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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.

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Showing 1-25 of 173 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 366
A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Iοannis Kakkos, et al.
Future Internet (2023) Vol. 15, Iss. 8, pp. 255-255
Open Access | Times Cited: 106
A Comparative Analysis on Suicidal Ideation Detection Using NLP, Machine, and Deep Learning
Rezaul Haque, Naimul Islam, Maidul Islam, et al.
Technologies (2022) Vol. 10, Iss. 3, pp. 57-57
Open Access | Times Cited: 71
Role of artificial intelligence (AI) in fish growth and health status monitoring: a review on sustainable aquaculture
Arghya Mandal, Apurba Ratan Ghosh
Aquaculture International (2023) Vol. 32, Iss. 3, pp. 2791-2820
Closed Access | Times Cited: 54
A Critical Review of RNN and LSTM Variants in Hydrological Time Series Predictions
Muhammad Waqas, Usa Wannasingha Humphries
MethodsX (2024) Vol. 13, pp. 102946-102946
Open Access | Times Cited: 36
Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data
Mohammad Ehteram, Mahdie Afshari Nia, Fatemeh Panahi, et al.
Energy Conversion and Management (2024) Vol. 305, pp. 118267-118267
Closed Access | Times Cited: 19
Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access | Times Cited: 2
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
Knowledge-Based Systems (2022) Vol. 259, pp. 110070-110070
Open Access | Times Cited: 49
Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications
Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4925-4925
Open Access | Times Cited: 31
AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods
Muhammad Usman Tariq, Shuhaida Ismail
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 2, pp. 115-136
Open Access | Times Cited: 12
Deep learning-driven hybrid model for short-term load forecasting and smart grid information management
Xinyu Wen, Jiacheng Liao, Qingyi Niu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Incidence and prediction of cutaneous leishmaniasis cases and its related factors in an endemic area of Southeast Morocco: time series analysis
Adnane Hakem, Abdelaati El Khiat, Abdelkacem Ezzahidi, et al.
Acta Tropica (2025), pp. 107579-107579
Closed Access | Times Cited: 1
Advancing harmful algal bloom predictions using chlorophyll-a as an Indicator: Combining deep learning and EnKF data assimilation method
Ibrahim Busari, Debabrata Sahoo, Narendra N. Das, et al.
Journal of Environmental Management (2025) Vol. 382, pp. 125441-125441
Open Access | Times Cited: 1
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 38
Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm
Jintao Liu, Liangchao Chen, Wei Xu, et al.
Energy (2022) Vol. 262, pp. 125536-125536
Closed Access | Times Cited: 29
Arabic Toxic Tweet Classification: Leveraging the AraBERT Model
Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El‐Hafeez, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 4, pp. 170-170
Open Access | Times Cited: 21
LSTM algorithm optimization for COVID-19 prediction model
Irwan Sembiring, Sri Ngudi Wahyuni, Eko Sediyono
Heliyon (2024) Vol. 10, Iss. 4, pp. e26158-e26158
Open Access | Times Cited: 8
BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms
Yongxin Fan, Qian Tang, Yangming Guo, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3962-3962
Open Access | Times Cited: 7
Investigating the complex landscape of climate finance in least developed countries (LDCs)
Mohamed Ibrahim Nor, Abdinur Ali Mohamed
Discover Environment (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 7
Enhanced Air Quality Prediction through Spatio-temporal Feature Sxtraction and Fusion: A Self-tuning Hybrid Approach with GCN and GRU
Bao Liu, Zhi Qi, Lei Gao
Water Air & Soil Pollution (2024) Vol. 235, Iss. 8
Open Access | Times Cited: 7
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
Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions
Hafize Nurgül Durmuş Şenyapar, Ahmet Aksöz
Sustainability (2024) Vol. 16, Iss. 7, pp. 2958-2958
Open Access | Times Cited: 6
Multimodal Fusion of Optimized GRU–LSTM with Self-Attention Layer for Hydrological Time Series Forecasting
Hüseyin Çağan Kılınç, Sina Apak, Furkan Ozkan, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6045-6062
Closed Access | Times Cited: 6
High-resolution short-term prediction of the COVID-19 epidemic based on spatial-temporal model modified by historical meteorological data
Bin Chen, Ruming Chen, Lin Zhao, et al.
Fundamental Research (2024) Vol. 4, Iss. 3, pp. 527-539
Open Access | Times Cited: 5
Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers
Ardalan Izadi, Nastaran Zarei, Mohammad Reza Nikoo, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124139-124139
Closed Access | Times Cited: 5
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