Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of topology-based structure features for machine learning in materials science
Shisheng Zheng, Haowen Ding, Shunning Li, et al.
Chinese Journal of Structural Chemistry (2023) Vol. 42, Iss. 7, pp. 100120-100120
Closed Access | Times Cited: 11

Showing 11 citing articles:

Computational approach inspired advancements of solid-state electrolytes for lithium secondary batteries: from first-principles to machine learning
Zhuoyuan Zheng, Jie Zhou, Yusong Zhu
Chemical Society Reviews (2024) Vol. 53, Iss. 6, pp. 3134-3166
Closed Access | Times Cited: 20
Screening biomass by machine learning to construct Fe/Co loaded carbon for organic pollutants degradation via peroxymonosulfate activation
Baoying Wang, Huanyan Xu, Jingming Lan, et al.
Separation and Purification Technology (2025), pp. 131664-131664
Closed Access | Times Cited: 2
Topology-based machine learning for predicting curvature effects in metal-nitrogen-carbon single-atom catalysts
Ge-Hao Liang, Heng-Su Liu, Ximing Zhang, et al.
Journal of Energy Chemistry (2025)
Closed Access | Times Cited: 2
Structural analysis of bond information entropy and HOMO-LUMO gap in CLO and KFI zeolites
P Zaleski Daniel, Micheal Arockiaraj, P Peter, et al.
Journal of Molecular Structure (2025) Vol. 1328, pp. 141276-141276
Closed Access
Crystal Structure Prediction and Performance Assessment of Hydrogen Storage Materials: Insights from Computational Materials Science
Xi Yang, Yuting Li, Yitao Liu, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3591-3591
Open Access | Times Cited: 3
Accelerating design of phthalocyanine-based catalysts for electrocatalytic reduction of nitric oxide: A DFT and machine learning study
Lixin Ye, Jiake Fan, Lei Yang, et al.
Computational and Theoretical Chemistry (2025), pp. 115215-115215
Closed Access
Investigation of water structure and proton transfer within confined graphene by ab initio molecule dynamics and multiscale data analysis
Heng-Su Liu, Ximing Zhang, Ge-Hao Liang, et al.
Chinese Journal of Structural Chemistry (2025), pp. 100596-100596
Closed Access
Two-dimensional carbon/boron nitrides: modification, machine learning and beyond
Qi Wu, YangRui Lin, Yangwenting Ou, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 24, pp. 14302-14333
Closed Access | Times Cited: 1
Rewc-GNN Algorithm for the Property Prediction of Large-Scale Crystals
M. Kalpana Bai, Haoxuan Diao, Xijiao Mu, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 30, pp. 6183-6189
Closed Access
Machine Learning Assisted Imprinted Ag@PANI/CoFe2O4/C Heterojunction with Simultaneous Improvement of Selectivity and Activity for Antibiotic Photodegradation
Xiangyan Zhang, Binghui Wei, Yu Cheng, et al.
Water Air & Soil Pollution (2024) Vol. 235, Iss. 11
Closed Access
Understanding of Wetting Mechanism Toward the Sticky Powder and Machine Learning in Predicting Granule Size Distribution Under High Shear Wet Granulation
Yanling Jiang, Kangming Zhou, Haiyan He, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 8
Closed Access
Page 1

Scroll to top