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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:

Modeling phytoremediation of heavy metal contaminated soils through machine learning
Liang Shi, Jie Li, Kumuduni Niroshika Palansooriya, et al.
Journal of Hazardous Materials (2022) Vol. 441, pp. 129904-129904
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Metal tolerance mechanisms in plants and microbe-mediated bioremediation
Mathiyazhagan Narayanan, Ying Ma
Environmental Research (2023) Vol. 222, pp. 115413-115413
Closed Access | Times Cited: 54
Meta-analysis of impacts of microplastics on plant heavy metal(loid) accumulation
Li Chen, Nan Chang, Tianyi Qiu, et al.
Environmental Pollution (2024) Vol. 348, pp. 123787-123787
Closed Access | Times Cited: 33
Phytoremediation: An eco-friendly approach for remediation of heavy metal-contaminated soils-A comprehensive review
M. Lavanya, Dabir S. Viswanath, P.V. Sivapullaiah
Environmental Nanotechnology Monitoring & Management (2024) Vol. 22, pp. 100975-100975
Closed Access | Times Cited: 19
Biodegradable chelating agents for enhancing phytoremediation: Mechanisms, market feasibility, and future studies
Fengwei Yin, Jianbin Li, Yilu Wang, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 272, pp. 116113-116113
Open Access | Times Cited: 17
Characterizing soil Cops Eco-risk in China
Yan Li, Haoran Huang, Ye Li, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137588-137588
Closed Access | Times Cited: 2
A review of important heavy metals toxicity with special emphasis on nephrotoxicity and its management in cattle
Ifrah Tahir, Khalid A. Alkheraije
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 39
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: 36
Recent advances in plastic waste pyrolysis for liquid fuel production: Critical factors and machine learning applications
Jie Li, Di Yu, Lanjia Pan, et al.
Applied Energy (2023) Vol. 346, pp. 121350-121350
Closed Access | Times Cited: 28
Artificial Intelligence Modeling-Based Optimization of an Industrial-Scale Steam Turbine for Moving toward Net-Zero in the Energy Sector
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Rasikh Tariq, et al.
ACS Omega (2023) Vol. 8, Iss. 24, pp. 21709-21725
Open Access | Times Cited: 25
Machine learning prediction and interpretation of the impact of microplastics on soil properties
Piumi Amasha Withana, Jie Li, Sachini Supunsala Senadheera, et al.
Environmental Pollution (2023) Vol. 341, pp. 122833-122833
Closed Access | Times Cited: 24
Influence of biochar and fulvic acid on the ryegrass-based phytoremediation of sediments contaminated with multiple heavy metals
Yiqiu Zhang, Jilai Gong, Weicheng Cao, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 2, pp. 109446-109446
Closed Access | Times Cited: 23
Prediction of adsorption of metal cations by clay minerals using machine learning
Shoushi Zhao, Kai Chen, Beiyi Xiong, et al.
The Science of The Total Environment (2024) Vol. 924, pp. 171733-171733
Closed Access | Times Cited: 15
Modelling phytoremediation: Concepts, methods, challenges and perspectives
Junye Wang, Mojtaba Aghajani Delavar
Soil & Environmental Health (2024) Vol. 2, Iss. 1, pp. 100062-100062
Open Access | Times Cited: 14
Research progress of the detection and analysis methods of heavy metals in plants
Shuang He, Yuting Niu, Xing Lu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 14
Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Wan Hanna Melini Wan Mohtar, Raad Z. Homod, et al.
Chemosphere (2024) Vol. 352, pp. 141329-141329
Closed Access | Times Cited: 11
Reducing the accumulation of cadmium and phenanthrene in rice by optimizing planting spacing: Role of low-abundance but core rhizobacterial communities
Chen Wu, Yujun Wu, Feng Li, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171856-171856
Closed Access | Times Cited: 8
Prediction of Zinc, Cadmium, and Arsenic in European Soils Using Multi-End Machine Learning Models
Mohammad Sadegh Barkhordari, Chongchong Qi
Journal of Hazardous Materials (2025) Vol. 490, pp. 137800-137800
Closed Access | Times Cited: 1
Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars
Wei Zhang, Waqar Muhammad Ashraf, Sachini Supunsala Senadheera, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166678-166678
Open Access | Times Cited: 21
Machine Learning for Heavy Metal Removal from Water: Recent Advances and Challenges
Xiangzhou Yuan, Jie Li, Juin Yau Lim, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 820-836
Closed Access | Times Cited: 18
Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L.
Muhammad Aasım, Syed Amjad Ali, Senar Aydın, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 14, pp. 40206-40217
Closed Access | Times Cited: 17
Speciation, leachability, and phytoaccessibility of heavy metals during thermochemical liquefaction of contaminated peanut straw
Xiaochen Zheng, Dongsheng Zou, Qingdan Wu, et al.
Waste Management (2024) Vol. 176, pp. 20-29
Closed Access | Times Cited: 6
Machine learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons
Haojia Chen, Yudong Cao, Wei Qin, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172173-172173
Closed Access | Times Cited: 6
Application of novel polypyrrole/melamine foam auxiliary electrode in promoting electrokinetic remediation of Cr(VI)-contaminated soil
Zhengjun Qu, Lihui Huang, Mengmeng Guo, et al.
The Science of The Total Environment (2023) Vol. 876, pp. 162840-162840
Closed Access | Times Cited: 15
Shaping the concentration of petroleum hydrocarbon pollution in soil: A machine learning and resistivity-based prediction method
Fansong Meng, Jinguo Wang, Zhou Chen, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118817-118817
Closed Access | Times Cited: 14
Effect of EDDS on the rhizosphere ecology and microbial regulation of the Cd-Cr contaminated soil remediation using king grass combined with Piriformospora indica
Haixiang Zhang, Kailu Zhang, Yali Duan, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133266-133266
Closed Access | Times Cited: 14
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