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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:

A Physical Organic Approach towards Statistical Modeling of Tetrazole and Azide Decomposition**
Jonas Rein, Jonathan M. Meinhardt, Julie L. Hofstra Wahlman, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 17
Open Access | Times Cited: 16

Showing 16 citing articles:

Introduction to Predicting Properties of Organic Materials
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 27-63
Closed Access | Times Cited: 1
Rational Design of Conjugated Polymers for Photocatalytic CO2 Reduction: Towards Localized CO Production and Macrophage Polarization
Chuanwei Zhu, Junjie Cheng, Hongrui Lin, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 36, pp. 24832-24841
Closed Access | Times Cited: 5
Multi‐Threshold Analysis for Chemical Space Mapping of Ni‐Catalyzed Suzuki‐Miyaura Couplings
Austin LeSueur, Nari Tao, Abigail G. Doyle, et al.
European Journal of Organic Chemistry (2024)
Closed Access | Times Cited: 4
Predictive Modeling for Energetic Materials
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 265-310
Closed Access
Introduction to Machine Learning for Predictive Modeling of Organic Materials
Didier Mathieu, Clément Wespiser
Challenges and advances in computational chemistry and physics (2025), pp. 43-60
Closed Access
A physical organic strategy to predict and interpret stabilities of chemical bonds in energetic compounds for the discovery of thermal-resistant properties
Haitao Liu, Chen Peng, Xin Huang, et al.
Journal of Molecular Modeling (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 3
Continuous preparation and reaction of nonaflyl azide (NfN3) for the synthesis of organic azides and 1,2,3-triazoles
Sebastian P. Green, Hannah C. Broderick, Katherine M. P. Wheelhouse, et al.
Journal of Flow Chemistry (2024) Vol. 14, Iss. 3, pp. 559-568
Open Access | Times Cited: 1
Interpretable and Physicochemical-Intuitive Deep Learning Approach for the Design of Thermal Resistance of Energetic Compounds
Haitao Liu, Peng Chen, Chaoyang Zhang, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 41, pp. 9045-9054
Closed Access | Times Cited: 1
Towards advanced N-rich energetic explosives: based on tetrazole and triazole groups with large conjugated systems and extensive hydrogen bonds
Guofeng Zhang, Hao Xue, Yongbin Zou, et al.
Journal of Materials Chemistry A (2024)
Closed Access | Times Cited: 1
Grammar of Impact Sensitivity: An Incremental Theory
Sergey V. Bondarchuk, Zhixiang Zhang, Chao Chen, et al.
The Journal of Physical Chemistry A (2023) Vol. 127, Iss. 49, pp. 10506-10516
Closed Access | Times Cited: 3
Overriding Innate Decomposition Temperatures of an Avibactam Prodrug Precursor using Data Science-Guided Synthesis
Jacob Werth, Michael Butler, Jenson Verghese, et al.
(2023)
Open Access | Times Cited: 2
A Physical Organic Strategy to Predict and Interpret Stabilities of Chemical Bonds in Energetic Compounds for the Discovery of Thermal-Resistant Properties
Haitao Liu, Peng Chen, Xin Huang, et al.
Research Square (Research Square) (2024)
Open Access
Overriding Innate Decomposition Temperatures of an Avibactam Prodrug Precursor Using Data Science-Guided Synthesis
Jacob Werth, Michael Butler, Jenson Verghese, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 4, pp. 1233-1238
Closed Access
Quantitatively Determining Melting Properties for Energetic Compounds Via Knowledge-Infused Molecular Graphs and Interpretable Deep Learning
Peng Chen, Haitao Liu, Chaoyang Zhang, et al.
(2024)
Closed Access
Quantitatively determining melting properties for energetic compounds via knowledge-infused molecular graphs and interpretable deep learning
Peng Chen, Haitao Liu, Chaoyang Zhang, et al.
Energetic Materials Frontiers (2024)
Open Access
Data-Driven Discovery of a New Fluorescent BASHY Dye for Bioimaging
João M. J. M. Ravasco, João Felicidade, Maria V. Pinto, et al.
JACS Au (2024) Vol. 4, Iss. 11, pp. 4212-4222
Open Access
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