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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:

Identification of potentially contaminated areas of soil microplastic based on machine learning: A case study in Taihu Lake region, China
Yifei Qiu, Shenglü Zhou, Chuchu Zhang, et al.
The Science of The Total Environment (2023) Vol. 877, pp. 162891-162891
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Microplastics monitoring in freshwater systems: A review of global efforts, knowledge gaps, and research priorities
Bu Zhao, Ruth E Richardson, Fengqi You
Journal of Hazardous Materials (2024) Vol. 477, pp. 135329-135329
Closed Access | Times Cited: 22
Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review
Jagadeesh Kumar Janga, Krishna R. Reddy, K. V. N. S. Raviteja
Chemosphere (2023) Vol. 345, pp. 140476-140476
Closed Access | Times Cited: 37
Application of machine learning and multivariate approaches for assessing microplastic pollution and its associated risks in the urban outdoor environment of Bangladesh
Tapos Kumar Chakraborty, Md. Sozibur Rahman, Md. Simoon Nice, et al.
Journal of Hazardous Materials (2024) Vol. 472, pp. 134359-134359
Closed Access | Times Cited: 10
Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect
Yifei Qiu, Jingyu Niu, Chuchu Zhang, et al.
Water Research (2025) Vol. 274, pp. 123129-123129
Closed Access | Times Cited: 1
A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models
Unurnyam Jugnee, Le Jiao, Sainbayar Dalantai, et al.
Heliyon (2025), pp. e42619-e42619
Open Access | Times Cited: 1
A critical review of the recent trends in source tracing of microplastics in the environment
Kiruthika Mohan, Vignesh Rajkumar Lakshmanan
Environmental Research (2023) Vol. 239, pp. 117394-117394
Closed Access | Times Cited: 22
Elucidating the impacts of microplastics on soil greenhouse gas emissions through automatic machine learning frameworks
Xintong Lin, Jie Hou, Xinyue Wu, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170308-170308
Closed Access | Times Cited: 7
Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models
Xiaosong Lu, Li Sun, Ya Zhang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175787-175787
Closed Access | Times Cited: 6
Qualitative and quantitative detection of microplastics in soil based on LIF technology combined with OOA-ELM/SPA-PLS
Pengcheng Yan, Guodong Li, Wenchang Wang, et al.
Microchemical Journal (2024) Vol. 201, pp. 110632-110632
Closed Access | Times Cited: 5
Exploring the primary magnetic parameters affecting chemical fractions of heavy metal(loid)s in lake sediment through an interpretable workflow
Ligang Deng, Yifan Fan, Kai Liu, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133859-133859
Closed Access | Times Cited: 4
Unveiling microplastic menace: analyzing abundance, distribution, and sources across diverse land use types in South India
Kiruthika Mohan, Vignesh Rajkumar Lakshmanan
Frontiers of Environmental Science & Engineering (2025) Vol. 19, Iss. 4
Closed Access
Sampling methods for microplastics determination in soil
Cristina Socas-Hernández, Pablo Miralles, Javier González‐Sálamo, et al.
Elsevier eBooks (2025), pp. 67-77
Closed Access
Are we underestimating the driving factors and potential risks of freshwater microplastics from in situ and in silico perspective?
Xiaowei Ding, B Zhang, Chensi Shen, et al.
Water Research (2025), pp. 123568-123568
Closed Access
Machine Learning Approaches for Predicting Microplastic Removal
S. M. Zakir Hossain
Arabian Journal for Science and Engineering (2025)
Closed Access
From separation to identification: Microplastic detection and analyses in soils
Qingwei Zhou, Meiqing Jin, Li Fu, et al.
Microchemical Journal (2025), pp. 113652-113652
Closed Access
Machine Learning-Driven Analysis of Soil Microplastic Distribution in the Bang Pakong Watershed, Thailand.
Ugochukwu Ihezukwu, Chawalit Charoenpong, Srilert Chotpantarat
Environmental Pollution (2025), pp. 126346-126346
Closed Access
Heterogenization of microplastic communities in lakes of the Qinghai-Tibetan Plateau driven by tourism and transport activities
Xu Han, Baozhu Pan, Dianbao Li, et al.
Journal of Hazardous Materials (2024) Vol. 477, pp. 135255-135255
Closed Access | Times Cited: 3
Appraisal of microplastic pollution and its related risks for urban indoor environment in Bangladesh using machine learning and diverse risk evolution indices
Baytune Nahar Netema, Tapos Kumar Chakraborty, Md. Simoon Nice, et al.
Environmental Pollution (2024) Vol. 360, pp. 124631-124631
Closed Access | Times Cited: 3
Exposure to polyethylene microplastics exacerbate inflammatory bowel disease tightly associated with intestinal gut microflora
Souvik Ghosal, Sagar Bag, S. R. Rao, et al.
RSC Advances (2024) Vol. 14, Iss. 35, pp. 25130-25148
Open Access | Times Cited: 3
Dialogue between algorithms and soil: Machine learning unravels the mystery of phthalates pollution in soil
Boyou Pan, Jialin Lei, Bogui Pan, et al.
Journal of Hazardous Materials (2024) Vol. 482, pp. 136604-136604
Closed Access | Times Cited: 3
Plastic particles and fluorescent brightener co-modify Chlorella pyrenoidosa photosynthesis and a machine learning approach predict algae growth
Yaodan Dai, Zhi Guo, Xing-pan Guo, et al.
Journal of Hazardous Materials (2024) Vol. 477, pp. 135406-135406
Closed Access | Times Cited: 1
Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis
Jintao Li, Ping Ai, Chuansheng Xiong, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0313871-e0313871
Open Access | Times Cited: 1
Interpretable machine learning models reveal the partnership of microplastics and perfluoroalkyl substances in sediments at a century scale
Ligang Deng, Kai Liu, Yifan Fan, et al.
Journal of Hazardous Materials (2024) Vol. 486, pp. 137018-137018
Closed Access | Times Cited: 1
Assessing the destabilization risk of ecosystems dominated by carbon sequestration based on interpretable machine learning method
Lingli Zuo, Guohua Liu, Zhou Fang, et al.
Ecological Indicators (2024) Vol. 167, pp. 112593-112593
Open Access
A Global Spatial–Temporal Energy Poverty Assessment and Social Impacts Analysis
Shengfang Lu, Jingzheng Ren
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access
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