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 26-50 of 156 citing articles:

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane
Nayomi Kankanamge, Tan Yiğitcanlar, Ashantha Goonetilleke
Telematics and Informatics (2021) Vol. 65, pp. 101729-101729
Open Access | Times Cited: 42

The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
(2021)
Open Access | Times Cited: 41

An Integrated Approach for Post-Disaster Flood Management Via the Use of Cutting-Edge Technologies and UAVs: A Review
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7925-7925
Open Access | Times Cited: 40

Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review
Koorosh Azizi, Stephen Kofi Diko, Laura Saija, et al.
Urban Climate (2022) Vol. 44, pp. 101237-101237
Closed Access | Times Cited: 32

Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Pengcheng Zhong, Yueyi Liu, Hang Zheng, et al.
Water Resources Management (2023) Vol. 38, Iss. 1, pp. 287-301
Open Access | Times Cited: 19

Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Zihui Ma, Lingyao Li, Libby Hemphill, et al.
Sustainable Cities and Society (2024) Vol. 106, pp. 105362-105362
Closed Access | Times Cited: 6

Public's social media use during the Kahramanmaraş earthquakes on 6 February 2023
Sefa Mızrak
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104541-104541
Closed Access | Times Cited: 6

Appraisal of Urban Waterlogging and Extent Damage Situation after the Devastating Flood
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Xiaotao Shi, et al.
Water Resources Management (2024) Vol. 38, Iss. 12, pp. 4911-4931
Closed Access | Times Cited: 5

Data-Driven Methodology to Quantify Traffic Resilience of Communities from Crowdsourced Location Data
Francisco Contreras, Cristina Torres-Machí
International Journal of Disaster Risk Reduction (2025), pp. 105219-105219
Closed Access

Exploring the antecedents of mobile social media subscribers’ unfollowing intention during natural disasters
Houcai Wang, Zhenya Tang, Xiaoliang Long, et al.
Journal of Risk Research (2025), pp. 1-25
Closed Access

Enriching the metadata of map images: a deep learning approach with geographic information systems-based data augmentation
Entaj Tarafder, Sabira Khatun, Muhammad Awais, et al.
Elsevier eBooks (2025), pp. 181-203
Closed Access

Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace
Ziyi Wang, Debin Ma, Ru Pang, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 11, pp. 632-632
Open Access | Times Cited: 43

Crowdsourced social media and mobile phone signaling data for disaster impact assessment: A case study of the 8.8 Jiuzhaigou earthquake
Ziyao Xing, Xiaodong Zhang, Xuli Zan, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 58, pp. 102200-102200
Closed Access | Times Cited: 34

Extracting disaster information based on Sina Weibo in China: A case study of the 2019 Typhoon Lekima
Kejie Wu, Jidong Wu, Wei Ding, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 60, pp. 102304-102304
Closed Access | Times Cited: 34

Predicting factors influencing intention to donate for super Typhoon Odette victims: A structural equation model forest classifier approach
Yoshiki B. Kurata, Yogi Tri Prasetyo, Ardvin Kester S. Ong, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103287-103287
Closed Access | Times Cited: 22

Automatic detection of actual water depth of urban floods from social media images
Jingru Li, Ruying Cai, Yi Tan, et al.
Measurement (2023) Vol. 216, pp. 112891-112891
Closed Access | Times Cited: 14

Trends in bushfire related tweets during the Australian ‘Black Summer’ of 2019/20
Kerstin K. Zander, Stephen T. Garnett, Robert Ogie, et al.
Forest Ecology and Management (2023) Vol. 545, pp. 121274-121274
Open Access | Times Cited: 12

Scientific Landscape of Sustainable Urban and Rural Areas Research: A Systematic Scientometric Analysis
Yahya Sheikhnejad, Tan Yiğitcanlar
Sustainability (2020) Vol. 12, Iss. 4, pp. 1293-1293
Open Access | Times Cited: 37

Detecting Changes in Perceptions towards Smart City on Chinese Social Media: A Text Mining and Sentiment Analysis
Aobo Yue, Chao Mao, Linyan Chen, et al.
Buildings (2022) Vol. 12, Iss. 8, pp. 1182-1182
Open Access | Times Cited: 21

How do Australians use social media during natural hazards? A survey
Kerstin K. Zander, Rifka Sibarani, Jonatan Lassa, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103207-103207
Open Access | Times Cited: 21

An AI/ML-Based Strategy for Disaster Response and Evacuation of Victims in Aged Care Facilities in the Hawkesbury-Nepean Valley: A Perspective
Hafiz Suliman Munawar, Mohammad Mojtahedi, Ahmed W. A. Hammad, et al.
Buildings (2022) Vol. 12, Iss. 1, pp. 80-80
Open Access | Times Cited: 19

State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review
Jiayi Song, Zhiyu Shao, Ziyi Zhan, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2476-2476
Open Access | Times Cited: 3

Assessing the 2022 Flood Impacts in Queensland Combining Daytime and Nighttime Optical and Imaging Radar Data
Noam Levin, Stuart Phinn
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 5009-5009
Open Access | Times Cited: 18

A systematic literature review on the use of big data analytics in humanitarian and disaster operations
Abhilash Kondraganti, Gopalakrishnan Narayanamurthy, Hossein Sharifi
Annals of Operations Research (2022) Vol. 335, Iss. 3, pp. 1015-1052
Open Access | Times Cited: 16

Linking social capital and gender relationships in adaptation to a post-cyclone recovery context
Momtaj Bintay Khalil, Brent Jacobs, Kylie McKenna
International Journal of Disaster Risk Reduction (2021) Vol. 66, pp. 102601-102601
Closed Access | Times Cited: 22

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