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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:

An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates
YoonKyung Cha, Jihoon Shin, ByeongGeon Go, et al.
Journal of Environmental Management (2021) Vol. 291, pp. 112719-112719
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost
Xinzhi Zhou, Haijia Wen, Ziwei Li, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13419-13450
Closed Access | Times Cited: 114
Unveiling the Hidden Connections: Using Explainable Artificial Intelligence to Assess Water Quality Criteria in Nine Giant Rivers
Sourav Kundu, P. K. Datta, Puja Pal, et al.
Journal of Cleaner Production (2025), pp. 144861-144861
Closed Access | Times Cited: 2
Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters
Young Woo Kim, TaeHo Kim, Jihoon Shin, et al.
Ecological Indicators (2022) Vol. 137, pp. 108737-108737
Open Access | Times Cited: 47
Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification
Olatomiwa O. Bifarin
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0284315-e0284315
Open Access | Times Cited: 39
Assessment of Wildfire Susceptibility and Wildfire Threats to Ecological Environment and Urban Development Based on GIS and Multi-Source Data: A Case Study of Guilin, China
Weiting Yue, Chao Ren, Yueji Liang, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2659-2659
Open Access | Times Cited: 27
Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
Swapan Talukdar, Shahfahad, Somnath Bera, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119866-119866
Closed Access | Times Cited: 27
Machine learning and explainable AI for chlorophyll-a prediction in Namhan River Watershed, South Korea
Ji Woo Han, TaeHo Kim, Sangchul Lee, et al.
Ecological Indicators (2024) Vol. 166, pp. 112361-112361
Open Access | Times Cited: 11
AI and machine learning in climate change research: A review of predictive models and environmental impact
Ahmad Hamdan, Kenneth Ifeanyi Ibekwe, Emmanuel Augustine Etukudoh, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 1, pp. 1999-2008
Open Access | Times Cited: 9
A SHAP-Enhanced XGBoost Model for Interpretable Prediction of Coseismic Landslides
Haijia Wen, Bo Liu, Mingrui Di, et al.
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3826-3854
Closed Access | Times Cited: 9
Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach
Yongchuang Shi, Lei Yan, Shengmao Zhang, et al.
Frontiers in Marine Science (2025) Vol. 11
Open 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
An Interpretable Machine Learning Model for Daily Global Solar Radiation Prediction
Mohamed Chaibi, El Mahjoub Benghoulam, Lhoussaine Tarik, et al.
Energies (2021) Vol. 14, Iss. 21, pp. 7367-7367
Open Access | Times Cited: 41
Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA
Kelly O. Maloney, Claire Buchanan, Rikke D. Jepsen, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116068-116068
Open Access | Times Cited: 23
Estimation aboveground biomass in subtropical bamboo forests based on an interpretable machine learning framework
Xuejian Li, Huaqiang Du, Fangjie Mao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106071-106071
Open Access | Times Cited: 5
Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction
Seung Ji Lim, Moon Son, Seo Jin Ki, et al.
Bioresource Technology (2022) Vol. 370, pp. 128518-128518
Open Access | Times Cited: 22
An illustration of model agnostic explainability methods applied to environmental data
Christopher K. Wikle, Abhirup Datta, Bhava Vyasa Hari, et al.
Environmetrics (2022) Vol. 34, Iss. 1
Open Access | Times Cited: 20
An interpretable machine learning-based pitting corrosion depth prediction model for steel drinking water pipelines
Taehyeon Kim, Kibum Kim, Jinseok Hyung, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 571-585
Closed Access | Times Cited: 4
Predicting the long-term CO2 concentration in classrooms based on the BO–EMD–LSTM model
Guangfei Yang, Erbiao Yuan, Wenjun Wu
Building and Environment (2022) Vol. 224, pp. 109568-109568
Closed Access | Times Cited: 19
Machine learning-based prediction of harmful algal blooms in water supply reservoirs
Bongseok Jeong, Maria Renee Chapeta, Mingu Kim, et al.
Water Quality Research Journal (2022) Vol. 57, Iss. 4, pp. 304-318
Open Access | Times Cited: 19
Risk identification of mangroves facing Spartina alterniflora invasion using data-driven approaches with UAV and machine learning models
Zhiyi Kan, Bin Chen, Weiwei Yu, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114613-114613
Closed Access
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
Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data
Md. Abdullah Al Mamun, Xiao Yang
Ecological Informatics (2025), pp. 103087-103087
Open Access
Application of geographic information system and remote sensing technology in ecosystem services and biodiversity conservation
Maqsood Ahmed Khaskheli, Mir Muhammad Nizamani, Umed Ali Laghari, et al.
Elsevier eBooks (2025), pp. 97-122
Closed Access
Urbanization significantly impacts the long-term and inner-outer changes in urban vegetation phenology
Guangliang Jia, Chunlin Li, Yuanman Hu, et al.
Sustainable Cities and Society (2025), pp. 106323-106323
Closed Access
Explainable models for predicting crab weight based on genetic programming
Tao Shi, Lingcheng Meng, Limiao Deng, et al.
Ecological Informatics (2025), pp. 103131-103131
Open Access
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