSTM AND FEEDFORWARD NEURAL NETWORKS IN PREDICTION OF DAM INFLOW
Yuto ENDO, Masayuki HITOKOTO, Yoshihiro NISHITO
Japanese Journal of JSCE (2025) Vol. 81, Iss. 16, pp. n/a-n/a
Closed Access
Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach
Azlan Saleh, Mohd Asyraf Zulkifley
Journal of Environmental Management (2025) Vol. 380, pp. 124987-124987
Closed Access
Plastic-Optical-Fiber-Enabled Smart Glove for Machine-Learning-Based Gesture Recognition
Jie Li, Bin Liu, Yingying Hu, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 4, pp. 4252-4261
Closed Access | Times Cited: 12
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: 4
Potential Induced Degradation in Photovoltaic Modules: A Review of the Latest Research and Developments
Ghadeer Badran, Mahmoud Dhimish
Solar (2023) Vol. 3, Iss. 2, pp. 322-346
Open Access | Times Cited: 10
Assessment of machine learning models for short-term streamflow estimation: the case of Dez River in Iran
Mohammad Reza Goodarzi, Majid Niazkar, Ali Barzkar, et al.
Sustainable Water Resources Management (2024) Vol. 10, Iss. 1
Closed Access | Times Cited: 3
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 3
Monthly streamflow prediction and performance comparison of machine learning and deep learning methods
Ömer Ayana, Deniz Furkan Kanbak, Mümine Kaya Keleş, et al.
Acta Geophysica (2023) Vol. 71, Iss. 6, pp. 2905-2922
Closed Access | Times Cited: 9
Streamflow classification by employing various machine learning models for peninsular Malaysia
Nouar AlDahoul, Mhd Adel Momo, Kai Lun Chong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Prediction of gas production potential based on machine learning in shale gas field: a case study
Shuo Zhai, Shaoyang Geng, Chengyong Li, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 3, pp. 6581-6601
Closed Access | Times Cited: 14
Performance of LSTM over SWAT in Rainfall-Runoff Modeling in a Small, Forested Watershed: A Case Study of Cork Brook, RI
Shiva Gopal Shrestha, Soni M. Pradhanang
Water (2023) Vol. 15, Iss. 23, pp. 4194-4194
Open Access | Times Cited: 8
Study of the River Discharge Alteration
Alina Bărbulescu, Mohammed Nayeemuddin
Water (2024) Vol. 16, Iss. 6, pp. 808-808
Open Access | Times Cited: 2
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting
Osama A. Abozweita, Ali Najah Ahmed, Lariyah Mohd Sidek, et al.
Journal of Hydroinformatics (2024)
Open Access | Times Cited: 2
Novel hybrid machine learning framework with decomposition–transformation and identification of key modes for estimating reference evapotranspiration
Yan Kang, Peiru Chen, Xiao Cheng, et al.
Agricultural Water Management (2022) Vol. 273, pp. 107882-107882
Closed Access | Times Cited: 13
Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree
Özgür Kişi, Salim Heddam, Behrooz Keshtegar, et al.
Water (2022) Vol. 14, Iss. 9, pp. 1449-1449
Open Access | Times Cited: 12
Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions
Pouya Aghelpour, Vahid Varshavian, Mehraneh Khodamorad Pour, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Daily streamflow prediction based on the long short-term memory algorithm: a case study in the Vietnamese Mekong Delta
Huu Duy Nguyen, Chien Pham Van, Quoc‐Huy Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 4, pp. 1247-1267
Open Access | Times Cited: 5
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