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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:

Development potential of nanoenabled agriculture projected using machine learning
Peng Deng, Yiming Gao, Mu Li, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 25
Open Access | Times Cited: 24

Showing 24 citing articles:

Risk of papillary thyroid carcinoma and nodular goiter associated with exposure to semi-volatile organic compounds: A multi-pollutant assessment based on machine learning algorithms
Fei Wang, Yuanxin Lin, Jianing Xu, et al.
The Science of The Total Environment (2024) Vol. 915, pp. 169962-169962
Closed Access | Times Cited: 7
Large-scale deployment of intelligent transportation to help achieve low-carbon and clean sustainable transportation
Zhenyu Jia, Jiawei Yin, Zeping Cao, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 174724-174724
Closed Access | Times Cited: 7
Decoding Nanomaterial‐Biosystem Interactions through Machine Learning
Sagar Dhoble, Tzu‐Hsien Wu, Kenry Kenry
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 16
Closed Access | Times Cited: 6
Zinc oxide nanoparticles cooperate with the phyllosphere to promote grain yield and nutritional quality of rice under heatwave stress
Shuqing Guo, Xiangang Hu, Zixuan Wang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 46
Closed Access | Times Cited: 5
Time-Dependent and Coating Modulation of Tomato Response upon Sulfur Nanoparticle Internalization and Assimilation: An Orthogonal Mechanistic Investigation
Yi Wang, Chaoyi Deng, Lijuan Zhao, et al.
ACS Nano (2024) Vol. 18, Iss. 18, pp. 11813-11827
Closed Access | Times Cited: 4
Imagining AI-driven decision making for managing farming in developing and emerging economies
Ume Chukwuma, K. G. Gebremedhin, Daniel Dooyum Uyeh
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108946-108946
Closed Access | Times Cited: 4
Engineered nanomaterials reduce metal(loid) accumulation and enhance staple food production for sustainable agriculture
Yini Cao, Chuanxin Ma, Jason C. White, et al.
Nature Food (2024) Vol. 5, Iss. 11, pp. 951-962
Closed Access | Times Cited: 4
Efficiency of metal oxides in reducing heavy metal uptake in typical crops: A machine learning-assisted meta-analysis
Tao Min, Tao Lu, Zheng Shen, et al.
Journal of Cleaner Production (2025), pp. 144856-144856
Closed Access
Common issues of data science on the eco-environmental risks of emerging contaminants
Xiangang Hu, Dong Xu, Zhangjia Wang
Environment International (2025) Vol. 196, pp. 109301-109301
Open Access
Unveiling the role of inorganic nanoparticles in Earth’s biochemical evolution through electron transfer dynamics
Xiaolan Huang
iScience (2024) Vol. 27, Iss. 5, pp. 109555-109555
Open Access | Times Cited: 3
Prediction of phosphate adsorption amount, capacity and kinetics via machine learning: A generally physical-based process and proposed strategy of using descriptive text messages to enrich datasets
Baiqin Zhou, Huiping Li, Ziyu Wang, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147503-147503
Closed Access | Times Cited: 9
Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large Scale
Peng Deng, Xiangang Hu, Mu Li
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 837-843
Closed Access | Times Cited: 8
Interactive effects of urine components and treatment conditions on antibiotic degradation of combined system integrating thermally activated peroxydisulfate and membrane distillation using machine learning
Yaping Lyu, Zifu Li, Zhiling Guo, et al.
Chemical Engineering Journal (2024) Vol. 491, pp. 152081-152081
Closed Access | Times Cited: 2
Unlocking the potential of carbon dots in agriculture using data-driven approaches
Jing Li, Xiao‐Na Li, Mélanie Kah, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173605-173605
Closed Access | Times Cited: 2
Urbanization influences dissolved organic matter characteristics but microbes affect greenhouse gas concentrations in lakes
Peng Deng, Qixing Zhou, Jiwei Luo, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169191-169191
Closed Access | Times Cited: 5
Decoding Nanomaterial‐Biosystem Interactions through Machine Learning
Sagar Dhoble, Tzu‐Hsien Wu, Kenry Kenry
Angewandte Chemie (2024) Vol. 136, Iss. 16
Closed Access | Times Cited: 1
Thermal proteome profiling and machine learning modeling for dissecting chemical-protein interactions in environmental toxicology: A mini-review and perspectives
Zimeng Wu, Zhiqiang Fu, Xiaomei Yu, et al.
Critical Reviews in Environmental Science and Technology (2024) Vol. 54, Iss. 20, pp. 1478-1500
Closed Access | Times Cited: 1
Accelerated screening of active sites on biochar for catalysis and adsorption via multidimensional fingerprint factor descriptors
Wenjie Gao, Ning Li, Zhanjun Cheng, et al.
Bioresource Technology (2024) Vol. 408, pp. 131156-131156
Closed Access | Times Cited: 1
Interpretable Causal System Optimization Framework for the Advancement of Biological Effect Prediction and Redesign of Nanoparticles
Dong Xu, Xiangang Hu, Fubo Yu, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 32, pp. 22747-22758
Closed Access | Times Cited: 1
Application of machine learning approaches to predict ammonium nitrogen transport in different soil types and evaluate the contribution of control factors
Bingcong Feng, Jie Ma, Yong Liu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 284, pp. 116867-116867
Open Access | Times Cited: 1
Unveiling influences of metal-based nanomaterials on wheat growth and physiology: From benefits to detriments
Fengyu Huang, Li Chen, Yi Zeng, et al.
Chemosphere (2024) Vol. 364, pp. 143212-143212
Closed Access
A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance
Na Xiao, Yonghui Li, Peiyan Sun, et al.
Micromachines (2024) Vol. 16, Iss. 1, pp. 15-15
Open Access
Pengembangan Sistem Prediksi Waktu Penyiraman Optimal pada Perkebunan: Pendekatan Machine Learning untuk Peningkatan Produktivitas Pertanian
Mohammad F Anggarda, Iwan Kustiawan, Deasy R Nurjanah, et al.
JURNAL BUDIDAYA PERTANIAN (2023) Vol. 19, Iss. 2, pp. 124-136
Open Access | Times Cited: 1
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