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:

Artificial Intelligence in Chemistry: Current Trends and Future Directions
Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3197-3212
Closed Access | Times Cited: 182

Showing 26-50 of 182 citing articles:

Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes
Milad Kamkar, Kevin C. Leonard, Ivet Ferrer, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 8, pp. 2924-2926
Open Access | Times Cited: 12

ChatGPT Writing Assistance and Evaluation Assignments Across the Chemistry Curriculum
Emily F. Ruff, Mark A. Engen, Jeanne L. Franz, et al.
Journal of Chemical Education (2024) Vol. 101, Iss. 6, pp. 2483-2492
Open Access | Times Cited: 11

AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 11

Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: a review
Lunzhao Yi, Wenfu Wang, Yuhua Diao, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 180, pp. 117944-117944
Closed Access | Times Cited: 10

Flight traits of dengue-infected Aedes aegypti mosquitoes
Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108178-108178
Open Access | Times Cited: 9

Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions
Akihiro Kishimoto, Dan Wu, Donal F. O’Shea
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9

Possible opportunities and challenges for traditional Chinese medicine research in 2035
Nanqu Huang, Wendi Huang, Jingjing Wu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 9

A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Stefano Zampini, Guido Parodi, Luca Oneto, et al.
Information Fusion (2025), pp. 102996-102996
Open Access | Times Cited: 1

Artificial intelligence in microbial natural product drug discovery: current and emerging role
Vinodh J. Sahayasheela, Manendra B. Lankadasari, Vipin Mohan Dan, et al.
Natural Product Reports (2022) Vol. 39, Iss. 12, pp. 2215-2230
Open Access | Times Cited: 37

Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields
Kapil Dev Mahato, Uday Kumar
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 308, pp. 123768-123768
Closed Access | Times Cited: 19

Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel
Andrea Mastropietro, Christian Feldmann, Jürgen Bajorath
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17

A comprehensive review on sustainable surfactants from CNSL: chemistry, key applications and research perspectives
Veeramanoharan Ashokkumar, Seok Chan Kim
RSC Advances (2024) Vol. 14, Iss. 35, pp. 25429-25471
Open Access | Times Cited: 8

Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview
André Nicolle, Sili Deng, Matthias Ihme, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 597-620
Closed Access | Times Cited: 7

Artificial molecular pumps
Long Zhang, Huang Wu, Xuesong Li, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 7

AI in computational chemistry through the lens of a decade-long journey
Pavlo O. Dral
Chemical Communications (2024) Vol. 60, Iss. 24, pp. 3240-3258
Open Access | Times Cited: 7

Designer Anions for Better Rechargeable Lithium Batteries and Beyond
Ziyu Song, Xingxing Wang, Wenfang Feng, et al.
Advanced Materials (2024) Vol. 36, Iss. 33
Closed Access | Times Cited: 7

Comprehensive Exposure Studies of Per- and Polyfluoroalkyl Substances in the General Population: Target, Nontarget Screening, and Toxicity Prediction
Laihui Li, Nanyang Yu, Xuebin Wang, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 20, pp. 14617-14626
Closed Access | Times Cited: 26

Advancing health care via artificial intelligence: From concept to clinic
Grandhi Sandeep Ganesh, Aravinda Sai Kolusu, Prasad Konduri, et al.
European Journal of Pharmacology (2022) Vol. 934, pp. 175320-175320
Closed Access | Times Cited: 24

Current trends in chromatographic prediction using artificial intelligence and machine learning
Yash Raj Singh, Darshil B. Shah, Mangesh Kulkarni, et al.
Analytical Methods (2023) Vol. 15, Iss. 23, pp. 2785-2797
Closed Access | Times Cited: 14

Groundwater Quality and Suitability Assessment in Tirupur Region, Tamil Nadu, India
G. Senthil Kumar, Saravanan Kothandaraman, Kathiresan Karuppanan, et al.
Journal of Chemistry (2024) Vol. 2024, pp. 1-10
Open Access | Times Cited: 6

From Molecular Electronics to Molecular Intelligence
Chenshuai Yan, Chao Fang, Jinyu Gan, et al.
ACS Nano (2024) Vol. 18, Iss. 42, pp. 28531-28556
Closed Access | Times Cited: 5

Emerging chemistry technologies for a better world
Fernando Gomollón‐Bel, Javier García‐Martínez
Nature Chemistry (2022) Vol. 14, Iss. 2, pp. 113-114
Open Access | Times Cited: 20

Working at the interfaces of data science and synthetic electrochemistry
Jesus I. Martinez Alvarado, Jonathan M. Meinhardt, Song Lin
Tetrahedron Chem (2022) Vol. 1, pp. 100012-100012
Open Access | Times Cited: 20

Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights
Yuxinxin Chen, Yanchi Ou, Peikun Zheng, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 7
Closed Access | Times Cited: 12

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