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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:

Interpretable Temporal Attention Network for COVID-19 forecasting
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108691-108691
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 17, pp. 4-18
Open Access | Times Cited: 101
Explainable prediction of loan default based on machine learning models
Xu Zhu, Qingyong Chu, Xinchang Song, et al.
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 123-133
Open Access | Times Cited: 27
A graph-attention based spatial-temporal learning framework for tourism demand forecasting
Binggui Zhou, Yunxuan Dong, Guanghua Yang, et al.
Knowledge-Based Systems (2023) Vol. 263, pp. 110275-110275
Closed Access | Times Cited: 16
Non-stationary fuzzy time series modeling and forecasting using deep learning with swarm optimization
Naresh Kumar, Seba Susan
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
ShapTime: A General XAI Approach for Explainable Time Series Forecasting
Yuyi Zhang, Qiushi Sun, Dongfang Qi, et al.
Lecture notes in networks and systems (2024), pp. 659-673
Closed Access | Times Cited: 4
Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
Nakyung Yoon, Suin Lee, Sanghun Park, et al.
Desalination (2023) Vol. 561, pp. 116676-116676
Open Access | Times Cited: 11
Hot rolled prognostic approach based on hybrid Bayesian progressive layered extraction multi-task learning
Shuxin Zhang, Zhitao Liu, Tao An, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123763-123763
Closed Access | Times Cited: 3
Modelling and forecasting new cases of Covid-19 in Nigeria: Comparison of regression, ARIMA and machine learning models
S.I. Busari, Timothy Kayode Samson
Scientific African (2022) Vol. 18, pp. e01404-e01404
Open Access | Times Cited: 15
A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques
Hossein Abbasimehr, Ali Noshad, Reza Paki
Expert Systems with Applications (2023) Vol. 235, pp. 121279-121279
Closed Access | Times Cited: 6
DSA-BEATS: Dual Self-Attention N-BEATS Model for Forecasting COVID-19 Hospitalization
Amirhossein Motavali, Kin Choong Yow, Nicole Hansmeier, et al.
IEEE Access (2023) Vol. 11, pp. 137352-137365
Open Access | Times Cited: 5
Dual-grained directional representation for infectious disease case prediction
Peisong Zhang, Zhijin Wang, Yao‐Hui Huang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109806-109806
Closed Access | Times Cited: 9
Seasonality of influenza-like illness and short-term forecasting model in Chongqing from 2010 to 2022
Huayong Chen, Mimi Xiao
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series
Qiqi Su, Christos Kloukinas, Artur d’Avila Garcez
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 2018, pp. 1-8
Closed Access | Times Cited: 1
Machine Learning Approach for Forecast Analysis of Novel COVID-19 Scenarios in India
Ankit Kumar Srivastava, Saurabh Tripathi, Sachin Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 95106-95124
Open Access | Times Cited: 8
The sustainable development of mathematics subject: An empirical analysis based on the academic attention and literature research
Yulin Zhao, Junke Li, Kai Liu
Heliyon (2023) Vol. 9, Iss. 8, pp. e18750-e18750
Open Access | Times Cited: 2
Pay Less but Get More: A Dual-Attention-Based Channel Estimation Network for Massive MIMO Systems With Low-Density Pilots
Binggui Zhou, Xi Yang, Shaodan Ma, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 6, pp. 6061-6076
Open Access | Times Cited: 2
Analyzing the European countries’ SARS-CoV-2 policies via Bayesian explainable deep learning and statistical inference
Hamed Khalili
Research Square (Research Square) (2024)
Open Access
Evaluation Techniques for Long Short-Term Memory Models: Overfitting Analysis and Handling Missing Values
Roland Bolboacă, Piroska Haller, Béla Genge
Lecture notes in computer science (2024), pp. 228-240
Closed Access
Estimating the time-varying effective reproduction number via Cycle Threshold-based Transformer
Xinyu Zhang, Lanlan Yu, Weiyi Wang, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012694-e1012694
Open Access
In the Seeking of Association between Air Pollutant and COVID-19 Confirmed Cases Using Deep Learning
Yu‐Tse Tsan, Endah Kristiani, Po‐Yu Liu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6373-6373
Open Access | Times Cited: 3
A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic
Yong‐Ju Jang, Min-Seung Kim, Chan-Ho Lee, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6763-6763
Open Access | Times Cited: 3
Ontology-based Data Collection for a Hybrid Outbreak Detection Method Using Social Media
Ghazaleh Babanejaddehaki, Aijun An, Heidar Davoudi
IEEE Transactions on NanoBioscience (2024) Vol. 23, Iss. 4, pp. 591-602
Closed Access
Explainable Deep Fuzzy Systems Applied to Sulfur Recovery Unit
Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, et al.
Studies in big data (2024), pp. 27-54
Closed Access
Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning
Nabil I. Ajali-Hernández, Carlos M. Travieso
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
An analytical tool to support public policies and isolation barriers against SARS-CoV-2 based on mobility patterns and socio-economic aspects
Julio Cezar Soares Silva, Diogo Ferreira de Lima Silva, Nivan Ferreira, et al.
Applied Soft Computing (2023) Vol. 138, pp. 110177-110177
Open Access | Times Cited: 1
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