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:

Social Sensing in Disaster City Digital Twin: Integrated Textual–Visual–Geo Framework for Situational Awareness during Built Environment Disruptions
Chao Fan, Yucheng Jiang, Ali Mostafavi
Journal of Management in Engineering (2020) Vol. 36, Iss. 3
Closed Access | Times Cited: 118

Showing 26-50 of 118 citing articles:

Towards digital architecture, engineering, and construction (AEC) industry through virtual design and construction (VDC) and digital twin
Hamed Nabizadeh Rafsanjani, Amir Hossein Nabizadeh
Energy and Built Environment (2021) Vol. 4, Iss. 2, pp. 169-178
Open Access | Times Cited: 78

Digital Twin-driven approach to improving energy efficiency of indoor lighting based on computer vision and dynamic BIM
Yi Tan, Penglu Chen, Wenchi Shou, et al.
Energy and Buildings (2022) Vol. 270, pp. 112271-112271
Closed Access | Times Cited: 64

The wisdom of crowds for improved disaster resilience: a near-real-time analysis of crowdsourced social media data on the 2021 flood in Germany
Mahsa Moghadas, Alexander Fekete, Abbas Rajabifard, et al.
GeoJournal (2023) Vol. 88, Iss. 4, pp. 4215-4241
Open Access | Times Cited: 29

Digital post-disaster risk management twinning: A review and improved conceptual framework
Umut Lagap, Saman Ghaffarian
International Journal of Disaster Risk Reduction (2024) Vol. 110, pp. 104629-104629
Open Access | Times Cited: 12

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

Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters
Chao Fan, Miguel Esparza, Jennifer Dargin, et al.
Computers Environment and Urban Systems (2020) Vol. 83, pp. 101514-101514
Open Access | Times Cited: 61

Rapid Assessment of Disaster Impacts on Highways Using Social Media
Yudi Chen, Qi Wang, Wenying Ji
Journal of Management in Engineering (2020) Vol. 36, Iss. 5
Closed Access | Times Cited: 54

A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Shangjia Dong, Tianbo Yu, Hamed Farahmand, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 4, pp. 402-420
Open Access | Times Cited: 49

The materials tetrahedron has a “digital twin”
Michael E. Deagen, L. Catherine Brinson, Richard A. Vaia, et al.
MRS Bulletin (2022) Vol. 47, Iss. 4, pp. 379-388
Open Access | Times Cited: 34

Knowledge map and forecast of digital twin in the construction industry: State-of-the-art review using scientometric analysis
Haiyan Xie, Mengyang Xin, Caiwu Lu, et al.
Journal of Cleaner Production (2022) Vol. 383, pp. 135231-135231
Closed Access | Times Cited: 33

Early detection of emergency events from social media: a new text clustering approach
Lida Huang, Panpan Shi, Haichao Zhu, et al.
Natural Hazards (2022) Vol. 111, Iss. 1, pp. 851-875
Open Access | Times Cited: 32

Review of Digital Twins for Constructed Facilities
Rana Khallaf, Lama Khallaf, Chimay Anumba, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 2029-2029
Open Access | Times Cited: 30

A novel digital twin framework of electric power infrastructure systems subjected to hurricanes
Abdullah M. Braik, Maria Koliou
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104020-104020
Open Access | Times Cited: 19

Citizen-centric digital twin development with machine learning and interfaces for maintaining urban infrastructure
Fathima Nishara Abdeen, Sara Shirowzhan, Samad M. E. Sepasgozar
Telematics and Informatics (2023) Vol. 84, pp. 102032-102032
Open Access | Times Cited: 18

Digital Twins for Water Distribution Systems
Emily Zechman Berglund, M. Ehsan Shafiee, Lu Xing, et al.
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 3
Closed Access | Times Cited: 17

Assessing and forecasting collective urban heat exposure with smart city digital twins
Xiyu Pan, Dimitris Mavrokapnidis, Hoang T. Ly, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Situational Aware Access Control to Prevent Android Malware
Krzysiek Skalski, Katarzyna Dombrokova, Wojciech Szczawinski
(2024)
Open Access | Times Cited: 6

Opportunities and obstacles of blockchain use in pursuit of sustainable development goal 11: A systematic scoping review
Mohsen Shahmohammadi, Mohammad Milad Salamattalab, Wonmin Sohn, et al.
Sustainable Cities and Society (2024) Vol. 112, pp. 105620-105620
Closed Access | Times Cited: 5

Exploring the Sustainability Benefits of Digital Twin Technology in Achieving Resilient Smart Cities During Strong Earthquake Events
Ahed Habib, Maan Habib, Bashar Bashir, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access

A Resident-Centric Framework for Postdisaster Infrastructure Recovery: Characterizing Hierarchical Needs and Fulfillment Cycles to Assess Urban Resilience
Zeyu Zhao, Xiaoshan Zhou, Zhizhi Lin, et al.
Journal of Management in Engineering (2025) Vol. 41, Iss. 3
Closed Access

Urban flooding digital twin system framework
Chenyu Ge, Shengfeng Qin
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access

Toward Community-Centered Planning of Infrastructure Restorations by Integrating Community Demographics and Public Facilities
Yudi Chen, Lingzhi Li, Li Wan, et al.
Journal of Management in Engineering (2025) Vol. 41, Iss. 3
Closed Access

Game engine-empowered digital twin for seismic damage simulation of buildings
Jun Jiang, Xiong Chen, Zhen Xu, et al.
Engineering Structures (2025) Vol. 330, pp. 119839-119839
Closed Access

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