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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:

Machine learning exploration of the mobility and environmental assessment of toxic elements in mining-associated solid wastes
Chongchong Qi, Mengting Wu, Hui Liu, et al.
Journal of Cleaner Production (2023) Vol. 401, pp. 136771-136771
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Reuse and Mechanochemical Processing of Ore Dressing Tailings Used for Extracting Pb and Zn
В.И. Голик, Roman V. Klyuev, Nikita V. Martyushev, et al.
Materials (2023) Vol. 16, Iss. 21, pp. 7004-7004
Open Access | Times Cited: 46
Regional and global hotspots of arsenic contamination of topsoil identified by deep learning
Mengting Wu, Chongchong Qi, Sybil Derrible, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 20
Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale
Min Zhou, Tao Hu, Mengting Wu, et al.
Ecological Informatics (2024) Vol. 81, pp. 102615-102615
Open Access | Times Cited: 15
Identifying mining-induced chromium contamination in soil through visible-near infrared spectroscopy and machine learning
Chongchong Qi, Mengting Wu, Kechao Li, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 132-139
Open Access | Times Cited: 5
Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment.
François Nkinahamira, Anqi Feng, Lijie Zhang, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117980-117980
Closed Access | Times Cited: 5
Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites
Bin Feng, Shahab Hosseini, Jie Chen, et al.
Infrastructures (2024) Vol. 9, Iss. 10, pp. 181-181
Open Access | Times Cited: 5
Robust Prediction of Water Arsenic Levels Downstream of Gold Mines Affected by Acid Mine Drainage Using Hybrid Ensemble Machine Learning and Soft Computing
Ezzeddin Bakhtavar, Shahab Hosseini, Haroon R. Mian, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137665-137665
Closed Access
Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization
Hüseyin Çağan Kılınç, Iman Ahmadianfar, Vahdettin Demir, et al.
Water Resources Management (2023) Vol. 37, Iss. 9, pp. 3699-3714
Open Access | Times Cited: 14
A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction
Yongsheng Ma, Geng Zhang, Yingfeng Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102324-102324
Closed Access | Times Cited: 14
Artificial intelligence-based prediction model for the elemental occurrence form of tailings and mine wastes
Chongchong Qi, Tao Hu, Jiashuai Zheng, et al.
Environmental Research (2024) Vol. 249, pp. 118378-118378
Closed Access | Times Cited: 4
Comparative analysis of machine learning algorithms for identifying cobalt contamination in soil using spectroscopy
Nana Zhou, Tao Hu, Mengting Wu, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 113328-113328
Closed Access | Times Cited: 3
Improved classification of soil As contamination at continental scale: Resolving class imbalances using machine learning approach
Tao Hu, Kechao Li, Chundi Ma, et al.
Chemosphere (2024) Vol. 363, pp. 142697-142697
Closed Access | Times Cited: 3
Innovate geopolymer synthesis for green mine road construction: Analysis of efflorescence behavior and strength analysis
Xiang Lü, Ya Tian, Izhar Mithal Jiskani, et al.
Construction and Building Materials (2023) Vol. 401, pp. 132963-132963
Closed Access | Times Cited: 9
Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
Sani I. Abba, Huseyin Cagan KILINC, Mou Leong Tan, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103731-103731
Closed Access | Times Cited: 8
Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset
Chongchong Qi, Jiashuai Zheng, Xingyu Yang, et al.
Construction and Building Materials (2023) Vol. 391, pp. 131827-131827
Closed Access | Times Cited: 8
Quantification of river total phosphorus using integrative artificial intelligence models
Sungwon Kim, Youngmin Seo, Anurag Malik, et al.
Ecological Indicators (2023) Vol. 153, pp. 110437-110437
Open Access | Times Cited: 6
Study of the Critical Safe Height of Goaf in Underground Metal Mines
Qinli Zhang, Peng Zhang, Qiusong Chen, et al.
Minerals (2024) Vol. 14, Iss. 3, pp. 227-227
Open Access | Times Cited: 1
Living review framework for better policy design and management of hazardous waste in Australia
Uyen N. Le-Khac, Mitzi Bolton, Naomi J. Boxall, et al.
The Science of The Total Environment (2024) Vol. 924, pp. 171556-171556
Open Access | Times Cited: 1
Ensemble learning evaluation of mechanical property for mining waste cemented backfill
Peitao Shi, Jixiong Zhang, Hao Yan, et al.
Construction and Building Materials (2024) Vol. 441, pp. 137568-137568
Closed Access | Times Cited: 1
Intelligent waste sorting for sustainable environment: A hybrid deep learning and transfer learning model
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, et al.
Gondwana Research (2024)
Closed Access | Times Cited: 1
Machine learning models for occurrence form prediction of heavy metals in tailings
Jiashuai Zheng, Mengting Wu, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
International Journal of Mining Reclamation and Environment (2023) Vol. 37, Iss. 10, pp. 978-995
Closed Access | Times Cited: 4
Groundwater Quality in the Vicinity of an Abandoned Mining Site – The M'fis Mine, Southeast of Morocco
Mohamed Abdellaoui, Abdellali Abdaoui, F. Boukhoubza, et al.
Ecological Engineering & Environmental Technology (2023) Vol. 24, Iss. 6, pp. 292-299
Open Access | Times Cited: 3
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining
Xiang Lü, Wei Zhou, Hải Bằng Lý, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110769-110769
Closed Access | Times Cited: 2
Characterization, Concentration, and Speciation of Metal Elements in Copper Slag: Implications for Secondary Metal Recovery
Z.L. Liu, Xinhang Xu, Li Guo, et al.
Crystals (2024) Vol. 14, Iss. 5, pp. 420-420
Open Access
A Deep Learning Approach for Chromium Detection and Characterization from Soil Hyperspectral Data
Chundi Ma, Xinhang Xu, Min Zhou, et al.
Toxics (2024) Vol. 12, Iss. 5, pp. 357-357
Open Access
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