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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 26-50 of 84 citing articles:

Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study
Ignacio Heredia, Judith Sáinz-Pardo Díaz, María Castrillo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic
Zihao Li, Zihang Wei, Yunlong Zhang, et al.
Travel Behaviour and Society (2023) Vol. 33, pp. 100621-100621
Open Access | Times Cited: 8
Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency
Surjeet Dalal, Umesh Kumar Lilhore, Nidhi Sharma, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1939-e1939
Open Access | Times Cited: 2
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Van-Huy Pham, et al.
IEEE Access (2022) Vol. 10, pp. 11871-11885
Open Access | Times Cited: 12
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 3846-3855
Open Access | Times Cited: 20
Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions
Domjan Barić, Petar Fumić, Davor Horvatić, et al.
Entropy (2021) Vol. 23, Iss. 2, pp. 143-143
Open Access | Times Cited: 16
Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review
Yang Liu, Michiyo Iwami, Yishan Chen, et al.
Progress in Planning (2022) Vol. 168, pp. 100657-100657
Open Access | Times Cited: 11
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 15
On the Application of Advanced Machine Learning Methods to Analyze Enhanced, Multimodal Data from Persons Infected with COVID-19
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
Computation (2021) Vol. 9, Iss. 1, pp. 4-4
Open Access | Times Cited: 14
An End-to-End Smart IoT-Driven Navigation for Social Distancing Enforcement
Hamdi Friji, Abdullah Khanfor, Hakim Ghazzai, et al.
IEEE Access (2022) Vol. 10, pp. 76824-76841
Open Access | Times Cited: 10
Human behavior in the time of COVID-19: Learning from big data
Hanjia Lyu, Arsal Imtiaz, Yufei Zhao, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 5
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions
Ignacio Segovia-Domínguez, Zhiwei Zhen, Rishabh Wagh, et al.
Lecture notes in computer science (2021), pp. 201-212
Closed Access | Times Cited: 13
Unraveling the dynamic importance of county-level features in trajectory of COVID-19
Qingchun Li, Yang Yang, Wanqiu Wang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 3174-3185
Open Access | Times Cited: 8
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 15647-15653
Open Access | Times Cited: 4
Predicting the Spread of a Pandemic Using Machine Learning: A Case Study of COVID-19 in the UAE
Donthi Sankalpa, Salam Dhou, Michel Pasquier, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4022-4022
Open Access | Times Cited: 1
An Adaptive Learning-Based Approach for Vehicle Mobility Prediction
Luis Irio, Andre Ip, Rodolfo Oliveira, et al.
IEEE Access (2021) Vol. 9, pp. 13671-13682
Open Access | Times Cited: 11
Leveraging weather data for forecasting cases-to-mortality rates due to COVID-19
Ogechukwu N. Iloanusi, Arun Ross
Chaos Solitons & Fractals (2021) Vol. 152, pp. 111340-111340
Open Access | Times Cited: 9
Automated Segmentation of COVID-19 Lesion from Lung CT Images Using U-Net Architecture
Seifedine Kadry, Fadi Al‐Turjman, V. Rajinikanth
Springer eBooks (2021), pp. 20-30
Closed Access | Times Cited: 7
Monitoring of the COVID-19 Cases by EWMA Control Chart
Pulak Kumari, Anurag Priyadarshi, Amit Gupta, et al.
Advances in intelligent systems and computing (2021), pp. 541-551
Closed Access | Times Cited: 7
Use of Artificial Intelligence on spatio-temporal data to generate insights during COVID-19 pandemic: A Review
Gihan Jayatilaka, Jameel Hassan, Umar Marikkar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 7
Multimodal Neural Network for Recurrence Prediction of Papillary Thyroid Carcinoma
Geun-Hyeong Kim, Dong‐Hwa Lee, Jee-Woo Choi, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 2
Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models
Md. Khairul Islam, Yingzheng Liu, Andrej Erkelens, et al.
(2023), pp. 266-277
Closed Access | Times Cited: 2
A Feature-Based Analysis for Time-Series Classification of COVID-19 Incidence in Chile: A Case Study
Christopher A. Flores, Carla Taramasco, María Elena Lagos, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 7080-7080
Open Access | Times Cited: 6
A comparison of Covid-19 cases and deaths in Turkey and in other countries
Oğuzhan Çağlar, Figen Özen
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 4

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