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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:

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: 19

Showing 19 citing articles:

Probing the limit of hydrologic predictability with the Transformer network
Jiangtao Liu, Yuchen Bian, Kathryn Lawson, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131389-131389
Open Access | Times Cited: 12
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 7
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Journal of Hydrology (2024), pp. 132175-132175
Closed Access | Times Cited: 6
Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods
Hiren Solanki, Urmin Vegad, Anuj Prakash Kushwaha, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access
Reply on RC2
Stefan Kunz
(2025)
Closed Access
Reply on RC3
Stefan Kunz
(2025)
Closed Access
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture
Dongmei Xu, Zong Li, Wenchuan Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Kan-Memvit: A Memory Cached Vision Transformer With Kolmogorov–Arnold Network for Seizure Prediction
Peng Hao, Wenqian Feng, Chenxi Nie, et al.
(2025)
Closed Access
MTV19ANet: A Multi-tier Visual Geometry Group 19 with Attention Network-Based Streamflow Prediction System
A. Shashank, P. Geetha, Jyothish Lal G, et al.
Water Resources Management (2025)
Closed Access
Interpretable Transformer Model for National Scale Drought Forecasting: Attention-Driven Insights Across India
Ashish Pathania, Vivek Gupta
Environmental Modelling & Software (2025), pp. 106394-106394
Closed Access
Dynamic energy cost prediction for industrial and commercial buildings using advanced Machine Learning and multi-pricing models
Qazi Waqas Khan, Anam Nawaz Khan, Bibi Misbah, et al.
Journal of Building Engineering (2025), pp. 112055-112055
Open Access
Enhancing Hydro-climatic and land parameter forecasting using Transformer networks
Suchismita Subhadarsini, D. Nagesh Kumar, Rao S. Govindaraju
Journal of Hydrology (2025), pp. 132906-132906
Closed Access
RFM_Trans: Runoff forecasting model for catchment flood protection using strategies optimized Transformer
Nana Bao, C. Li, Xingting Yan, et al.
Expert Systems with Applications (2025), pp. 127228-127228
Closed Access
Optimization of Wastewater Treatment Through Machine Learning-Enhanced Supervisory Control and Data Acquisition: A Case Study of Granular Sludge Process Stability and Predictive Control
Igor Gulshin, Olga Kuzina
Automation (2024) Vol. 6, Iss. 1, pp. 2-2
Open Access | Times Cited: 1
Optimization and imputation of acoustic absorption sequence prediction for transversely isotropic porous materials: A MultiScaleCNN-Transformer-PSO model approach
Lei Diao, Tao Meng, Feifei Feng
Measurement (2024) Vol. 242, pp. 116098-116098
Closed Access
Aeroelastic force prediction via temporal fusion transformers
Miguel Cid Montoya, Akhil Mishra, Sumit Verma, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access
Deep Learning Prediction of Streamflow in Portugal
Rafael Francisco, José Pedro Matos
Hydrology (2024) Vol. 11, Iss. 12, pp. 217-217
Open Access
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion
Binrong Wu, Sihao Yu, Sheng‐Xiang Lv
Journal of Forecasting (2024)
Closed Access
Analysis and Forecasting of Temperature Based on Temporal Fusion Transformer Model: A Case Study of Urumqi
Xinjun Song, Haiyang Sun, Shiyang Zhan, et al.
(2024), pp. 404-409
Closed Access
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