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:
Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network
Sara Lafia, Lizhou Fan, Andrea K. Thomer, et al.
Quantitative Science Studies (2022) Vol. 3, Iss. 3, pp. 694-714
Open Access | Times Cited: 7
Sara Lafia, Lizhou Fan, Andrea K. Thomer, et al.
Quantitative Science Studies (2022) Vol. 3, Iss. 3, pp. 694-714
Open Access | Times Cited: 7
Showing 7 citing articles:
Tracing data: A survey investigating disciplinary differences in data citation
Kathleen Gregory, Anton Ninkov, Chantal Ripp, et al.
Quantitative Science Studies (2023) Vol. 4, Iss. 3, pp. 622-649
Open Access | Times Cited: 16
Kathleen Gregory, Anton Ninkov, Chantal Ripp, et al.
Quantitative Science Studies (2023) Vol. 4, Iss. 3, pp. 622-649
Open Access | Times Cited: 16
How are exclusively data journals indexed in major scholarly databases? An examination of four databases
Chenyue Jiao, Kai Li, Zhichao Fang
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
Chenyue Jiao, Kai Li, Zhichao Fang
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
Disappearing repositories: Taking an infrastructure perspective on the long-term availability of research data
Dorothea Strecker, Heinz Pampel, Rouven Schabinger, et al.
Quantitative Science Studies (2023) Vol. 4, Iss. 4, pp. 839-856
Open Access | Times Cited: 9
Dorothea Strecker, Heinz Pampel, Rouven Schabinger, et al.
Quantitative Science Studies (2023) Vol. 4, Iss. 4, pp. 839-856
Open Access | Times Cited: 9
A dataset for measuring the impact of research data and their curation
Libby Hemphill, Andrea K. Thomer, Sara Lafia, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Libby Hemphill, Andrea K. Thomer, Sara Lafia, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Does the use of unusual combinations of datasets contribute to greater scientific impact?
Yulin Yu, Daniel M. Romero
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 41
Open Access | Times Cited: 2
Yulin Yu, Daniel M. Romero
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 41
Open Access | Times Cited: 2
Lizhou Fan, Sara Lafia, Lingyao Li, et al.
Proceedings of the Association for Information Science and Technology (2023) Vol. 60, Iss. 1, pp. 586-591
Closed Access | Times Cited: 5
Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature
Lizhou Fan, Sara Lafia, Morgan F. Wofford, et al.
(2023), pp. 215-227
Open Access
Lizhou Fan, Sara Lafia, Morgan F. Wofford, et al.
(2023), pp. 215-227
Open Access
