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:

Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 308, pp. 136447-136447
Closed Access | Times Cited: 19

Showing 19 citing articles:

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 41

Visible-light-driven iron-based heterogeneous photo-Fenton catalysts for wastewater decontamination: A review of recent advances
Qiangshun Wu, Muhammad Saboor Siddique, Huijuan Wang, et al.
Chemosphere (2022) Vol. 313, pp. 137509-137509
Closed Access | Times Cited: 39

Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland
Md Galal Uddin, Aoife Jackson, Stephen Nash, et al.
The Science of The Total Environment (2023) Vol. 901, pp. 165960-165960
Open Access | Times Cited: 34

Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Environmental Research (2023) Vol. 242, pp. 117755-117755
Open Access | Times Cited: 31

A metabolomic approach of AI-driven enzymatic digestion of pumpkin seed flour for producing umami metabolites
António de la Hoz, Patricio Caripán, Bernardo Moltedo, et al.
International Journal of Gastronomy and Food Science (2025), pp. 101117-101117
Closed Access

Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216460-216460
Closed Access

Artificial Intelligence Aided Lipase Production and Engineering for Enzymatic Performance Improvement
Feiyin Ge, Gang Chen, Minjing Qian, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 41, pp. 14911-14930
Closed Access | Times Cited: 14

Recent advances in density functional theory approach for optoelectronics properties of graphene
Agbolade Lukman Olatomiwa, Tijjani Adam, C O Edet, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14279-e14279
Open Access | Times Cited: 9

Perspectives and Current Trends on Hybrid Nanocomposite Materials for Photocatalytic Applications
Emerson Coy, Igor Iatsunskyi, Mikhaël Bechelany
Solar RRL (2023) Vol. 7, Iss. 7
Open Access | Times Cited: 6

Support materials impact on green synthesis and sustainable processing via heterogeneous catalysis
Pratikkumar Lakhani, Dhavalkumar Bhanderi, Chetan K. Modi
Discover Catalysis. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1

Research status, challenges and future prospects of renewable synthetic fuel catalysts for CO2 photocatalytic reduction conversion
Yujun Chen, Bin Guan, Xingze Wu, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 5, pp. 11246-11271
Closed Access | Times Cited: 9

Machine Learning in Bioelectrocatalysis
Jiamin Huang, Yang Gao, Yanhong Chang, et al.
Advanced Science (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 5

Study on the performance of biochar prepared from walnut shell and traditional graphene electrode plate in the treatment of domestic sewage in microbial fuel cells
Z.Q. Hu, Huifang Zhao, Bingyuan Wang, et al.
Water Science & Technology (2024) Vol. 89, Iss. 11, pp. 2880-2893
Open Access | Times Cited: 1

Eco-friendly Nanocatalysts: Unleashing Non-Precious Metal Potential for Methylene Blue Remediation
Riny Yolandha Parapat, Yuni Maulani, Gina Nur Fatimah, et al.
E3S Web of Conferences (2024) Vol. 484, pp. 03004-03004
Open Access

A systematic review of recent advances in piezocatalysis – Synergetic heterojunctions for organic pollutants removal, immobilization, and scope of machine learning techniques
S. Jeyabalan, Onkar Sudhir Ekande, Bandita Mainali, et al.
Chemical Engineering Journal (2024) Vol. 498, pp. 155086-155086
Closed Access

Innovations in plastic remediation: Catalytic degradation and machine learning for sustainable solutions
V.C. Deivayanai, S. Karishma, P. Thamarai, et al.
Journal of Contaminant Hydrology (2024) Vol. 267, pp. 104449-104449
Closed Access

Small-dataset-orientated Data-driven screening for catalytic propane activation
Jiaqi Chen, Junqing Li, Ziyi Liu, et al.
Artificial Intelligence Chemistry (2024), pp. 100083-100083
Open Access

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