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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:

Determining disaster severity through social media analysis: Testing the methodology with South East Queensland Flood tweets
Nayomi Kankanamge, Tan Yiğitcanlar, Ashantha Goonetilleke, et al.
International Journal of Disaster Risk Reduction (2019) Vol. 42, pp. 101360-101360
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature
Tan Yiğitcanlar, Kevin C. Desouza, Luke Butler, et al.
Energies (2020) Vol. 13, Iss. 6, pp. 1473-1473
Open Access | Times Cited: 373
How Are Smart City Concepts and Technologies Perceived and Utilized? A Systematic Geo-Twitter Analysis of Smart Cities in Australia
Tan Yiğitcanlar, Nayomi Kankanamge, Karen Vella
Journal of Urban Technology (2020) Vol. 28, Iss. 1-2, pp. 135-154
Open Access | Times Cited: 159
Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?
Tan Yiğitcanlar, Nayomi Kankanamge, Massimo Regona, et al.
Journal of Open Innovation Technology Market and Complexity (2020) Vol. 6, Iss. 4, pp. 187-187
Open Access | Times Cited: 157
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 98
Analytics of social media data – State of characteristics and application
Cécile Zachlod, Olga Samuel, Andrea Ochsner, et al.
Journal of Business Research (2022) Vol. 144, pp. 1064-1076
Open Access | Times Cited: 79
Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Fae Coleen Lagura, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 63, pp. 102467-102467
Closed Access | Times Cited: 96
Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises
Shivam Behl, Aman Rao, Sahil Aggarwal, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 55, pp. 102101-102101
Closed Access | Times Cited: 81
How engaging are disaster management related social media channels? The case of Australian state emergency organisations
Nayomi Kankanamge, Tan Yiğitcanlar, Ashantha Goonetilleke
International Journal of Disaster Risk Reduction (2020) Vol. 48, pp. 101571-101571
Open Access | Times Cited: 80
Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices
Gaspare D’Amico, Pasqua L’Abbate, Wenjie Liao, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4391-4391
Open Access | Times Cited: 74
A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters
Shalak Mendon, Pankaj Dutta, Abhishek Behl, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 5, pp. 1145-1168
Open Access | Times Cited: 72
Hydraulic modelling of inland urban flooding: Recent advances
Emmanuel Mignot, Benjamin Dewals
Journal of Hydrology (2022) Vol. 609, pp. 127763-127763
Open Access | Times Cited: 65
Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning
Ebtesam Alomari, Iyad Katib, Aiiad Albeshri, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 2993-2993
Open Access | Times Cited: 61
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Yao Li, Frank Osei, Tangao Hu, et al.
Sustainable Cities and Society (2022) Vol. 88, pp. 104307-104307
Open Access | Times Cited: 58
Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data
Yan Zhang, Zeqiang Chen, Xiang Zheng, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127053-127053
Closed Access | Times Cited: 56
Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia?
Massimo Regona, Tan Yiğitcanlar, Bo Xia, et al.
Journal of Open Innovation Technology Market and Complexity (2022) Vol. 8, Iss. 1, pp. 16-16
Open Access | Times Cited: 46
Understanding Urban Heat Vulnerability Assessment Methods: A PRISMA Review
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 6998-6998
Open Access | Times Cited: 42
Real-time social media sentiment analysis for rapid impact assessment of floods
Lydia Bryan-Smith, Jake Godsall, Franky George, et al.
Computers & Geosciences (2023) Vol. 178, pp. 105405-105405
Open Access | Times Cited: 25
Barriers to information and digital technology adoption in humanitarian supply chain management: a fuzzy AHP approach
Gaurav Kabra, A. Ramesh, Vipul Jain, et al.
Journal of Enterprise Information Management (2023)
Open Access | Times Cited: 22
How effective is twitter (X) social media data for urban flood management?
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
AI for crisis decisions
Tina Comes
Ethics and Information Technology (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 8
Analysing barriers to humanitarian logistics for distributing relief aid in pre- and post-disaster situations
Pradeep Kumar Tarei, Kapil Gumte, Jayshree Patnaik, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 104, pp. 104388-104388
Closed Access | Times Cited: 7
Spatiotemporal assessment of urban flooding hazard using social media: A case study of Zhengzhou ‘7·20’
Jiaqi Peng, Jianming Zhang
Environmental Modelling & Software (2024) Vol. 176, pp. 106021-106021
Closed Access | Times Cited: 7
The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework
Erich Wolff
Progress in Disaster Science (2021) Vol. 10, pp. 100171-100171
Open Access | Times Cited: 54
How can social media analytics assist authorities in pandemic-related policy decisions? Insights from Australian states and territories
Tan Yiğitcanlar, Nayomi Kankanamge, Alexander Preston, et al.
Health Information Science and Systems (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 50
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis
Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
Applied Intelligence (2021) Vol. 51, Iss. 5, pp. 3052-3073
Open Access | Times Cited: 49
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