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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:
Defining and Exploring Chemical Spaces
Connor W. Coley
Trends in Chemistry (2020) Vol. 3, Iss. 2, pp. 133-145
Open Access | Times Cited: 108
Connor W. Coley
Trends in Chemistry (2020) Vol. 3, Iss. 2, pp. 133-145
Open Access | Times Cited: 108
Showing 1-25 of 108 citing articles:
Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking
Francesco Gentile, Jean Charle Yaacoub, James Gleave, et al.
Nature Protocols (2022) Vol. 17, Iss. 3, pp. 672-697
Open Access | Times Cited: 233
Francesco Gentile, Jean Charle Yaacoub, James Gleave, et al.
Nature Protocols (2022) Vol. 17, Iss. 3, pp. 672-697
Open Access | Times Cited: 233
Generative Models as an Emerging Paradigm in the Chemical Sciences
Dylan M. Anstine, Olexandr Isayev
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 8736-8750
Open Access | Times Cited: 142
Dylan M. Anstine, Olexandr Isayev
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 8736-8750
Open Access | Times Cited: 142
Human- and machine-centred designs of molecules and materials for sustainability and decarbonization
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 84
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 84
From Platform to Knowledge Graph: Evolution of Laboratory Automation
Jiaru Bai, Liwei Cao, Sebastian Mosbach, et al.
JACS Au (2022) Vol. 2, Iss. 2, pp. 292-309
Open Access | Times Cited: 68
Jiaru Bai, Liwei Cao, Sebastian Mosbach, et al.
JACS Au (2022) Vol. 2, Iss. 2, pp. 292-309
Open Access | Times Cited: 68
Non-targeted analysis (NTA) and suspect screening analysis (SSA): a review of examining the chemical exposome
Katherine E. Manz, Anna Feerick, Joseph M. Braun, et al.
Journal of Exposure Science & Environmental Epidemiology (2023) Vol. 33, Iss. 4, pp. 524-536
Open Access | Times Cited: 66
Katherine E. Manz, Anna Feerick, Joseph M. Braun, et al.
Journal of Exposure Science & Environmental Epidemiology (2023) Vol. 33, Iss. 4, pp. 524-536
Open Access | Times Cited: 66
Computer-aided multi-objective optimization in small molecule discovery
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 65
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 65
High-throughput property-driven generative design of functional organic molecules
Julia Westermayr, Joe Gilkes, Rhyan Barrett, et al.
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 139-148
Open Access | Times Cited: 46
Julia Westermayr, Joe Gilkes, Rhyan Barrett, et al.
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 139-148
Open Access | Times Cited: 46
Neural scaling of deep chemical models
Nathan C. Frey, Ryan Soklaski, Simon Axelrod, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 11, pp. 1297-1305
Open Access | Times Cited: 42
Nathan C. Frey, Ryan Soklaski, Simon Axelrod, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 11, pp. 1297-1305
Open Access | Times Cited: 42
Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning
Roshan Patel, Michael Webb
ACS Applied Bio Materials (2023) Vol. 7, Iss. 2, pp. 510-527
Closed Access | Times Cited: 40
Roshan Patel, Michael Webb
ACS Applied Bio Materials (2023) Vol. 7, Iss. 2, pp. 510-527
Closed Access | Times Cited: 40
Enantioselectivity prediction of pallada-electrocatalysed C–H activation using transition state knowledge in machine learning
Li‐Cheng Xu, Johanna Frey, Xiaoyan Hou, et al.
Nature Synthesis (2023) Vol. 2, Iss. 4, pp. 321-330
Closed Access | Times Cited: 40
Li‐Cheng Xu, Johanna Frey, Xiaoyan Hou, et al.
Nature Synthesis (2023) Vol. 2, Iss. 4, pp. 321-330
Closed Access | Times Cited: 40
Bayesian optimization of nanoporous materials
Aryan Deshwal, Cory M. Simon, Janardhan Rao Doppa
Molecular Systems Design & Engineering (2021) Vol. 6, Iss. 12, pp. 1066-1086
Open Access | Times Cited: 67
Aryan Deshwal, Cory M. Simon, Janardhan Rao Doppa
Molecular Systems Design & Engineering (2021) Vol. 6, Iss. 12, pp. 1066-1086
Open Access | Times Cited: 67
Featurization strategies for polymer sequence or composition design by machine learning
Roshan Patel, Carlos H. Borca, Michael Webb
Molecular Systems Design & Engineering (2022) Vol. 7, Iss. 6, pp. 661-676
Closed Access | Times Cited: 62
Roshan Patel, Carlos H. Borca, Michael Webb
Molecular Systems Design & Engineering (2022) Vol. 7, Iss. 6, pp. 661-676
Closed Access | Times Cited: 62
Attention-based generative models for de novo molecular design
Orion Dollar, Nisarg Joshi, David A. C. Beck, et al.
Chemical Science (2021) Vol. 12, Iss. 24, pp. 8362-8372
Open Access | Times Cited: 54
Orion Dollar, Nisarg Joshi, David A. C. Beck, et al.
Chemical Science (2021) Vol. 12, Iss. 24, pp. 8362-8372
Open Access | Times Cited: 54
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries
Shree Sowndarya S. V., Jeffrey Law, Charles Tripp, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 8, pp. 720-730
Open Access | Times Cited: 51
Shree Sowndarya S. V., Jeffrey Law, Charles Tripp, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 8, pp. 720-730
Open Access | Times Cited: 51
Chemical Multiverse: An Expanded View of Chemical Space
José L. Medina‐Franco, Ana L. Chávez‐Hernández, Edgar López‐López, et al.
Molecular Informatics (2022) Vol. 41, Iss. 11
Open Access | Times Cited: 49
José L. Medina‐Franco, Ana L. Chávez‐Hernández, Edgar López‐López, et al.
Molecular Informatics (2022) Vol. 41, Iss. 11
Open Access | Times Cited: 49
High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions
Kevin Spiekermann, Lagnajit Pattanaik, William H. Green
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
Kevin Spiekermann, Lagnajit Pattanaik, William H. Green
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, et al.
Computers & Chemical Engineering (2023) Vol. 172, pp. 108194-108194
Open Access | Times Cited: 19
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, et al.
Computers & Chemical Engineering (2023) Vol. 172, pp. 108194-108194
Open Access | Times Cited: 19
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
Yuesen Li, Chengyi Gao, Xin Song, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 19
Yuesen Li, Chengyi Gao, Xin Song, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 19
Chemical space as a unifying theme for chemistry
Jean‐Louis Reymond
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Jean‐Louis Reymond
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Progress on open chemoinformatic tools for expanding and exploring the chemical space
José L. Medina‐Franco, Norberto Sánchez‐Cruz, Edgar López‐López, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 36, Iss. 5, pp. 341-354
Open Access | Times Cited: 51
José L. Medina‐Franco, Norberto Sánchez‐Cruz, Edgar López‐López, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 36, Iss. 5, pp. 341-354
Open Access | Times Cited: 51
Diversity and Chemical Library Networks of Large Data Sets
Timothy B. Dunn, Gustavo Seabra, Taewon David Kim, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2186-2201
Closed Access | Times Cited: 45
Timothy B. Dunn, Gustavo Seabra, Taewon David Kim, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2186-2201
Closed Access | Times Cited: 45
Grand Challenges of Computer-Aided Drug Design: The Road Ahead
José L. Medina‐Franco
Frontiers in Drug Discovery (2021) Vol. 1
Open Access | Times Cited: 40
José L. Medina‐Franco
Frontiers in Drug Discovery (2021) Vol. 1
Open Access | Times Cited: 40
Deep molecular dreaming: inverse machine learning for de-novo molecular design and interpretability with surjective representations
Cynthia Shen, Mario Krenn, Sagi Eppel, et al.
Machine Learning Science and Technology (2021) Vol. 2, Iss. 3, pp. 03LT02-03LT02
Open Access | Times Cited: 39
Cynthia Shen, Mario Krenn, Sagi Eppel, et al.
Machine Learning Science and Technology (2021) Vol. 2, Iss. 3, pp. 03LT02-03LT02
Open Access | Times Cited: 39
Bridging informatics and medicinal inorganic chemistry: Toward a database of metallodrugs and metallodrug candidates
José L. Medina‐Franco, Edgar López‐López, Emma Andrade, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 5, pp. 1420-1430
Closed Access | Times Cited: 26
José L. Medina‐Franco, Edgar López‐López, Emma Andrade, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 5, pp. 1420-1430
Closed Access | Times Cited: 26
Fake it until you make it? Generative de novo design and virtual screening of synthesizable molecules
Megan Stanley, Marwin Segler
Current Opinion in Structural Biology (2023) Vol. 82, pp. 102658-102658
Open Access | Times Cited: 19
Megan Stanley, Marwin Segler
Current Opinion in Structural Biology (2023) Vol. 82, pp. 102658-102658
Open Access | Times Cited: 19