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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:

Catalyst design with machine learning
Hongliang Xin
Nature Energy (2022) Vol. 7, Iss. 9, pp. 790-791
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine intelligence-accelerated discovery of all-natural plastic substitutes
Tianle Chen, Zhenqian Pang, Shuaiming He, et al.
Nature Nanotechnology (2024) Vol. 19, Iss. 6, pp. 782-791
Open Access | Times Cited: 34
Challenges and Opportunities in Green Hydrogen Adoption for Decarbonizing Hard-to-Abate Industries: A Comprehensive Review
M. Jayachandran, Ranjith Kumar Gatla, Aymen Flah, et al.
IEEE Access (2024) Vol. 12, pp. 23363-23388
Open Access | Times Cited: 32
High-entropy oxides for energy-related electrocatalysis
Han Cai, Peikun Zhang, Bowen Li, et al.
Materials Today Catalysis (2024) Vol. 4, pp. 100039-100039
Open Access | Times Cited: 19
Machine Learning Design of Perovskite Catalytic Properties
Ryan Jacobs, Jian Liu, Harry Abernathy, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 19
Conductive Metal–Organic Frameworks and Their Electrocatalysis Applications
Shuhui Tao, John Wang, Jie Zhang
ACS Nano (2025)
Closed Access | Times Cited: 2
Carbon-based materials as highly efficient catalysts for the hydrogen evolution reaction in microbial electrolysis cells: Mechanisms, methods, and perspectives
Lina Xu, Wei Li, Jiaqin Luo, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144670-144670
Closed Access | Times Cited: 31
Machine intelligence accelerated design of conductive MXene aerogels with programmable properties
Snehi Shrestha, Kieran Barvenik, Tianle Chen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Selenium‐Based Catalysts for Efficient Electrocatalysis
Yuanhao Wei, Mingtao Huang, Yonggan Wu, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 10
Rationalizing Functionalized MXenes as Effective Anchor Materials for Lithium–Sulfur Batteries via First-Principles Calculations
Xiaorong Zhu, Ming Ge, Tongming Sun, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 8, pp. 2215-2221
Closed Access | Times Cited: 20
Predictive machine learning approaches for perovskites properties using their chemical formula: towards the discovery of stable solar cells materials
Soundous Touati, Ali Benghia, Zoulikha Hebboul, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16319-16329
Closed Access | Times Cited: 7
Leveraging Machine Learning Potentials for In-Situ Searching of Active sites in Heterogeneous Catalysis
Xiran Cheng, Chenyu Wu, Jiayan Xu, et al.
Precision Chemistry (2024) Vol. 2, Iss. 11, pp. 570-586
Open Access | Times Cited: 7
The Role of Transition Metals on CeO2 Supported for CO2 Adsorption by DFT and Machine Learning Analysis
Hossein Mashhadimoslem, Peyman Karimi, Mohammad Ali Abdol, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 25, pp. 11018-11029
Closed Access | Times Cited: 5
A comprehensive review of reduction technologies for tetrafluoromethane (CF4): Progress, challenges and future directions
Jiefei Li, Jianbei Zhang, Yahui Zhou, et al.
Separation and Purification Technology (2025), pp. 131827-131827
Closed Access
Optimal Design of Catalytic Conversion of SO2 to SO3 via Machine Learning
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault
Journal of Machine Intelligence and Data Science (2025) Vol. 6
Closed Access
Catalysts with three-dimensional porous structure for electrocatalytic water splitting
Yuchen Liu, Yanning Zhang, Zulin Sun, et al.
Sustainable materials and technologies (2025), pp. e01392-e01392
Open Access
Metal-organic frameworks-engineered reactive-oxygen catalytic materials: Enzyme-mimicking coordinations, structure evolutions, and biotherapeutic applications
Lin Li, Qinlong Wen, Ting Wang, et al.
Materials Today (2024) Vol. 78, pp. 142-180
Closed Access | Times Cited: 3
A machine-learning-based composition design of ternary Cu-based Rochow-Müller catalyst with high M2 selectivity
Tianrun Ma, Jianwei Wang, Liqing Ban, et al.
Applied Catalysis A General (2024) Vol. 675, pp. 119592-119592
Closed Access | Times Cited: 2
Interpretable artificial intelligence for advanced oxidation systems: Principle, operations and performance
Zhi Huang, Yu Jiang, Xiao Shao, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 242-259
Closed Access | Times Cited: 6
A generalized model for estimating adsorption energies of single atoms on doped carbon materials
Maria G. Minotaki, Julian Geiger, Andrea Ruiz‐Ferrando, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 18, pp. 11049-11061
Closed Access | Times Cited: 1
Efficient learning strategy for predicting glass forming ability in imbalanced datasets of bulk metallic glasses
Xuhe Gong, Jiazi Bi, Xiaobin Liu, et al.
Physical Review Materials (2024) Vol. 8, Iss. 5
Open Access | Times Cited: 1
Discovery of wurtzite solid solutions with enhanced piezoelectric response using machine learning
Drew Behrendt, Sayan Banerjee, Jiahao Zhang, et al.
Physical Review Materials (2024) Vol. 8, Iss. 5
Closed Access | Times Cited: 1
AI for Science in Electrochemical Energy Storage: A Multi-Scale Systems Perspective on Transportation Electrification
Shuangqi Li, H. Oliver Gao, Fengqi You
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 100026-100026
Open Access | Times Cited: 1
MolPackL: Quantification and Interpretation of Intermolecular Interactions Driven by Molecular Packing
Xinxin Niu, Qian Zhang, Yanfeng Dang, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 34, pp. 24075-24084
Closed Access | Times Cited: 1
Machine Intelligence Accelerated Design of Conductive MXene Aerogels with Programmable Properties
Po‐Yen Chen, Snehi Shrestha, Kieran Barvenik, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Machine learning aided design of high performance copper-based sulfide photocathodes
Yuxi Cao, Keng Shen, Yuanfei Li, et al.
Journal of Materials Chemistry A (2024)
Closed Access
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