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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:

Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring
Eva C. McClure, Michael Sievers, Christopher J. Brown, et al.
Patterns (2020) Vol. 1, Iss. 7, pp. 100109-100109
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective
Ellen M. Ditria, Christina A. Buelow, Manuel González‐Rivero, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 68
Marine Citizen Science: Current State in Europe and New Technological Developments
Carlos García-Soto, J. Seys, Oliver Zielinski, et al.
Frontiers in Marine Science (2021) Vol. 8
Open Access | Times Cited: 60
Human-machine-learning integration and task allocation in citizen science
Marisa Ponti, Alena Seredko
Humanities and Social Sciences Communications (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 54
Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
Alexa Sugpatan Abangan, Dorothée Kopp, Robin Faillettaz
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 21
Hybrid Intelligence for Marine Biodiversity: Integrating Citizen Science with AI for Enhanced Intertidal Conservation Efforts at Cape Santiago, Taiwan
Vincent Y. Chen, Dau‐Jye Lu, Yu‐San Han
Sustainability (2024) Vol. 16, Iss. 1, pp. 454-454
Open Access | Times Cited: 9
The Partnership of Citizen Science and Machine Learning: Benefits, Risks, and Future Challenges for Engagement, Data Collection, and Data Quality
Maryam Lotfian, Jens Ingensand, Maria Antonia Brovelli
Sustainability (2021) Vol. 13, Iss. 14, pp. 8087-8087
Open Access | Times Cited: 49
Empowering local communities using artificial intelligence
Yen-Chia Hsu, Ting-Hao Huang, Himanshu Verma, et al.
Patterns (2022) Vol. 3, Iss. 3, pp. 100449-100449
Open Access | Times Cited: 36
Mapping Citizen Science through the Lens of Human-Centered AI
Janet Rafner, Miroslav Gajdacz, Gitte Kragh, et al.
Human Computation (2022) Vol. 9, Iss. 1, pp. 66-95
Open Access | Times Cited: 31
Citizen science and negotiating values in the ethical design of AI-based technologies targeting vulnerable individuals
Alessandra Cenci
AI and Ethics (2025)
Open Access
Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots
Jung-Il Kim, Jong-Won Baek, Chang-Bae Kim
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The use of artificial intelligence in public administration: Bibliometric analysis
Іhor Rekunenko, Яна Кобушко, Oleksii Dzydzyguri, et al.
Problems and Perspectives in Management (2025) Vol. 23, Iss. 1, pp. 209-224
Open Access
Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects
Isaak Eijkelboom, Anne S. Schulp, Luc Amkreutz, et al.
PeerJ (2025) Vol. 13, pp. e18927-e18927
Open Access
A systematic literature review of citizen science in urban studies and regional urban planning: policy, practical, and research implications
Donizete Beck, Juliana Miranda Mitkiewicz
Urban Ecosystems (2025) Vol. 28, Iss. 2
Closed Access
The academic impact of Open Science: a scoping review
Thomas Klebel, Vincent Traag, Ioanna Grypari, et al.
Royal Society Open Science (2025) Vol. 12, Iss. 3
Open Access
Supplementing human observation with artificial intelligence impacts demographic estimates for a critically endangered lizard
Emily A. Jordan, John G. Ewen, Rod Hitchmough, et al.
Ecological Solutions and Evidence (2025) Vol. 6, Iss. 1
Open Access
Automatic underwater fish species classification with limited data using few-shot learning
Sébastien Villon, Corina Iovan, Morgan Mangeas, et al.
Ecological Informatics (2021) Vol. 63, pp. 101320-101320
Open Access | Times Cited: 39
Knowledge Management for Sustainable Development in the Era of Continuously Accelerating Technological Revolutions: A Framework and Models
Meir Russ
Sustainability (2021) Vol. 13, Iss. 6, pp. 3353-3353
Open Access | Times Cited: 34
Incorporating citizen science into IUCN Red List assessments
Rachael V. Gallagher, Erin Roger, Jasmin G. Packer, et al.
Conservation Biology (2024)
Open Access | Times Cited: 4
Exploring the landscape of automated species identification apps: Development, promise, and user appraisal
Minh‐Xuan Truong, René van der Wal
BioScience (2024) Vol. 74, Iss. 9, pp. 601-613
Open Access | Times Cited: 4
Integrating a conceptual framework for the sustainable development goals in the mangrove ecosystem: A systematic review
Indira A. L. Eyzaguirre, Allan Yu Iwama, Marcus Emanuel Barroncas Fernandes
Environmental Development (2023) Vol. 47, pp. 100895-100895
Closed Access | Times Cited: 10
From citizen science to AI models: Advancing cetacean vocalization automatic detection through multi-annotator campaigns
Gabriel Dubus, Dorian Cazau, Maëlle Torterotot, et al.
Ecological Informatics (2024) Vol. 81, pp. 102642-102642
Open Access | Times Cited: 3
Seeing in the dark: A review of the use of side-scan sonar to detect and study manatees, with an emphasis on Latin America
Daniel Gonzalez‐Socoloske, León David Olivera‐Gómez
Latin American Journal of Aquatic Mammals (2023) Vol. 18, Iss. 1, pp. 114-124
Open Access | Times Cited: 8
Exploring Citizen Science over Time: Sensing, Technology and the Law
Anna Berti Suman, Edwin Alblas
Sustainability (2023) Vol. 15, Iss. 5, pp. 4496-4496
Open Access | Times Cited: 8
Social media and deep learning reveal specific cultural preferences for biodiversity
Ilan Havinga, Diego Marcos, P.W. Bogaart, et al.
People and Nature (2023) Vol. 5, Iss. 3, pp. 981-998
Open Access | Times Cited: 8
Smaller Australian raptors have greater urban tolerance
Taylor Headland, Diane Colombelli‐Négrel, Corey T. Callaghan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
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