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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:

High‐Throughput Screening of Electrocatalysts for Nitrogen Reduction Reactions Accelerated by Interpretable Intrinsic Descriptor
Xiaoyun Lin, Yongtao Wang, Xin Chang, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 19
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Optimizing Electrocatalytic Nitrogen Reduction via Interfacial Electric Field Modulation: Elevating d‐Band Center in WS2‐WO3 for Enhanced Intermediate Adsorption
Xiaoxuan Wang, Shuyuan Li, Zhi Hao Yuan, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 29
Closed Access | Times Cited: 65
Activity and Selectivity Roadmap for C–N Electro-Coupling on MXenes
Yiran Jiao, Haobo Li, Yan Jiao, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 28, pp. 15572-15580
Closed Access | Times Cited: 58
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
Recent Progress on Computation‐Guided Catalyst Design for Highly Efficient Nitrogen Reduction Reaction
Tianyi Dai, Tong‐Hui Wang, Zi Wen, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 34
Closed Access | Times Cited: 25
Machine learning-assisted dual-atom sites design with interpretable descriptors unifying electrocatalytic reactions
Xiaoyun Lin, Xiaowei Du, Shican Wu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
High‐Throughput Screening and General Synthesis Strategy of Single‐Atom Nanozymes for Oral Squamous Cell Carcinoma Therapy
Ji Shen, Guan-Meng Zhang, Zedong Zhang, et al.
Advanced Materials (2025)
Closed Access | Times Cited: 2
The Synergistic Effect between Metal and Sulfur Vacancy to Boost CO2 Reduction Efficiency: A Study on Descriptor Transferability and Activity Prediction
Qin Zhu, Yating Gu, Xinzhu Wang, et al.
JACS Au (2024) Vol. 4, Iss. 1, pp. 125-138
Open Access | Times Cited: 14
Coordination environment manipulation of single atom catalysts: Regulation strategies, characterization techniques and applications
Wentao Zhang, Yue Zhao, Wenguang Huang, et al.
Coordination Chemistry Reviews (2024) Vol. 515, pp. 215952-215952
Closed Access | Times Cited: 14
Interpretable Data‐Driven Descriptors for Establishing the Structure‐Activity Relationship of Metal–Organic Frameworks Toward Oxygen Evolution Reaction
Zhou Jian, Liangliang Xu, Huiyu Gai, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 36
Closed Access | Times Cited: 14
Automation and machine learning augmented by large language models in a catalysis study
Yuming Su, Xue Wang, Yuanxiang Ye, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12200-12233
Open Access | Times Cited: 14
High throughput screening for electrocatalysts for nitrogen reduction reaction using metal-doped bilayer borophene: A combined approach of DFT and machine learning
Chen Chen, Bo Xiao, Zhongwei Li, et al.
Molecular Catalysis (2024) Vol. 557, pp. 113972-113972
Closed Access | Times Cited: 11
Machine learning-driven shortening the screening process towards high-performance nitrogen reduction reaction electrocatalysts with four-step screening strategy
Cheng He, Deli Chen, Wenxue Zhang
Journal of Colloid and Interface Science (2024) Vol. 676, pp. 22-32
Closed Access | Times Cited: 11
Machine Learning-Accelerated High-Throughput Computational Screening: Unveiling Bimetallic Nanoparticles with Peroxidase-Like Activity
Kaiwei Wan, Hui Wang, Xinghua Shi
ACS Nano (2024) Vol. 18, Iss. 19, pp. 12367-12376
Closed Access | Times Cited: 9
Tuning electronic environment of B sites in boron carbonitride nanoribbon boosts catalytic activity of reducing N2 to NH3
Kai Zhang, Rui Zhang, Yuxin Cui, et al.
Fuel (2024) Vol. 369, pp. 131750-131750
Closed Access | Times Cited: 6
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
The importance of surface coverages in the rational design of electrocatalysts
Anna Ciotti, Max García‐Melchor
Current Opinion in Electrochemistry (2023) Vol. 42, pp. 101402-101402
Open Access | Times Cited: 15
Machine Learning for Experimental Reactivity of a Set of Metal Clusters toward C–H Activation
Xi‐Guan Zhao, Qi Yang, Ying Xu, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 18, pp. 12485-12495
Closed Access | Times Cited: 5
Rational Design of Earth‐Abundant Catalysts toward Sustainability
Jinyang Guo, Yousof Haghshenas, Yiran Jiao, et al.
Advanced Materials (2024)
Open Access | Times Cited: 5
Computational design and experimental validation of monometallic-doped SnO2 catalysts for selective catalytic oxidation of ammonia
Yan Zhang, Min Zhang, Meng Wang, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 340, pp. 123256-123256
Open Access | Times Cited: 13
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
Dipole Effect on Oxygen Evolution Reaction of 2D Janus Single-Atom Catalysts: A Case of Rh Anchored on the P6m2-NP Configurations
Tao Huang, Zixuan Yang, Lei Li, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 9, pp. 2428-2435
Closed Access | Times Cited: 4
Data-Driven Design of Single-Atom Electrocatalysts with Intrinsic Descriptors for Carbon Dioxide Reduction Reaction
Xiaoyun Lin, Shiyu Zhen, Xiaohui Wang, et al.
Transactions of Tianjin University (2024)
Open Access | Times Cited: 4
Engineering the regulation strategy of active sites to explore the intrinsic mechanism over single‑atom catalysts in electrocatalysis
Wen Jiang, Qiang Xiao, Weidong Zhu, et al.
Journal of Colloid and Interface Science (2025) Vol. 693, pp. 137595-137595
Closed Access
High-Throughput Screening of Nitrogen Reduction Reaction on Single Atom@1T'-MoS2
Pengwei Zhao, Haozhi Wang, Zhong Huang, et al.
Applied Surface Science (2023) Vol. 631, pp. 157480-157480
Closed Access | Times Cited: 10
Atomically Dispersed Fe1Mo1 Dual Sites for Enhanced Electrocatalytic Nitrogen Reduction
Zihao Fan, Huiyuan Cheng, Bo Pang, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
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