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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:

A Soft Sensor to Estimate the Opening of Greenhouse Vents Based on an LSTM-RNN Neural Network
Mounir Guesbaya, Francisco García-Mañas, Francisco Rodríguez, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1250-1250
Open Access | Times Cited: 12

Showing 12 citing articles:

An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM
Wenzhong Li, Chengshuai Liu, Yingying Xu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101873-101873
Open Access | Times Cited: 15
Deep learning-based air pollution analysis on carbon monoxide in Taiwan
Cheng‐Hong Yang, Po‐Hung Chen, Chih-Hsien Wu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102477-102477
Open Access | Times Cited: 10
A Review of Environmental Control Strategies and Models for Modern Agricultural Greenhouses
Shu-Ling Chen, Aolong Liu, Fei Tang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1388-1388
Open Access
CFD simulation and measurement and control analysis of the ambient temperature field of agricultural greenhouses
Wang Chao-yong, Dake Wu, Ke Qiao, et al.
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Role of Smart Agriculture on Food Security in Saudi Arabia
Maha Hadid, Shamseddin Musa Ahmed
Springer eBooks (2024), pp. 229-248
Closed Access | Times Cited: 2
A Comparative Analysis of the Performance of Deep Learning Techniques in Precision Farming Using Soil and Climate Factors
Jide Kehinde Adeniyi, Tunde Taiwo Adeniyi, Sunday Adeola Ajagbe, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2812-2821
Open Access | Times Cited: 2
Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes
Nahyeon An, Seokyoung Hong, Yurim Kim, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110763-110763
Open Access | Times Cited: 5
A Comprehensive Review of Text Sentiment Analysis: A Survey of Traditional Methods and Deep Learning Approaches
Ruichen Xi
Science and Technology of Engineering Chemistry and Environmental Protection (2024) Vol. 1, Iss. 5
Open Access | Times Cited: 1
Hybrid Deep Learning Approach Utilizing RNN and LSTM for the Detection of DDoS Attacks Within the Bitcoin Ecosystem
Amenah Abdulabbas Almamoori, Wesam Samer Bhaya
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 4, pp. 931-937
Open Access | Times Cited: 3
Data Analytics on EEG Signal Features to Distinguish Familiar and Unfamiliar Information in Human Brain Memory
Yuri Pamungkas
(2023) Vol. 23, pp. 369-374
Closed Access | Times Cited: 2
Fusing Image and Text Features for Scene Sentiment Analysis Using Whale-Honey Badger Optimization Algorithm (WHBOA)
Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Lecture notes in computer science (2024), pp. 446-462
Closed Access
Mechanized Functioning of Tomato and Lettuce Greenhouses Using IoT and Machine Learning Techniques
Shipra Saraswat, Rijwan Khan, Ayush Gupta, et al.
Advances in environmental engineering and green technologies book series (2023), pp. 261-279
Closed Access
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