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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 Design of Single-Atom Catalysts for Nitrogen Fixation
Shuyue Wang, Chao Qian, Shaodong Zhou
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 34, pp. 40656-40664
Closed Access | Times Cited: 15

Showing 15 citing articles:

Progress in Single/Multi Atoms and 2D‐Nanomaterials for Electro/Photocatalytic Nitrogen Reduction: Experimental, Computational and Machine Leaning Developments
Aditya Narayan Singh, Rohit Anand, Mohammad Zafari, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 28
Closed Access | Times Cited: 31
Remarkable Synergy Effect of Cu–Nb Oxide Nanorods toward Electrocatalytic Nitrogen Reduction: The Enhanced Mass and Electron Transfer
Shuyue Wang, Chao Qian, Xinzhi Chen, et al.
ACS Catalysis (2024) Vol. 14, Iss. 10, pp. 7345-7352
Closed Access | Times Cited: 8
Single Transition Metal Atom Catalyst for a High-Performance Li–S Battery with a Graphdiyne–Graphene Heterostructure Host: A DFT Investigation + ML Predictions
V G Abhijitha, Rohit Batra, B. R. K. Nanda
ACS Catalysis (2024) Vol. 14, Iss. 11, pp. 8874-8888
Closed Access | Times Cited: 5
Heterogeneous N-heterocyclic carbenes supported single-atom catalysts for nitrogen fixation: A combined density functional theory and machine learning study
Jingchao Sun, Dian Zheng, Fei Deng, et al.
Applied Surface Science (2023) Vol. 644, pp. 158802-158802
Closed Access | Times Cited: 12
P-block cathode electrocatalysts: A critical review of their role and impact on oxygen reduction reaction in fuel cells applications
Siti Haziyah Mohd Chachuli, Sharifah Najiha Timmiati, Kee Shyuan Loh, et al.
Journal of Industrial and Engineering Chemistry (2025)
Closed Access
Recent Advances in Single- and Dual-Atom Catalysts for Efficient Nitrogen Electro-Reduction and Their Perspectives
Joyjit Kundu, Toshali Bhoyar, Saehyun Park, et al.
Advanced Powder Materials (2025), pp. 100279-100279
Open Access
Interpretable machine learning insights of power conversion efficiency for hybrid perovskites solar cells
Yudong Shi, Jiansen Wen, Cuilian Wen, et al.
Solar Energy (2025) Vol. 290, pp. 113373-113373
Closed Access
Rational electrocatalyst design for selective nitrate reduction to ammonia
Zhaodong Niu, Guoxiong Wang
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Advancing electrocatalyst discovery through the lens of data science: State of the art and perspectives☆
Xue Jia, Tianyi Wang, Di Zhang, et al.
Journal of Catalysis (2025), pp. 116162-116162
Open Access
Electrocatalytic conversion of methane: Recent progress and future prospects
Linghui Yan, Liangliang Jiang, Chao Qian, et al.
Energy Reviews (2023) Vol. 3, Iss. 2, pp. 100065-100065
Open Access | Times Cited: 7
Electrochemical Oxygen Evolution Performance of Nitrogen‐Doped Ultra‐Thin Carbon Nanosheets Composite Ru1Co Single Atom Alloy Catalysts†
Ziwei Deng, Zhiyi Sun, Yaqiong Li, et al.
Chinese Journal of Chemistry (2023) Vol. 42, Iss. 9, pp. 973-979
Closed Access | Times Cited: 4
Application of machine learning for material prediction and design in the environmental remediation
Yunzhe Zheng, Si Sun, Jiali Liu, et al.
Chinese Chemical Letters (2024), pp. 110722-110722
Closed Access | Times Cited: 1
Recent Advances in Single‐Atom Catalyst for Solar Energy Conversion: A Comprehensive Review and Future Outlook
Saad Mehmood, Saddam Sk, B. Moses Abraham, et al.
Advanced Functional Materials (2024)
Open Access | Times Cited: 1
Discovery of High-Efficient Dual-atom Catalysts for Propane Dehydrogenation Assisted by Machine Learning
Xianpeng Wang, Yanxia Ma, Youyong Li, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 33, pp. 22286-22291
Closed Access
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