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:

Daily air temperature forecasting using LSTM-CNN and GRU-CNN models
İhsan Uluocak, Mehmet Bilgili
Acta Geophysica (2023) Vol. 72, Iss. 3, pp. 2107-2126
Closed Access | Times Cited: 14

Showing 14 citing articles:

Comparative study of multivariate hybrid neural networks for global sea level prediction through 2050
İhsan Uluocak
Environmental Earth Sciences (2025) Vol. 84, Iss. 3
Open Access | Times Cited: 2
A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Qingchun Guo, Zhenfang He, Zhaosheng Wang, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2870-2870
Open Access | Times Cited: 13
A Hybrid Improved Dual-Channel and Dual-Attention Mechanism Model for Water Quality Prediction in Nearshore Aquaculture
Wenjing Liu, Ji Wang, Zhenhua Li, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 331-331
Open Access | Times Cited: 1
Enhancing temperature prediction in the UAE: a process-driven framework for adaptive learning with GRU-CNN hybrid models
SeyedHadi Haghrahmani
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 6
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world’s major urban cities
Vipin Kumar
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Statistical and deep learning approaches in estimating present and future global mean sea level rise
Sergen Tümse, Umut Alcansoy
Natural Hazards (2025)
Open Access
A machine learning approach for the efficient estimation of ground-level air temperature in urban areas
Iñigo Delgado-Enales, Joshua Lizundia-Loyola, Patricia Molina-Costa, et al.
Urban Climate (2025) Vol. 61, pp. 102415-102415
Closed Access
Time Series Analysis of Sea Surface Temperature Change in the Coastal Seas of Türkiye
Mehmet Bilgili, Tahir Durhasan, Engin Pınar
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106339-106339
Closed Access | Times Cited: 3
Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer
Ruowu Wu, Yongsheng Liang, Lianlei Lin, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7837-7837
Open Access | Times Cited: 2
Comparative Time Series Analysis of SARIMA, LSTM, and GRU Models for Global SF6 Emission Management System
Ganime Tuğba ÖNDER
Journal of Atmospheric and Solar-Terrestrial Physics (2024), pp. 106393-106393
Closed Access | Times Cited: 1
Global monthly sea surface temperature forecasting using the SARIMA, LSTM, and GRU models
Mehmet Bilgili, Engin Pınar, Tahir Durhasan
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Enhanced deep learning approach for improved maximum temperature forecasting: a case study in the Sahara region, Morocco
Matjaž Ličer, Hanae Belmajdoub, Khalid Minaoui
Theoretical and Applied Climatology (2024) Vol. 156, Iss. 1
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
Page 1

Scroll to top