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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:

Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques
Pakhee Kumar, Ferda Ofli, Muhammad Imran, et al.
Journal on Computing and Cultural Heritage (2020) Vol. 13, Iss. 3, pp. 1-31
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
Mayank Mishra, Paulo B. Lourénço
Journal of Cultural Heritage (2024) Vol. 66, pp. 536-550
Open Access | Times Cited: 38
Digitalizing cultural heritage through metaverse applications: challenges, opportunities, and strategies
Dipima Buragohain, Yahui Meng, Chaoqun Deng, et al.
Heritage Science (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey
Arkaprabha Basu, Sandip Paul, Sreeya Ghosh, et al.
IEEE Access (2023) Vol. 11, pp. 53939-53977
Open Access | Times Cited: 21
Risk protection for cultural heritage and historic centres: Current knowledge and further research needs
Xavier Romão, Chiara Bertolin
International Journal of Disaster Risk Reduction (2021) Vol. 67, pp. 102652-102652
Closed Access | Times Cited: 40
Machine intelligence for interpretation and preservation of built heritage
Xiaoyi Zu, Chen Gao, Yongkang Liu, et al.
Automation in Construction (2025) Vol. 172, pp. 106055-106055
Closed Access
Using the improved YOLOv7-Seg model to segment symbols from rock art images
Dongxu Huo, Yang Su, Miaole Hou
(2025) Vol. 13, Iss. 1
Open Access
Deng entropy and LSTM neural network to classify built cultural heritage with severe damage
Aldo Ramírez-Arellano, Edgar Mauricio Muñoz-Silva, Mayra Antonio-Cruz, et al.
Journal of Cultural Heritage (2025) Vol. 73, pp. 286-294
Open Access
Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review
Nilani Algiriyage, Raj Prasanna, Kristin Stock, et al.
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 25
Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks
Shakhnoza Muksimova, Sabina Umirzakova, Sevara Mardieva, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 98-98
Open Access | Times Cited: 23
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment
Yang Zhang, Ruohan Zong, Ziyi Kou, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 5, pp. 1515-1529
Open Access | Times Cited: 21
Surface Damage Identification for Heritage Site Protection: A Mobile Crowd-sensing Solution Based on Deep Learning
Safia Meklati, Kenza Boussora, Mohamed El Hafedh Abdi, et al.
Journal on Computing and Cultural Heritage (2022) Vol. 16, Iss. 2, pp. 1-24
Closed Access | Times Cited: 13
Artificial Intelligence at the Interface between Cultural Heritage and Photography: A Systematic Literature Review
Carmen Lucia Souza da Silva, Lídia Oliveira
Heritage (2024) Vol. 7, Iss. 7, pp. 3799-3820
Open Access | Times Cited: 2
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment
Yang Zhang, Ruohan Zong, Ziyi Kou, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW2, pp. 1-29
Closed Access | Times Cited: 9
Cultural Perception of the Historical and Cultural Blocks of Beijing Based on Weibo Photos
Siyu Chen, Bin Meng, Na Liu, et al.
Land (2022) Vol. 11, Iss. 4, pp. 495-495
Open Access | Times Cited: 8
The Impact of Artificial Intelligence on Tourism Sustainability: A Systematic Mapping Review
Fisnik Dalipi, Zenun Kastrati, Timmy Öberg
(2023) Vol. 15, pp. 119-125
Closed Access | Times Cited: 4
Applications of deep learning to infrared thermography for the automatic classification of thermal pathologies: Review and case study
S. Lagüela, Iván Garrido, Jesús Balado, et al.
Elsevier eBooks (2024), pp. 103-132
Closed Access | Times Cited: 1
Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review
Valeria Giannuzzi, Fabio Fatiguso
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7116-7116
Open Access | Times Cited: 1
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing
Yang Zhang, Ruohan Zong, Lanyu Shang, et al.
(2021), pp. 151-158
Closed Access | Times Cited: 10
Resilience Adaptation Approach for Reducing the Negative Impact of Climate Change on Coastal Heritage Sites through Machine Learning
Yasmine Sabry Hegazi
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10916-10916
Open Access | Times Cited: 5
Detecting and locating trending places using multimodal social network data
Luis Lucas, David Tomás, José García‐Rodríguez
Multimedia Tools and Applications (2022) Vol. 82, Iss. 24, pp. 38097-38116
Open Access | Times Cited: 5
Robust Training of Social Media Image Classification Models
Firoj Alam, Tanvirul Alam, Ferda Ofli, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 1, pp. 546-565
Open Access | Times Cited: 5
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
Yang Zhang, Ruohan Zong, Ziyi Kou, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107984-107984
Open Access | Times Cited: 7
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
Yang Zhang, Ruohan Zong, Lanyu Shang, et al.
(2023), pp. 6317-6325
Open Access | Times Cited: 2
Understanding the Visual Relationship between Function and Facade in Historic Buildings Using Deep Learning—A Case Study of the Chinese Eastern Railway
Peilun Li, Zhiqing Zhao, Bocheng Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 15857-15857
Open Access | Times Cited: 2
Social Media, Disasters, and Cultural Heritage: An Analysis of Twitter Images of the 2015 Nepal Earthquake
Pakhee Kumar
Visual Communication Quarterly (2022) Vol. 29, Iss. 1, pp. 34-46
Open Access | Times Cited: 4
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