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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:

Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
Kai Lun Chong, Yuk Feng Huang, Chai Hoon Koo, et al.
Applied Water Science (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia
Kassa Abera Tareke, Admasu Gebeyehu Awoke
Heliyon (2023) Vol. 9, Iss. 2, pp. e13287-e13287
Open Access | Times Cited: 26
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
Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Wei Yaxing, Huzaifa Hashim, Sai Hin Lai, et al.
IEEE Access (2024) Vol. 12, pp. 10865-10885
Open Access | Times Cited: 5
Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
Nguyen Van Thieu, Ngoc Hung Nguyen, Mohsen Sherif, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Alfeu D. Martinho, Henrique S. Hippert, Leonardo Goliatt
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Enhancing hydrological time series forecasting with a hybrid Bayesian-ConvLSTM model optimized by particle swarm optimization
Hüseyin Çağan Kılınç, Sina Apak, Mahmut Esad Ergin, et al.
Acta Geophysica (2025)
Open Access
A Comparative Analysis of Machine Learning Models for Simulating, Classifying, and Assessment River Inflow
Ali Najah Ahmed, Nguyen Van Thieu, Kai Lun Chong, et al.
Water Resources Management (2025)
Closed Access
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
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
Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 3
Transfer-Learning Approach for Enhanced Brain Tumor Classification in MRI Imaging
Amarnath Amarnath, Ali Al Bataineh, Jeremy A. Hansen
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1745-1756
Open Access | Times Cited: 3
Solving flood problems with deep learning technology: Research status, strategies, and future directions
Hongyang Li, Mingxin Zhu, Fangxin Li, et al.
Sustainable Development (2024)
Closed Access | Times Cited: 1
Enhancing short-term streamflow forecasting of extreme events: a wavelet-artificial neural network hybrid approach
Yulia Gorodetskaya, Rodrigo Oliveira Silva, Celso Bandeira de Melo Ribeiro, et al.
Water Cycle (2024)
Open Access
Deep Learning Approaches for Stream Flow and Peak Flow Prediction: A Comparative Study
Levent Latifoğlu, Emre Altuntaş
The European Journal of Research and Development (2024) Vol. 4, Iss. 1, pp. 61-84
Closed Access
A Bibliometric-Qualitative Literature Review of Flood Research Based on Deep Learning
Mingxin Zhu, Hongyang Li, Fangxin Li
Lecture notes in operations research (2024), pp. 1021-1034
Closed Access
Structure of Different Kinds of ANN Models
Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, et al.
(2022), pp. 13-26
Closed Access | Times Cited: 1
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