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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:

Explainable AI for earth observation: A review including societal and regulatory perspectives
Caroline Gevaert
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102869-102869
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Digital earth: yesterday, today, and tomorrow
Alessandro Annoni, Stefano Nativi, Arzu Çöltekin, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 1022-1072
Open Access | Times Cited: 51
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: 29
A Survey on Explainable Artificial Intelligence for Cybersecurity
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 5115-5140
Open Access | Times Cited: 30
Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability
Arpit Singh, Ashish Dwivedi, Dindayal Agrawal, et al.
Operations Management Research (2023) Vol. 16, Iss. 4, pp. 1667-1683
Open Access | Times Cited: 28
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Example-based explainable AI and its application for remote sensing image classification
Shin-­nosuke Ishikawa, Masato Todo, Masato Taki, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103215-103215
Open Access | Times Cited: 18
Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine
Haifei Chen, Liping Yang, Qiusheng Wu
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4585-4585
Open Access | Times Cited: 18
The responses of ecosystem water use efficiency to CO2, nitrogen deposition, and climatic drivers across China
Xitian Cai, Luyi Li, Joshua B. Fisher, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129696-129696
Closed Access | Times Cited: 17
Precipitation data merging via machine learning: Revisiting conceptual and technical aspects
Panagiotis Kossieris, Ioannis Tsoukalas, Luca Brocca, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131424-131424
Open Access | Times Cited: 7
Towards interpreting machine learning models for predicting soil moisture droughts
Feini Huang, Yongkun Zhang, Ye Zhang, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 7, pp. 074002-074002
Open Access | Times Cited: 15
The importance of cybersecurity frameworks to regulate emergent AI technologies for space applications
Antonio Di Carlo, Nebile Pelin Mantı, Bintang Alam Semesta W.A.M, et al.
Journal of Space Safety Engineering (2023) Vol. 10, Iss. 4, pp. 474-482
Closed Access | Times Cited: 14
A Machine Learning Augmented Data Assimilation Method for High‐Resolution Observations
Lucas Howard, Aneesh C. Subramanian, Ibrahim Hoteit
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Towards interpretable machine learning for observational quantification of soil heavy metal concentrations under environmental constraints
Yishan Sun, Shuisen Chen, Hao Jiang, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171931-171931
Closed Access | Times Cited: 5
Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments
Janina Schneider, André Klüner, Oliver Zielinski
Sensors (2023) Vol. 23, Iss. 10, pp. 4581-4581
Open Access | Times Cited: 12
Crossing Boundaries: The Ethics of AI and Geographic Information Technologies
Isaac Oluoch
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 87-87
Open Access | Times Cited: 4
Explainable AI for Earth observation: current methods, open challenges, and opportunities
Gülşen Taşkın, Erchan Aptoula, Alp Ertürk
Elsevier eBooks (2024), pp. 115-152
Open Access | Times Cited: 4
Exploring the non-linear impacts of urban features on land surface temperature using explainable artificial intelligence
Fei Feng, Yaxue Ren, Chengyang Xu, et al.
Urban Climate (2024) Vol. 56, pp. 102045-102045
Open Access | Times Cited: 4
Interpreting Conv-LSTM for Spatio-Temporal Soil Moisture Prediction in China
Feini Huang, Yongkun Zhang, Ye Zhang, et al.
Agriculture (2023) Vol. 13, Iss. 5, pp. 971-971
Open Access | Times Cited: 10
Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction
Deborah V. Gaso, Dilli Paudel, Allard de Wit, et al.
Agricultural and Forest Meteorology (2024) Vol. 351, pp. 110022-110022
Open Access | Times Cited: 3
Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods
Yue Ying, Shaoqing Dai, Mila Koeva, et al.
Habitat International (2025) Vol. 156, pp. 103288-103288
Open Access
Unraveling the response of forests to drought with explainable artificial intelligence (XAI)
Stenka Vulova, K Horn, Alby Duarte Rocha, et al.
Ecological Indicators (2025) Vol. 172, pp. 113308-113308
Open Access
Advancing microplastics detection and prediction: integrating traditional methods with machine learning for environmental and food safety application
Chi Zhang, Liwen Xiao, Jing Jing Wang, et al.
Trends in Food Science & Technology (2025), pp. 104964-104964
Closed Access
Mini-Review on Petroleum Molecular Geochemistry: Opportunities with Digitalization, Machine Learning, and Artificial Intelligence
Kaiming Su, Yaohui Xu, Qingyong Luo, et al.
Energy & Fuels (2025)
Closed Access
Comparison of deep and shallow one-class classifiers for detecting invasive Prosopis trees in Kenya from airborne hyperspectral data
Ilja Vuorinne, Janne Heiskanen, Zhaozhi Luo, et al.
Ecological Indicators (2025) Vol. 174, pp. 113465-113465
Closed Access
A deep learning pipeline to power infrastructure detection in high-resolution satellite images
Mengqi Ye, Philip J. Ward, Joël J.-F. G. De Plaen, et al.
Big Earth Data (2025), pp. 1-22
Open Access
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