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:
Deep inverse reinforcement learning for structural evolution of small molecules
Brighter Agyemang, Weiping Wu, Daniel Addo, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 9
Brighter Agyemang, Weiping Wu, Daniel Addo, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 9
Showing 9 citing articles:
MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning
Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012229-e1012229
Open Access | Times Cited: 14
Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012229-e1012229
Open Access | Times Cited: 14
Deep reinforcement learning in chemistry: A review
Bhuvanesh Sridharan, Animesh A. Sinha, Jai Bardhan, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 22, pp. 1886-1898
Closed Access | Times Cited: 5
Bhuvanesh Sridharan, Animesh A. Sinha, Jai Bardhan, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 22, pp. 1886-1898
Closed Access | Times Cited: 5
Advances and applications in inverse reinforcement learning: a comprehensive review
Saurabh Deshpande, Rahee Walambe, Ketan Kotecha, et al.
Neural Computing and Applications (2025)
Open Access
Saurabh Deshpande, Rahee Walambe, Ketan Kotecha, et al.
Neural Computing and Applications (2025)
Open Access
ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery
Jike Wang, Xiaorui Wang, Huiyong Sun, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 18, pp. 12482-12496
Closed Access | Times Cited: 21
Jike Wang, Xiaorui Wang, Huiyong Sun, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 18, pp. 12482-12496
Closed Access | Times Cited: 21
Deep Learning Applied to Ligand-Based De Novo Drug Design
Ferruccio Palazzesi, Alfonso Pozzan
Methods in molecular biology (2021), pp. 273-299
Closed Access | Times Cited: 26
Ferruccio Palazzesi, Alfonso Pozzan
Methods in molecular biology (2021), pp. 273-299
Closed Access | Times Cited: 26
A review of reinforcement learning in chemistry
Stephen Gow, Mahesan Niranjan, Samantha Kanza, et al.
Digital Discovery (2022) Vol. 1, Iss. 5, pp. 551-567
Open Access | Times Cited: 16
Stephen Gow, Mahesan Niranjan, Samantha Kanza, et al.
Digital Discovery (2022) Vol. 1, Iss. 5, pp. 551-567
Open Access | Times Cited: 16
Molecular substructure tree generative model for de novo drug design
Shuang Wang, Tao Song, Shugang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 21
Shuang Wang, Tao Song, Shugang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 21
Magicmol: a light-weighted pipeline for drug-like molecule evolution and quick chemical space exploration
Lin Chen, Qing Shen, Jungang Lou
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Lin Chen, Qing Shen, Jungang Lou
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Magicmol - A light-weighted pipeline for drug-like molecule evolution and quick chemical space exploration
Lin Chen, Qing Shen, Jungang Lou
Research Square (Research Square) (2022)
Open Access
Lin Chen, Qing Shen, Jungang Lou
Research Square (Research Square) (2022)
Open Access
