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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:

Improving streamflow prediction in the WRF-Hydro model with LSTM networks
Kyeungwoo Cho, Yeonjoo Kim
Journal of Hydrology (2021) Vol. 605, pp. 127297-127297
Open Access | Times Cited: 218

Showing 1-25 of 218 citing articles:

Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 103
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: 77
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: 74
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: 58
A multihead LSTM technique for prognostic prediction of soil moisture
Pingki Datta, Salah A. Faroughi
Geoderma (2023) Vol. 433, pp. 116452-116452
Open Access | Times Cited: 47
Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment
Behmard Sabzipour, Richard Arsenault, Magali Troin, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130380-130380
Open Access | Times Cited: 46
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130846-130846
Closed Access | Times Cited: 24
Temporal Fusion Transformers for streamflow Prediction: Value of combining attention with recurrence
Sinan Rasiya Koya, Tirthankar Roy
Journal of Hydrology (2024) Vol. 637, pp. 131301-131301
Open Access | Times Cited: 20
Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations
Lei Jin, Huazhu Xue, Guotao Dong, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131117-131117
Open Access | Times Cited: 17
Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation
Jamal Hassan Ougahi, John S. Rowan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative study
Fatemeh Ghobadi, Doosun Kang
Journal of Hydrology (2022) Vol. 615, pp. 128608-128608
Closed Access | Times Cited: 47
Developing a Physics‐Informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments
L. Zhong, Huimin Lei, Bing Gao
Water Resources Research (2023) Vol. 59, Iss. 6
Closed Access | Times Cited: 35
Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau
Qiang Yu, Liguang Jiang, Yanjun Wang, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129115-129115
Closed Access | Times Cited: 34
Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins
Senlin Tang, Fubao Sun, Wenbin Liu, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Closed Access | Times Cited: 32
Exploration of dual-attention mechanism-based deep learning for multi-step-ahead flood probabilistic forecasting
Zhen Cui, Shenglian Guo, Yanlai Zhou, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129688-129688
Closed Access | Times Cited: 27
A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy
Abhinanda Roy, K. S. Kasiviswanathan, Sandhya Patidar, et al.
Water Resources Research (2023) Vol. 59, Iss. 2
Closed Access | Times Cited: 26
Applying transfer learning techniques to enhance the accuracy of streamflow prediction produced by long Short-term memory networks with data integration
Yegane Khoshkalam, Alain N. Rousseau, Farshid Rahmani, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129682-129682
Closed Access | Times Cited: 25
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: 14
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Hydrology Research (2024) Vol. 55, Iss. 2, pp. 180-204
Open Access | Times Cited: 10
Enhancing streamflow simulation in large and human-regulated basins: Long short-term memory with multiscale attributes
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130771-130771
Closed Access | Times Cited: 10
Toward interpretable LSTM-based modeling of hydrological systems
Luis De La Fuente, Mohammad Reza Ehsani, Hoshin V. Gupta, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 4, pp. 945-971
Open Access | Times Cited: 10
Reconstruction of missing streamflow series in human-regulated catchments using a data integration LSTM model
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101744-101744
Open Access | Times Cited: 10
Improving soil moisture prediction with deep learning and machine learning models
Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109414-109414
Closed Access | Times Cited: 10
Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review
Bisrat Ayalew Yifru, Kyoung Jae Lim, Seoro Lee
Sustainability (2024) Vol. 16, Iss. 4, pp. 1376-1376
Open Access | Times Cited: 9
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
Reetun Maiti, Balagopal G. Menon, Anand Abraham
Expert Systems with Applications (2024) Vol. 255, pp. 124550-124550
Closed Access | Times Cited: 9
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