Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management
Carlos Granell, Frank Ostermann
Computers Environment and Urban Systems (2016) Vol. 59, pp. 231-243
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Big Data in Natural Disaster Management: A Review
Manzhu Yu, Chaowei Yang, Yun Li
Geosciences (2018) Vol. 8, Iss. 5, pp. 165-165
Open Access | Times Cited: 353
Big data and disaster management: a systematic review and agenda for future research
Shahriar Akter, Samuel Fosso Wamba
Annals of Operations Research (2017) Vol. 283, Iss. 1-2, pp. 939-959
Closed Access | Times Cited: 286
Social Media data: Challenges, opportunities and limitations in urban studies
Pablo Martí Ciriquián, Leticia Serrano-Estrada, Almudena Nolasco‐Cirugeda
Computers Environment and Urban Systems (2018) Vol. 74, pp. 161-174
Open Access | Times Cited: 261
Social media analytics for natural disaster management
Zheye Wang, Xinyue Ye
International Journal of Geographical Information Science (2017) Vol. 32, Iss. 1, pp. 49-72
Closed Access | Times Cited: 257
Social media for intelligent public information and warning in disasters: An interdisciplinary review
Cheng Zhang, Chao Fan, Wenlin Yao, et al.
International Journal of Information Management (2019) Vol. 49, pp. 190-207
Open Access | Times Cited: 239
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: 158
Digital Twin Smart Cities for Disaster Risk Management: A Review of Evolving Concepts
M.R.M.F. Ariyachandra, Gayan Wedawatta
Sustainability (2023) Vol. 15, Iss. 15, pp. 11910-11910
Open Access | Times Cited: 43
Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions
Feifei Zheng, Ruoling Tao, Holger R. Maier, et al.
Reviews of Geophysics (2018) Vol. 56, Iss. 4, pp. 698-740
Open Access | Times Cited: 118
Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project
Robert Ogie, Rodney J. Clarke, Hugh Forehead, et al.
Computers Environment and Urban Systems (2018) Vol. 73, pp. 108-117
Open Access | Times Cited: 101
Leveraging multimodal social media data for rapid disaster damage assessment
Haiyan Hao, Yan Wang
International Journal of Disaster Risk Reduction (2020) Vol. 51, pp. 101760-101760
Closed Access | Times Cited: 79
Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods
Haifeng Niu, Elisabete A. Silva
Journal of Urban Planning and Development (2020) Vol. 146, Iss. 2
Open Access | Times Cited: 72
Use of Social Media Data in Disaster Management: A Survey
Jedsada Phengsuwan, Tejal Shah, Nipun Balan Thekkummal, et al.
Future Internet (2021) Vol. 13, Iss. 2, pp. 46-46
Open Access | Times Cited: 69
Visualising where commuting cyclists travel using crowdsourced data
David Philip McArthur, Jinhyun Hong
Journal of Transport Geography (2018) Vol. 74, pp. 233-241
Open Access | Times Cited: 63
How Risk Communication via Facebook and Twitter Shapes Behavioral Intentions: The Case of Fine Dust Pollution in South Korea
Woohyun Yoo
Journal of Health Communication (2019) Vol. 24, Iss. 7-8, pp. 663-673
Open Access | Times Cited: 61
The Good, the Bad, and the Uncertain: Contributions of Volunteered Geographic Information to Community Disaster Resilience
Billy Tusker Haworth, Eleanor Bruce, J. E. Whittaker, et al.
Frontiers in Earth Science (2018) Vol. 6
Open Access | Times Cited: 59
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach
Fang Yao, Yan Wang
Computers Environment and Urban Systems (2020) Vol. 83, pp. 101522-101522
Open Access | Times Cited: 56
Assessing the application and value of participatory mapping for community bushfire preparation
Billy Tusker Haworth, J. E. Whittaker, Eleanor Bruce
Applied Geography (2016) Vol. 76, pp. 115-127
Open Access | Times Cited: 55
The importance of volunteered geographic information for the validation of flood inundation models
Edward Rollason, Louise J. Bracken, R. J. Hardy, et al.
Journal of Hydrology (2018) Vol. 562, pp. 267-280
Open Access | Times Cited: 53
Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model
Yandong Wang, Wei Jiang, Senbao Liu, et al.
ISPRS International Journal of Geo-Information (2016) Vol. 5, Iss. 7, pp. 112-112
Open Access | Times Cited: 50
Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information
Yan-Ting Lin, Ming‐Der Yang, Jen-Yu Han, et al.
Remote Sensing (2020) Vol. 12, Iss. 4, pp. 706-706
Open Access | Times Cited: 39
Evaluation of the Opinions of Volunteers Involved in Disaster on the Use of Social Media
Kemal Torpuş, Galip Usta, Esra Beki̇rcan
Disaster Medicine and Public Health Preparedness (2025) Vol. 19
Closed Access
Visualizing emoji usage in geo-social media across time, space, and topic
Samantha Levi, Eva Hauthal, Sagnik Mukherjee, et al.
Frontiers in Communication (2024) Vol. 9
Open Access | Times Cited: 4
An integrated framework for flood disaster information extraction and analysis leveraging social media data: A case study of the Shouguang flood in China
Hong-bing Hou, Li Shen, Jianan Jia, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 174948-174948
Closed Access | Times Cited: 4
Machine Learning for Natural Disaster Prediction and Prevention
V. Vijayagopal, N. Chidambararaj, K. Kavitha, et al.
IGI Global eBooks (2025), pp. 209-230
Closed Access
Hands-On Experience of Crowdsourcing for Flood Risks. An Android Mobile Application Tested in Frederikssund, Denmark
Simone Frigerio, Luca Schenato, Giulia Bossi, et al.
International Journal of Environmental Research and Public Health (2018) Vol. 15, Iss. 9, pp. 1926-1926
Open Access | Times Cited: 32
Page 1 - Next Page

Scroll to top