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:
Screening of transition metal dual-atom catalysts for hydrogen evolution reaction based on high-throughput calculation and searching surrogate prediction model using simple features
Jiu-Ning Wang, Wei Xu, Jun He, et al.
Applied Surface Science (2024) Vol. 659, pp. 159942-159942
Closed Access | Times Cited: 8
Jiu-Ning Wang, Wei Xu, Jun He, et al.
Applied Surface Science (2024) Vol. 659, pp. 159942-159942
Closed Access | Times Cited: 8
Showing 8 citing articles:
From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 26
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 26
Screened (Co, Rh, Ir)–N4 graphene single atom catalysts for hydrogen production via tunable surrounding coordination shell: Computation and machine learning
Jiu-Ning Wang, Wei Xu, Hao Ma, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 186-193
Closed Access
Jiu-Ning Wang, Wei Xu, Hao Ma, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 186-193
Closed Access
Copper doping tunes d-band center to enhance hydrogen evolution in global minimum Fe clusters on FeN4‒graphene
Jiu-Ning Wang, Qasim Qasim, Wei Xu, et al.
Journal of Physics and Chemistry of Solids (2025), pp. 112640-112640
Closed Access
Jiu-Ning Wang, Qasim Qasim, Wei Xu, et al.
Journal of Physics and Chemistry of Solids (2025), pp. 112640-112640
Closed Access
Recent Progress in the Design and Application of Strong Metal–Support Interactions in Electrocatalysis
Hongcheng Zhang, Huimin Xu, Chen‐Jin Huang, et al.
Inorganic Chemistry (2025)
Closed Access
Hongcheng Zhang, Huimin Xu, Chen‐Jin Huang, et al.
Inorganic Chemistry (2025)
Closed 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
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Fast-Track to Catalyst Stability: Machine Learning Optimized Predictions for M1/M2-N6-Gra Catalysts
Pengxin Pu, Xin Song, Hu Ding, et al.
The Journal of Physical Chemistry Letters (2025), pp. 4253-4261
Closed Access
Pengxin Pu, Xin Song, Hu Ding, et al.
The Journal of Physical Chemistry Letters (2025), pp. 4253-4261
Closed Access
Machine Learning-Assisted Design of Transition-Metal-Doped Cobalt Phosphide Electrocatalysts for Hydrogen Evolution
Shanshan Fan, Yang Gao, Min Wu, et al.
ACS Applied Nano Materials (2025)
Closed Access
Shanshan Fan, Yang Gao, Min Wu, et al.
ACS Applied Nano Materials (2025)
Closed Access
Coupled metal atomic pairs for synergistic electrocatalytic CO2 reduction
Xinyu Zhan, Xinyi Fan, Weixiang Li, et al.
Matter (2024) Vol. 7, Iss. 12, pp. 4206-4232
Closed Access | Times Cited: 2
Xinyu Zhan, Xinyi Fan, Weixiang Li, et al.
Matter (2024) Vol. 7, Iss. 12, pp. 4206-4232
Closed Access | Times Cited: 2
