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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:

Study becomes insight: Ecological learning from machine learning
Qiuyan Yu, Wenjie Ji, Lara Prihodko, et al.
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 11, pp. 2117-2128
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 392
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: 184
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 26
Predictive models aren't for causal inference
Suchinta Arif, M. Aaron MacNeil
Ecology Letters (2022) Vol. 25, Iss. 8, pp. 1741-1745
Closed Access | Times Cited: 69
Seasonally disparate responses of surface thermal environment to 2D/3D urban morphology
Jike Chen, Wenfeng Zhan, Peijun Du, et al.
Building and Environment (2022) Vol. 214, pp. 108928-108928
Closed Access | Times Cited: 55
Advances and applications of machine learning and deep learning in environmental ecology and health
Shixuan Cui, Yuchen Gao, Yizhou Huang, et al.
Environmental Pollution (2023) Vol. 335, pp. 122358-122358
Closed Access | Times Cited: 31
Multi-city assessments of human exposure to extreme heat during heat waves in the United States
Jia Hu, Yuyu Zhou, Yingbao Yang, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113700-113700
Closed Access | Times Cited: 28
Effects of heavy metal exposure on hypertension: A machine learning modeling approach
Wenxiang Li, Guangyi Huang, Ningning Tang, et al.
Chemosphere (2023) Vol. 337, pp. 139435-139435
Closed Access | Times Cited: 26
Exploring sludge yield patterns through interpretable machine learning models in China's municipal wastewater treatment plants
Y. Hu, Renke Wei, Ke Yu, et al.
Resources Conservation and Recycling (2024) Vol. 204, pp. 107467-107467
Closed Access | Times Cited: 10
Global evidence for joint effects of multiple natural and anthropogenic drivers on soil nitrogen cycling
Yong Zhang, Xiaoli Cheng, César Terrer, et al.
Global Change Biology (2024) Vol. 30, Iss. 5
Closed Access | Times Cited: 6
Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities
Abdulhakim M. Abdi, Martin Brandt, Christin Abel, et al.
Journal of Remote Sensing (2022) Vol. 2022
Open Access | Times Cited: 24
Empirical evidence of climate change and urbanization impacts on warming stream temperatures
Vaughn Grey, Kate Smith‐Miles, Tim D. Fletcher, et al.
Water Research (2023) Vol. 247, pp. 120703-120703
Open Access | Times Cited: 14
Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3172-3172
Open Access | Times Cited: 21
Effects of Various Heavy Metal Exposures on Insulin Resistance in Non-diabetic Populations: Interpretability Analysis from Machine Learning Modeling Perspective
Jun Liu, Xingyu Li, Peng Zhu
Biological Trace Element Research (2024) Vol. 202, Iss. 12, pp. 5438-5452
Closed Access | Times Cited: 4
Contribution and Marginal Effects of Landscape Patterns on Thermal Environment: A Study Based on the BRT Model
T.T. Li, Xiaohui Huang, Hao‐Bo Guo, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2388-2388
Open Access | Times Cited: 4
Evidence of horizontal gene transfer and environmental selection impacting antibiotic resistance evolution in soil-dwelling Listeria
Ying‐Xian Goh, Sai Manohar Balu Anupoju, Anthony Nguyen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Impact of Environmental Factors of Stream Ecosystems on Aquatic Invertebrate Communities
Jong-Won Lee, Sang‐Woo Lee, Heera Lee, et al.
Sustainability (2025) Vol. 17, Iss. 3, pp. 1252-1252
Open Access
Investigating the drivers of temporal and spatial dynamics in urban forest bird acoustic patterns
Yang Yun-feng, Zhewen Ye, Zhiying Zhang, et al.
Journal of Environmental Management (2025) Vol. 376, pp. 124554-124554
Closed Access
Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling
Liguo Zhang, Jiarui Gao, Liangyu Zhao, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3884-3884
Open Access
Time series modelling spatiotemporal changes in Biogeoclimatic ecosystem classification (BEC) zones between 1997 and 2019 in West-Central British Columbia, Canada
Ilythia D. Morley, Kevin Hanna, Chris T. Darimont, et al.
Ecological Informatics (2025), pp. 103155-103155
Open Access
Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data
Martin Marzidovšek, Janja Francé, Vid Podpečan, et al.
Harmful Algae (2024) Vol. 139, pp. 102728-102728
Open Access | Times Cited: 3
Modelling Fresh and Dry Weight of Aboveground Biomass of Plant Community and Taxonomic Group Using Normalized Difference Vegetation Index and Climate Data in Xizang’s Grasslands
Fusong Han, Rang Ding, Yujie Deng, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1515-1515
Open Access | Times Cited: 2
Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models
Marek Kruk, Anna Maria Goździejewska, Piotr Artiemjew
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Exploring the relationship between heavy metals and diabetic retinopathy: a machine learning modeling approach
Yanchao Gui, Si-Yu Gui, Xinchen Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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