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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:

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks
Haishuai Wang, Guangyu Tao, Jiali Ma, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 2, pp. 276-288
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Machine Learning and Prediction of Infectious Diseases: A Systematic Review
Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 175-198
Open Access | Times Cited: 54
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 53
Deep Learning for Time Series Forecasting: Advances and Open Problems
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 37
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Revolutionizing Healthcare with Generative Artificial Intelligence Technologies
Azadeh Zamanifar, Amirfarhad Farhadi, Azadeh Zamanifar
(2025), pp. 189-221
Closed Access
Generative AI in Pandemic Prediction
Parisa Tavana, Mojgan Zareinejad
(2025), pp. 35-66
Closed Access
On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments
Abdul Majeed, Xiaohan Zhang
COVID (2023) Vol. 3, Iss. 1, pp. 90-123
Open Access | Times Cited: 12
MPSTAN: Metapopulation-Based Spatio–Temporal Attention Network for Epidemic Forecasting
Junkai Mao, Yuexing Han, Bing Wang
Entropy (2024) Vol. 26, Iss. 4, pp. 278-278
Open Access | Times Cited: 4
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach
Mohammad Saddam Hosen, MD Shahidul Islam Fakir, Shamal Chandra Hawlader, et al.
European Journal of Medical and Health Research (2025) Vol. 3, Iss. 2, pp. 104-121
Closed Access
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19
Abdul Majeed, Xiaohan Zhang, Seong Oun Hwang
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 4, pp. 127-127
Open Access | Times Cited: 18
FairTL: A Transfer Learning Approach for Bias Mitigation in Deep Generative Models
Christopher T. H. Teo, Milad Abdollahzadeh, Ngai‐Man Cheung
IEEE Journal of Selected Topics in Signal Processing (2024) Vol. 18, Iss. 2, pp. 155-167
Closed Access | Times Cited: 3
Synthetic data in biomedicine via generative artificial intelligence
Boris van Breugel, Tennison Liu, Dino Oglić, et al.
Nature Reviews Bioengineering (2024)
Closed Access | Times Cited: 3
A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic
Haishuai Wang, Shangru Jia, Li Zhao, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 13
VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants
Zhifang Liao, Yucheng Song, Shengbing Ren, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 224, pp. 106981-106981
Open Access | Times Cited: 12
Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey
Rahul Kumar, Manish Bhanu, João Mendes‐Moreira, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-42
Closed Access | Times Cited: 2
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data
Sharon Torao Pingi, Duoyi Zhang, Md Abul Bashar, et al.
Data Science and Engineering (2023) Vol. 9, Iss. 1, pp. 5-25
Open Access | Times Cited: 4
Engineering and public health: converging disciplines for resilient solutions
Christopher Cummings, Emily Wells, Benjamin D. Trump
Environment Systems & Decisions (2024) Vol. 44, Iss. 2, pp. 189-198
Open Access | Times Cited: 1
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
W.F. Chen, Jianjun Yang, Zhongquan Sun, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Predicting COVID-19 using lioness optimization algorithm and graph convolution network
Dong Li, Xiaofei Ren, Yunze Su
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5437-5501
Open Access | Times Cited: 3
Using Epidemic Modeling, Machine Learning and Control Feedback Strategy for Policy Management of COVID-19
Kartik Narayan, Heena Rathore, Faycal Znidi
IEEE Access (2022) Vol. 10, pp. 98244-98258
Open Access | Times Cited: 5
Implicit Neural Distance Optimization for Mesh Neural Subdivision
Ke Liu, Ning Ma, Zhihua Wang, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 2039-2044
Closed Access | Times Cited: 2
Adverserial network augmentation and tabular data for a new covid-19 diagnostics approach
Eman Kamal Al-Bwana, Ikbel Sayahi, Mohammad Alauthman, et al.
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2024) Vol. 32, pp. 2000-2005
Closed Access
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases
Björn W. Schuller, Yonina C. Eldar, Maja Pantić, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 2, pp. 159-163
Open Access | Times Cited: 3
Enhancing Few-Shot Action Recognition Using Skeleton Temporal Alignment and Adversarial Training
Qingyang Xu, Jianjun Yang, Hongyi Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 31745-31755
Open Access
Attention Beats Linear for Fast Implicit Neural Representation Generation
Shuyi Zhang, Ke Liu, Jingjun Gu, et al.
Lecture notes in computer science (2024), pp. 1-18
Closed Access
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