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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:

Understanding and Designing a High-Performance Ultrafiltration Membrane Using Machine Learning
Haiping Gao, Shifa Zhong, Raghav Dangayach, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17831-17840
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Design and Machine Learning Prediction of In Situ Grown PDA-Stabilized MOF (UiO-66-NH2) Membrane for Low-Pressure Separation of Emulsified Oily Wastewater
Jamilu Usman, Sani I. Abba, Nadeem Baig, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 13, pp. 16271-16289
Closed Access | Times Cited: 25
Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization
Zhonglin Cao, Omid Barati Farimani, Janghoon Ock, et al.
Nano Letters (2024) Vol. 24, Iss. 10, pp. 2953-2960
Open Access | Times Cited: 16
Nanocomposite ceramic membranes as novel tools for remediation of textile dye waste water – A review of current applications, machine learning based modeling and future perspectives
Joynab Mohammed Solaiman, Natarajan Rajamohan, Mohammad Yusuf, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112353-112353
Closed Access | Times Cited: 15
Integrated seawater hub: A nexus of sustainable water, energy, and resource generation
Sajna M.S., Tasneem Elmakki, Kira Schipper, et al.
Desalination (2023) Vol. 571, pp. 117065-117065
Open Access | Times Cited: 38
Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects
Xingyang Li, Jiming Su, Hui Wang, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113152-113152
Closed Access | Times Cited: 13
Integrating artificial intelligence modeling and membrane technologies for advanced wastewater treatment: Research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173999-173999
Open Access | Times Cited: 10
The mitigation potential of synergistic quorum quenching and antibacterial properties for biofilm proliferation and membrane biofouling
Yuan Li, Jixiang Dai, Yanjing Ma, et al.
Water Research (2024) Vol. 255, pp. 121462-121462
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
Precise prediction of CO2 separation performance of metal–organic framework mixed matrix membranes based on feature selection and machine learning
Lei Yao, Zengzeng Zhang, Yong Li, et al.
Separation and Purification Technology (2024) Vol. 349, pp. 127894-127894
Closed Access | Times Cited: 7
Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 16
Machine learning framework for predicting cytotoxicity and identifying toxicity drivers of disinfection byproducts
Rabbi Sikder, Huichun Zhang, Peng Gao, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133989-133989
Closed Access | Times Cited: 6
A Meta-Analysis to Revisit the Property–Aggregation Relationships of Carbon Nanomaterials: Experimental Observations versus Predictions of the DLVO Theory
Bo Peng, Peng Liao, Yi Jiang
Langmuir (2024) Vol. 40, Iss. 13, pp. 7127-7138
Closed Access | Times Cited: 6
Gradient boosting decision tree algorithms for accelerating nanofiltration membrane design and discovery
Weijia Gong, Hangbin Xu, Jinyan Lu, et al.
Desalination (2024) Vol. 592, pp. 118072-118072
Closed Access | Times Cited: 6
DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications
Peng Liu, Hangbin Xu, Pengrui Jin, et al.
Water Research (2025) Vol. 279, pp. 123438-123438
Closed Access
In situ acid production by organic matter induced with trace homogeneous Fenton reagent for membrane fouling control
Rui Miao, Haoxue Ran, Yifan Yang, et al.
Water Research (2024) Vol. 258, pp. 121752-121752
Closed Access | Times Cited: 4
Predicting the Performance of Lithium Adsorption and Recovery from Unconventional Water Sources with Machine Learning
Ziyang Xu, Yihao Ding, Soyeon Caren Han, et al.
Water Research (2024) Vol. 266, pp. 122374-122374
Closed Access | Times Cited: 4
Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm
Chunhui Xie, Haoke Qiu, Lu Liu, et al.
SmartMat (2025) Vol. 6, Iss. 1
Open Access
Machine learning-based Bayesian optimization facilitates ultrafiltration process design for efficient protein purification
Qinglin Lu, Hao Zhang, Rong Fan, et al.
Separation and Purification Technology (2025), pp. 132122-132122
Closed Access
Deciphering Heavy Metal Adsorption Capacity of Soil Based on its Physicochemical Properties and Adsorption Reaction Time Using Machine Learning
Jianle Wang, Xueming Liu, Weijie Li, et al.
(2025)
Closed Access
Data Driven Modeling and Design of Cellulose Acetate-Polysulfone Blend Ultrafiltration Membranes Based on Artificial Neural Networks
Elif Gungormus
Journal of environmental chemical engineering (2025), pp. 116337-116337
Closed Access
Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes
Bhaumik Sutariya, Pulak Sarkar, Pankaj D. Indurkar, et al.
Separation and Purification Technology (2024) Vol. 354, pp. 128960-128960
Closed Access | Times Cited: 3
Non-Equilibrium Block Copolymer Self-Assembly Based Porous Membrane Formation Processes Employing Multicomponent Systems
Lieihn Tsaur, Ulrich Wiesner
Polymers (2023) Vol. 15, Iss. 9, pp. 2020-2020
Open Access | Times Cited: 9
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
Raghav Dangayach, Nohyeong Jeong, Elif Demirel, et al.
Environmental Science & Technology (2024)
Open Access | Times Cited: 3
Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration
Chen Wang, Li Wang, Hanwei Yu, et al.
Chemosphere (2023) Vol. 350, pp. 140999-140999
Closed Access | Times Cited: 6
Aquatic Functional Liquid Crystals: Design, Functionalization, and Molecular Simulation
Takashi Kato, Junya Uchida, Yoshiki Ishii, et al.
Advanced Science (2023) Vol. 11, Iss. 8
Open Access | Times Cited: 5
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