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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:

Controlled Synthesis of Multicolor Carbon Dots Assisted by Machine Learning
Jiao Chen, Jun Luo, M. Hu, et al.
Advanced Functional Materials (2022) Vol. 33, Iss. 2
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Carbon Dots Based Photoinduced Reactions: Advances and Perspective
Yue Yu, Qingsen Zeng, Songyuan Tao, et al.
Advanced Science (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 96
Unveiling Unconventional Luminescence Behavior of Multicolor Carbon Dots Derived from Phenylenediamine
Yan Fang, Jiurong Li, Xiujian Zhao, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 26, pp. 5975-5984
Closed Access | Times Cited: 57
Exploiting machine learning for controlled synthesis of carbon dots-based corrosion inhibitors
Haijie He, E Shuang, Li Ai, et al.
Journal of Cleaner Production (2023) Vol. 419, pp. 138210-138210
Closed Access | Times Cited: 57
Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots
Huazhang Guo, Yuhao Lu, Zhendong Lei, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 52
Machine learning applications in nanomaterials: Recent advances and future perspectives
Liang Yang, Hong Wang, Deying Leng, et al.
Chemical Engineering Journal (2024), pp. 156687-156687
Closed Access | Times Cited: 22
Multicolor luminescence of carbon Dots: From mechanisms to applications
Man Jiang, Yuzhu Sun, Mingyue Chen, et al.
Chemical Engineering Journal (2024) Vol. 496, pp. 153761-153761
Closed Access | Times Cited: 21
Precursor Symmetry Triggered Modulation of Fluorescence Quantum Yield in Graphene Quantum Dots
Liangfeng Chen, Siwei Yang, Yongqiang Li, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 36
Closed Access | Times Cited: 20
Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System
Cheng Zhang, Mohan Chen, Yelong Pan, et al.
Advanced Science (2023) Vol. 10, Iss. 16
Open Access | Times Cited: 41
Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing
Maryam Mousavizadegan, Ali Firoozbakhtian, Morteza Hosseini, et al.
TrAC Trends in Analytical Chemistry (2023) Vol. 167, pp. 117216-117216
Closed Access | Times Cited: 39
Optical Properties Prediction for Red and Near‐Infrared Emitting Carbon Dots Using Machine Learning
Vladislav S. Tuchin, Evgeniia A. Stepanidenko, Anna A. Vedernikova, et al.
Small (2024) Vol. 20, Iss. 29
Closed Access | Times Cited: 12
Application of artificial intelligence (AI)-enhanced biochemical sensing in molecular diagnosis and imaging analysis: Advancing and challenges
Haiqin Li, Hong Xu, Yanlei Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 174, pp. 117700-117700
Closed Access | Times Cited: 11
Machine learning-assisted carbon dots synthesis and analysis: state of the art and future directions
Fanyong Yan, Ruixue Bai, Juanru Huang, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118141-118141
Closed Access | Times Cited: 1
Strategic Assessment of Boron-Enriched Carbon Dots/Naproxen: Diagnostic, Toxicity, and In Vivo Therapeutic Evaluation
Aswandi Wibrianto, Febrianti S. D. Putri, Ummi K. Nisa, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 2, pp. 801-812
Closed Access | Times Cited: 7
Carbon Dots for Future Prospects: Synthesis, Characterizations and Recent Applications: A Review (2019–2023)
Habtamu Fekadu Etefa, Aster Aberra Tessema, F.B. Dejene
C – Journal of Carbon Research (2024) Vol. 10, Iss. 3, pp. 60-60
Open Access | Times Cited: 6
Machine Learning for Carbon Dots Synthesis and Applications
Ali Nabi Duman, Almaz S. Jalilov
Materials Advances (2024) Vol. 5, Iss. 18, pp. 7097-7112
Open Access | Times Cited: 6
ROBERT: Bridging the Gap Between Machine Learning and Chemistry
David Dalmau, Juan V. Alegre‐Requena
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 6
Machine-learning analysis to predict the fluorescence quantum yield of carbon quantum dots in biochar
Jiao Chen, Mengqian Zhang, Zijun Xu, et al.
The Science of The Total Environment (2023) Vol. 896, pp. 165136-165136
Closed Access | Times Cited: 16
Synthesis of carbon dots with predictable photoluminescence by the aid of machine learning
Chenyu Xing, Gaoyu Chen, Xia Zhu, et al.
Nano Research (2023) Vol. 17, Iss. 3, pp. 1984-1989
Closed Access | Times Cited: 12
Blue, Yellow, and Red Carbon Dots from Aromatic Precursors for Light-Emitting Diodes
Zhenzhen Liu, Xiaofei Lu, Menglin Liu, et al.
Molecules (2023) Vol. 28, Iss. 7, pp. 2957-2957
Open Access | Times Cited: 11
Holistic Prediction of AuNP Aggregation in Diverse Aqueous Suspensions Based on Machine Vision and Dark-Field Scattering Imaging
Xiaoyuan Wang, Hong Qin, Ze‐Rui Zhou, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 4, pp. 1506-1514
Closed Access | Times Cited: 4
Machine Learning-Guided Synthesis of Room-Temperature Phosphorescent Carbon Dots for Enhanced Phosphorescence Lifetime and Information Encryption
Diva Addini Maghribi Muyassiroh, Fitri Aulia Permatasari, Tomoyuki Hirano, et al.
ACS Applied Nano Materials (2024) Vol. 7, Iss. 5, pp. 5465-5475
Closed Access | Times Cited: 4
Carbon Dots for Future Prospects: Synthesis, Characterizations and Recent Applications: A Review (2019–2023)
Habtamu Fekadu Etefa, Aster Aberra Tessema, F.B. Dejene
(2024)
Open Access | Times Cited: 4
Computational Modeling of Properties of Quantum Dots and Nanostructures: From First Principles to Artificial Intelligence (A Review)
Grzegorz Matyszczak, Krzysztof Krawczyk, Albert Yedzikhanau
Nanomaterials (2025) Vol. 15, Iss. 4, pp. 272-272
Open Access
Machine Learning Assisted Differential Diagnosis of Pulmonary Nodules Based on 3D Images Reconstructed From CT Scans
Xiaoyuan Wang, Hong Qin, Da‐Wei Li, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Applications of Machine Learning Predictive Modeling for Carbon Quantum Dots
Maryam Salahinejad, Ali Roozbahani
Challenges and advances in computational chemistry and physics (2025), pp. 81-108
Closed Access
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