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:

Location Reference Recognition from Texts: A Survey and Comparison
Xuke Hu, Zhiyong Zhou, Hao Li, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-37
Open Access | Times Cited: 30

Showing 26-50 of 30 citing articles:

A Novel Address-Matching Framework Based on Region Proposal
Yizhuo Quan, Yuanfei Chang, Linlin Liang, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 4, pp. 138-138
Open Access

Augmenting web-based tourist support system with microblog analyzed data
Victor Silaa, Fumito Masui, Michał Ptaszyński
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

Gauging, enriching and applying geography knowledge in Pre-trained Language Models
Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103892-103892
Closed Access

Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news
Andreas Grivas, Claire Grover, Richard Tobin, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103910-103910
Open Access

Role of Geolocation Prediction in Disaster Management
Reem Suwaileh, Tamer Elsayed, Muhammad Imran
International Handbook of Disaster Research (2023), pp. 647-677
Closed Access

Event-Location Tracking in Narratives: A Case Study on Holocaust Testimonies
Eitan Wagner, Renana Keydar, Omri Abend
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 8789-8805
Open Access

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