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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:

Enhancing big data in the social sciences with crowdsourcing: Data augmentation practices, techniques, and opportunities
Nathaniel D. Porter, Ashton M. Verdery, S. Michael Gaddis
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0233154-e0233154
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Thirty-three myths and misconceptions about population data: from data capture and processing to linkage
Peter Christen, Rainer Schnell
International Journal for Population Data Science (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 24
Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics
Muhammad Arshad, Aneela Qadir, Waqar Ahmad, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
Sambandh Bhusan Dhal, Debashish Kar
Forecasting (2024) Vol. 6, Iss. 4, pp. 925-951
Open Access | Times Cited: 5
Signaling Class: An Examination of the Treatment Validity of Names Used to Signal Race in Bias Experiments with Methodological Recommendations for Name Selection
S. Michael Gaddis
(2024)
Open Access | Times Cited: 3
Assessing relevance of tweets for risk communication
Xiaohui Liu, Bandana Kar, Chaoyang Zhang, et al.
International Journal of Digital Earth (2018) Vol. 12, Iss. 7, pp. 781-801
Closed Access | Times Cited: 30
On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices
Jorge Ramírez, Burcu Sayin, Marcos Báez, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-34
Open Access | Times Cited: 19
The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection
Zhao Ren, Yi Chang, Katrin D. Bartl-Pokorny, et al.
Journal of Voice (2022) Vol. 38, Iss. 6, pp. 1264-1277
Open Access | Times Cited: 10
Using K-Means Cluster Analysis and Decision Trees to Highlight Significant Factors Leading to Homelessness
Andrea Yoder Clark, Nicole Blumenfeld, Eric Lal, et al.
Mathematics (2021) Vol. 9, Iss. 17, pp. 2045-2045
Open Access | Times Cited: 12
Relationships, race/ethnicity, gender, age, and living kidney donation evaluation willingness
Jonathan Daw, Mary Roberts, Zarmeen Salim, et al.
Transplant Immunology (2024) Vol. 83, pp. 101980-101980
Open Access | Times Cited: 1
Signaling Class: An Examination of the Treatment Validity of Names Used to Signal Race in Bias Experiments with Methodological Recommendations for Name Selection
S. Michael Gaddis
SSRN Electronic Journal (2019)
Open Access | Times Cited: 11
Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey
Banuchitra Suruliraj, Kitti Bessenyei, Alexa Bagnell, et al.
JMIR Formative Research (2021) Vol. 5, Iss. 4, pp. e24180-e24180
Open Access | Times Cited: 9
Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
Yu Kuei Lin, Sean Newman, John D. Piette
Journal of Medical Internet Research (2023) Vol. 25, pp. e43593-e43593
Open Access | Times Cited: 3
Crowdsourcing Subjective Annotations Using Pairwise Comparisons Reduces Bias and Error Compared to the Majority-vote Method
Hasti Nariman Zadeh, Arash Badie-Modiri, Iuliia Smirnova, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-29
Open Access | Times Cited: 3
DREC
Jorge Ramírez, Marcos Báez, Fabio Casati, et al.
(2020), pp. 377-382
Closed Access | Times Cited: 8
Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challenges
Stefaan Verhulst
Springer eBooks (2023), pp. 19-40
Closed Access | Times Cited: 2
Multidimensional Scientometric Analysis for the Gig Economy
Sergen Gürsoy
Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi (2023) Vol. 24, Iss. 2, pp. 195-210
Open Access | Times Cited: 2
Antecedents of researchers’ behavioral intentions to use crowdsourcing in science: a multilevel approach
Regina Lenart-Gansiniec, Wojciech Czakon, Natanya Meyer
Review of Managerial Science (2024)
Open Access
Crowdsourcing in Management Research
Regina Lenart-Gansiniec
(2024)
Open Access
Experts, coders and crowds: An analysis of substitutability
Kyle L. Marquardt, Daniel Pemstein, Constanza Sanhueza Petrarca, et al.
International Political Science Review (2024)
Open Access
Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion
Weili Yin, Wenxue Ran
SAGE Open (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 1
A Web-Based Digital Contact Tracing Strategy Addresses Stigma Concerns Among Individuals Evaluated for COVID-19
Jesús Cantú, Meghana Keswani, Ali Pourmand
Telemedicine Journal and e-Health (2021) Vol. 28, Iss. 3, pp. 317-324
Closed Access | Times Cited: 2
A Deep Learning-Based Framework for the Classification of Non-functional Requirements
Maliha Sabir, Ebad Banissi, Mike Child
Advances in intelligent systems and computing (2021), pp. 591-601
Closed Access | Times Cited: 1
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Jorge Ramírez, Burcu Sayin, Marcos Báez, et al.
(2021)
Closed Access | Times Cited: 1
Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method
Hasti Nariman Zadeh, Arash Badie-Modiri, Iuliia Smirnova, et al.
arXiv (Cornell University) (2023)
Open Access
On the impact of predicate complexity in crowdsourced classification tasks
Jorge Ramírez, Marcos Báez, Fabio Casati, et al.
arXiv (Cornell University) (2020)
Closed Access
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