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.

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Showing 1-25 of 37 citing articles:

Design of three-dimensional faradic electrode materials for high-performance capacitive deionization
Hao Wang, Xingtao Xu, Xiaoyan Gao, et al.
Coordination Chemistry Reviews (2024) Vol. 510, pp. 215835-215835
Closed Access | Times Cited: 40

Machine Learning‐Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Capacitive Deionization
Hao Wang, Mingxi Jiang, Guangsheng Xu, et al.
Small (2024)
Closed Access | Times Cited: 14

A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant
Yifan Xie, Y. Chen, Qing Wei, et al.
Water Research (2023) Vol. 250, pp. 121092-121092
Closed Access | Times Cited: 22

Engineering Faradaic Electrode Materials for High‐Efficiency Water Desalination
Xiaoli Zhou, Shirui Shu, Xiaoyu Ye, et al.
Small (2024) Vol. 20, Iss. 32
Closed Access | Times Cited: 9

Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 8

The insightful water quality analysis and predictive model establishment via machine learning in dual-source drinking water distribution system
Huiping Li, Baiqin Zhou, Xiaoyan Xu, et al.
Environmental Research (2024) Vol. 250, pp. 118474-118474
Closed Access | Times Cited: 7

Recent strategies for enhancing the performance and lifespan of low-cost ceramic membranes in water filtration and treatment processes: A review
Najib Meftah Almukhtar Omar, Mohd Hafiz Dzarfan Othman, Zhong Sheng Tai, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105399-105399
Closed Access | Times Cited: 7

One-dimensional electrospinning nanomaterials toward capacitive deionization: Fundamentals, development, and perspectives
Zhiqian Yang, Ming Gao, Wencui Liang, et al.
Desalination (2023) Vol. 567, pp. 117010-117010
Closed Access | Times Cited: 19

Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization
Zahid Ullah, Nakyung Yoon, Bethwel Kipchirchir Tarus, et al.
Desalination (2023) Vol. 558, pp. 116614-116614
Closed Access | Times Cited: 17

Using artificial intelligence-based algorithms to identify critical fouling factors and predict fouling behavior in anaerobic membrane bioreactors
Chengxin Niu, Bin Li, Zhiwei Wang
Journal of Membrane Science (2023) Vol. 687, pp. 122076-122076
Closed Access | Times Cited: 17

Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest
Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 134072-134072
Closed Access | Times Cited: 6

Progress toward adsorption mechanism exploration method for capacitive deionization: Experimental, mathematical model, computational chemistry and machine learning
Luwei Miao, Ming Gao, Weilong Xiao, et al.
Desalination (2024) Vol. 586, pp. 117850-117850
Closed Access | Times Cited: 6

Optimal Management Strategy for Salt Adsorption Capacity in Machine Learning-Based Flow-Electrode Capacitive Deionization Process
Sung Il Yu, Junbeom Jeon, Yong-Uk Shin, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 8, pp. 1937-1947
Closed Access | Times Cited: 6

Machine learning-assisted prediction and identification of key factors affecting nitrogen metabolism for aerobic granular sludge
Huiping Li, Li Xie, Baiqin Zhou, et al.
Environmental Research (2025), pp. 121158-121158
Closed Access

Electrosorption-coupled flow-electrode capacitive deionization process for simultaneous fractionation, desalination, and resources removal/recovery from dye/salt mixture
Yekun Feng, Dan Zhao, C. L. Cai, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107354-107354
Closed Access

Autonomous water quality management in an electrochemical desalination process
Zahid Ullah, Nakyeong Yun, Ruggero Rossi, et al.
Water Research (2025), pp. 123521-123521
Open Access

Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques
G. Baskar, Soghra Nashath Omer, Panchamoorthy Saravanan, et al.
Chemosphere (2024) Vol. 362, pp. 142477-142477
Closed Access | Times Cited: 4

Advancement of capacitive deionization propelled by machine learning approach
Hao Wang, Yuquan Li, Yong Liu, et al.
Separation and Purification Technology (2024) Vol. 354, pp. 129423-129423
Closed Access | Times Cited: 4

Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
Nakyung Yoon, Suin Lee, Sanghun Park, et al.
Desalination (2023) Vol. 561, pp. 116676-116676
Open Access | Times Cited: 11

Recent advances in the fixed-electrode capacitive deionization (CDI): Innovations in electrode materials and applications
Zhao Song, Yidi Chen, Nanqi Ren, et al.
Environmental Functional Materials (2023) Vol. 2, Iss. 3, pp. 290-303
Open Access | Times Cited: 11

Prediction and optimization of wastewater treatment process effluent chemical oxygen demand and energy consumption based on typical ensemble learning models
Jian Chen, Jinquan Wan, Gang Ye, et al.
Bioresource Technology (2024) Vol. 411, pp. 131362-131362
Closed Access | Times Cited: 3

Multi-output machine learning for addressing the trade-off between water permeability and wetting resistance in membrane distillation
Jun Ma, Hang Xu, Meng Zhang, et al.
Desalination (2024) Vol. 589, pp. 117953-117953
Closed Access | Times Cited: 2

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