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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:

Machine learning and deep learning—A review for ecologists
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 4, pp. 994-1016
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 112
Foundations and Future Directions for Causal Inference in Ecological Research
Katherine Siegel, Laura E. Dee
Ecology Letters (2025) Vol. 28, Iss. 1
Closed Access | Times Cited: 2
Assessment of environmental and socioeconomic drivers of urban stormwater microplastics using machine learning
Mir Amir Mohammad Reshadi, Fereidoun Rezanezhad, Ali Reza Shahvaran, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Machine learning for predicting urban greenhouse gas emissions: A systematic literature review
Yukai Jin, Ayyoob Sharifi
Renewable and Sustainable Energy Reviews (2025) Vol. 215, pp. 115625-115625
Open Access | Times Cited: 2
Novel community data in ecology-properties and prospects
Florian Härtig, Nerea Abrego, Alex Bush, et al.
Trends in Ecology & Evolution (2023) Vol. 39, Iss. 3, pp. 280-293
Open Access | Times Cited: 38
Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy conversion
Shou-Dong Zhu, Nathan Preuss, Fengqi You
Journal of Cleaner Production (2023) Vol. 422, pp. 138606-138606
Closed Access | Times Cited: 25
Machine Learning and Deep Learning for Big Data Analysis
T. Pradhan, Prathamesh Nimkar, Kavita Jhajharia
Advances in business information systems and analytics book series (2024), pp. 209-240
Closed Access | Times Cited: 13
Review of applications of artificial intelligence (AI) methods in crop research
Suvojit Bose, Saptarshi Banerjee, Soumya Kumar, et al.
Journal of Applied Genetics (2024) Vol. 65, Iss. 2, pp. 225-240
Closed Access | Times Cited: 12
Insect detect: An open-source DIY camera trap for automated insect monitoring
Maximilian Sittinger, Johannes Uhler, M. A. Pink, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0295474-e0295474
Open Access | Times Cited: 12
Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML
Fei He, Suxia Liu, Xingguo Mo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Predicting invasion success of naturalized cultivated plants in China
Bi‐Cheng Dong, Ran Dong, Qiang Yang, et al.
Journal of Applied Ecology (2025)
Closed Access | Times Cited: 1
Data-driven models for predicting community changes in freshwater ecosystems: A review
Da‐Yeong Lee, Dae‐Seong Lee, YoonKyung Cha, et al.
Ecological Informatics (2023) Vol. 77, pp. 102163-102163
Closed Access | Times Cited: 19
Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning
Yujie Mo, Raven L. Bier, Xiaolin Li, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Harnessing large language models for coding, teaching and inclusion to empower research in ecology and evolution
Natalie Cooper, Adam Thomas Clark, Nicolas Lecomte, et al.
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 10, pp. 1757-1763
Open Access | Times Cited: 7
‘cito': an R package for training neural networks using ‘torch'
Christian Amesöder, Florian Härtig, Maximilian Pichler
Ecography (2024) Vol. 2024, Iss. 6
Open Access | Times Cited: 7
Climate warming accelerates carbon release from foliar litter—A global synthesis
Zihao Chen, Xiangyin Ni, Guillaume Patoine, et al.
Global Change Biology (2024) Vol. 30, Iss. 5
Closed Access | Times Cited: 7
Individual identification in acoustic recordings
Elly C. Knight, Tessa A. Rhinehart, Devin R. de Zwaan, et al.
Trends in Ecology & Evolution (2024) Vol. 39, Iss. 10, pp. 947-960
Closed Access | Times Cited: 6
A Comparison of Deep Learning Architectures for Inferring Parameters of Diversification Models from Extant Phylogenies
Ismaël Lajaaiti, Sophia Lambert, Jakub Voznica, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
Applications of machine learning to identify and characterize the sounds produced by fish
Viviane R. Barroso, Fábio Contrera Xavier, Carlos E. L. Ferreira
ICES Journal of Marine Science (2023) Vol. 80, Iss. 7, pp. 1854-1867
Open Access | Times Cited: 13
Effects of sample size, data quality, and species response in environmental space on modeling species distributions
Lifei Wang, Donald A. Jackson
Landscape Ecology (2023) Vol. 38, Iss. 12, pp. 4009-4031
Closed Access | Times Cited: 13
Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity
Yuanheng Li, Christian Devenish, Marie I. Tosa, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 5
Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review
Sofonyas Abebaw Tiruneh, Tra Thuan Thanh Vu, Daniel L. Rolnik, et al.
Current Hypertension Reports (2024) Vol. 26, Iss. 7, pp. 309-323
Open Access | Times Cited: 5
The use of machine learning in species threats and conservation analysis
Vasco Veiga Branco, Luís Correia, Pedro Cardoso
Biological Conservation (2023) Vol. 283, pp. 110091-110091
Open Access | Times Cited: 12
Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective
Sajjad Reyhani Haghighi, Mikaeel Pasandideh Saqalaksari, Scott N. Johnson
Bulletin of the Ecological Society of America (2023) Vol. 104, Iss. 4
Open Access | Times Cited: 12
Future-proofing environmental DNA and trait-based predictions of food webs
Cátia Lúcio Pereira, Zeynep Ersoy, M. Thomas P. Gilbert, et al.
BioScience (2023) Vol. 73, Iss. 12, pp. 862-878
Closed Access | Times Cited: 12
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