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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:

Design of Thermally Activated Delayed Fluorescence Materials with High Intersystem Crossing Efficiencies by Machine Learning-Assisted Virtual Screening
Ping Li, Zijie Wang, Wenjing Li, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 42, pp. 9910-9918
Closed Access | Times Cited: 14

Showing 14 citing articles:

Intramolecular charge transfer for optical applications
Pralok K. Samanta, Ramprasad Misra
Journal of Applied Physics (2023) Vol. 133, Iss. 2
Open Access | Times Cited: 38
Precise Regulation on the Bond Dissociation Energy of Exocyclic C–N Bonds in Various N-Heterocycle Electron Donors via Machine Learning
Qingyu Meng, Rui Wang, Haoyun Shao, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 16, pp. 4422-4429
Closed Access | Times Cited: 4
Bayesian Molecular Optimization for Accelerating Reverse Intersystem Crossing
Taehyun Won, Naoya Aizawa, Yu Harabuchi, et al.
Chemical Science (2025)
Open Access
Accelerating rational organoborazine discovery: predicted by machine learning, synthesized under continuous flow
Alireza Nazari Khodadadi, Ejdi Cela, Hamidreza Mosaffa, et al.
Green Synthesis and Catalysis (2025)
Open Access
Perspectives on Development of Optoelectronic Materials in Artificial Intelligence Age
Ting Yuan, Xianzhi Song, Yuxin Shi, et al.
Chemistry - An Asian Journal (2024) Vol. 19, Iss. 6
Closed Access | Times Cited: 3
Construction frontier molecular orbital prediction model with transfer learning for organic materials
Xinyu Peng, Jiaojiao Liang, Kuo Wang, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
High-throughput transient photoluminescence spectrometer for deep learning of thermally activated delayed fluorescence materials
Minori Furukori, Y. Nagamune, Yasuo Nakayama, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 13, pp. 4357-4364
Closed Access | Times Cited: 6
Manipulating Multiple Resonance-Charge Transfer Hybrid Proportion for Developing Red Narrowband Thermally Activated Delayed Fluorescence Materials
Ping Li, Yewen Zhang, Qixin Lv, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 38, pp. 8531-8540
Closed Access | Times Cited: 5
固态下给体和受体的合理排列促进空间电荷转移型热激活延迟荧光
Ping Li, Cefeng Zhou, Wenjing Li, et al.
Science China Materials (2023) Vol. 66, Iss. 10, pp. 3958-3967
Open Access | Times Cited: 5
An integrated screening approach for designing efficient thermally activated delayed fluorescent materials for OLEDs
Hongxiang Guo, Gaoshang Jiang, Bowen Diao, et al.
Journal of Materials Chemistry C (2024) Vol. 12, Iss. 36, pp. 14515-14522
Closed Access | Times Cited: 1
Advanced High‐Throughput Rational Design of Porphyrin‐Sensitized Solar Cells Using Interpretable Machine Learning
Jian‐Ming Liao, Yu‐Hsuan Chen, Hsuan‐Wei Lee, et al.
Advanced Science (2024) Vol. 11, Iss. 43
Open Access | Times Cited: 1
Deep Learning-Based Chemical Similarity for Accelerated Organic Light-Emitting Diode Materials Discovery
Hyeonsu Kim, Kyung-Hoon Lee, Jun Hyeong Kim, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 677-689
Closed Access | Times Cited: 1
Achieving narrowband emissions with tunable colors for multiple resonance-thermally activated delayed fluorescence materials: effect of boron/nitrogen number and position
Ping Li, Yewen Zhang, Wenjing Li, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 40, pp. 27877-27884
Closed Access | Times Cited: 3
Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices
T.-W. Lee, Jeongwhan Choi, In-Yeob Na, et al.
Advanced Intelligent Systems (2024)
Open Access
Comparative Analyses of Data Driven Machine Learning Models for TADF Emitters
Kalishankar Bhattacharyya
(2023)
Open Access | Times Cited: 1
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