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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:

Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution
Junjie Pang, Yan Huang, Zhenzhen Xie, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 759-771
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Digital Twin: Origin to Future
Maulshree Singh, Evert Fuenmayor, Eoin P. Hinchy, et al.
Applied System Innovation (2021) Vol. 4, Iss. 2, pp. 36-36
Open Access | Times Cited: 576
Digital Twin Technology Challenges and Applications: A Comprehensive Review
Diego M. Botín-Sanabria, Adriana-Simona Mihăiţă, Rodrigo E. Peimbert-García, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1335-1335
Open Access | Times Cited: 490
Fusing Blockchain and AI With Metaverse: A Survey
Qinglin Yang, Yetong Zhao, Huawei Huang, et al.
IEEE Open Journal of the Computer Society (2022) Vol. 3, pp. 122-136
Open Access | Times Cited: 418
Digital Twins From Smart Manufacturing to Smart Cities: A Survey
Georgios Mylonas, Αθανάσιος Καλογεράς, Georgios Kalogeras, et al.
IEEE Access (2021) Vol. 9, pp. 143222-143249
Open Access | Times Cited: 182
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Swarna Priya Ramu, Parimala Boopalan, Quoc‐Viet Pham, et al.
Sustainable Cities and Society (2022) Vol. 79, pp. 103663-103663
Closed Access | Times Cited: 182
Security and Privacy in Metaverse: A Comprehensive Survey
Yan Huang, Yi Joy Li, Zhipeng Cai
Big Data Mining and Analytics (2023) Vol. 6, Iss. 2, pp. 234-247
Open Access | Times Cited: 153
COVID-19 detection using federated machine learning
Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252573-e0252573
Open Access | Times Cited: 103
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang, Zhou Su, Shaolong Guo, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 17, pp. 14965-14987
Open Access | Times Cited: 95
Digital Twins for Managing Health Care Systems: Rapid Literature Review
Safa Elkefi, Onur Asan
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e37641-e37641
Open Access | Times Cited: 72
Digital twin-supported smart city: Status, challenges and future research directions
Hao Wang, Xiaowei Chen, Fu Jia, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119531-119531
Closed Access | Times Cited: 59
A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics
Dasaradharami Reddy Kandati, Thippa Reddy Gadekallu
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 56
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 743-743
Open Access | Times Cited: 46
Role of Fluid Dynamics in Infectious Disease Transmission: Insights from COVID-19 and Other Pathogens
Soumyajit Koley
Trends in Sciences (2024) Vol. 21, Iss. 8, pp. 8287-8287
Open Access | Times Cited: 21
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis, et al.
IEEE Access (2024) Vol. 12, pp. 9890-9930
Open Access | Times Cited: 17
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 12, pp. 10257-10271
Open Access | Times Cited: 95
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic
Jorge E. Pesantez, Faisal Alghamdi, Shreya Sabu, et al.
Sustainable Cities and Society (2021) Vol. 77, pp. 103520-103520
Open Access | Times Cited: 80
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
Xiaorui Su, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 69
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Moming Duan, Duo Liu, Xinyuan Ji, et al.
IEEE Transactions on Parallel and Distributed Systems (2021), pp. 1-1
Open Access | Times Cited: 66
Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm
Vani Rajasekar, Bratislav Predić, Muzafer Saračević, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
Objective evaluation of deep uncertainty predictions for COVID-19 detection
Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks
Elvira Nica, Gheorghe H. Popescu, Miloš Poliak, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 1981-1981
Open Access | Times Cited: 38
City Digital Twins: their maturity level and differentiation from 3D city models
Homa Masoumi, Sara Shirowzhan, Paria Eskandarpour, et al.
Big Earth Data (2023) Vol. 7, Iss. 1, pp. 1-36
Open Access | Times Cited: 32
Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions
A. H. Alamoodi, B. B. Zaidan, O. S. Albahri, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 4, pp. 4705-4731
Open Access | Times Cited: 28
Concepts and applications of digital twins in healthcare and medicine
Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista‐Hon, et al.
Patterns (2024) Vol. 5, Iss. 8, pp. 101028-101028
Open Access | Times Cited: 13
Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric study
Rasha F. El-Agamy, Hanaa A. Sayed, Arwa M. AL Akhatatneh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 11
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