Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

DeepSCM: An efficient convolutional neural network surrogate model for the screening of therapeutic antibody viscosity
Pin‐Kuang Lai
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2143-2152
Open Access | Times Cited: 22

Showing 22 citing articles:

Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 21
DOTAD: A Database of Therapeutic Antibody Developability
Wenzhen Li, Hong‐Yan Lin, Ziru Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 3, pp. 623-634
Closed Access | Times Cited: 6
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 17
A framework for the biophysical screening of antibody mutations targeting solvent-accessible hydrophobic and electrostatic patches for enhanced viscosity profiles
Georgina Bethany Armstrong, Vidhi Shah, Paula Sanches, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2345-2357
Open Access | Times Cited: 4
How can we discover developable antibody-based biotherapeutics?
Joschka Bauer, Nandhini Rajagopal, Priyanka Gupta, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 14
Controllable image generation based on causal representation learning
Shanshan Huang, Yuanhao Wang, Zhili Gong, et al.
Frontiers of Information Technology & Electronic Engineering (2024) Vol. 25, Iss. 1, pp. 135-148
Closed Access | Times Cited: 3
DeepSP: Deep learning-based spatial properties to predict monoclonal antibody stability
Lateefat Kalejaye, I-En Wu, T. Philip Terry, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2220-2229
Open Access | Times Cited: 3
Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks
Jonathan Schmitt, Abbas Razvi, Christoph Grapentin
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Stability of Protein Pharmaceuticals: Recent Advances
Mark C. Manning, Ryan E. Holcomb, R. W. Payne, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 7, pp. 1301-1367
Closed Access | Times Cited: 2
Teaching biologics design using molecular modeling and simulations
Andrew J. Phillips, Anusha Srinivas, Ilina Prentoska Prentoska, et al.
Biochemistry and Molecular Biology Education (2024) Vol. 52, Iss. 3, pp. 299-310
Closed Access | Times Cited: 1
ProtT5 and random forests-based viscosity prediction method for therapeutic mAbs
Xiaohu Hao, Long Fan
European Journal of Pharmaceutical Sciences (2024) Vol. 194, pp. 106705-106705
Open Access | Times Cited: 1
Enhancing viscosity control in antibody formulations: A framework for the biophysical screening of mutations targeting solvent-accessible hydrophobic and electrostatic patches
Georgina Bethany Armstrong, Vidhi Shah, Paula Sanches, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Investigating the Mechanisms of Antibody Binding to Alpha-Synuclein for the Treatment of Parkinson’s Disease
Malcolm C. Harrison, Pin‐Kuang Lai
Molecular Pharmaceutics (2024)
Open Access | Times Cited: 1
Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals
S Parthiban, Thandarvalli Vijeesh, Thashanamoorthi Gayathri, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 4
DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability
Lateefat Kalejaye, I-En Wu, T. Philip Terry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Investigating the mechanisms of antibody binding to alpha-synuclein for the treatment of Parkinson’s Disease
Malcolm C. Harrison, Pin‐Kuang Lai
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors
Laura D’Orsi, Biagio Capasso, Giuseppe Lamacchia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11588-11588
Open Access
Detection and Classification of Power Quality Disturbances Using Deep Learning Algorithms
Mohammad Mosayebi, Sasan Azad, Amjad Anvari−Moghaddam
Power systems (2024), pp. 233-266
Closed Access
Leveraging Multi-Modal Feature Learning for Predictions of Antibody Viscosity
Krishna D. B. Anapindi, Kai Liu, Willie Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning
Li Bian, Senlin Luo, Wenhua Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Reconciling predicted and measured viscosity parameters in high concentration therapeutic antibody solutions
Georgina Bethany Armstrong, Aisling Roche, William Lewis, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access
Teaching biologics formulation using molecular modeling and simulations
Andrew J. Phillips, Anusha Srinivas, Ilina Prentoska Prentoska, et al.
(2023)
Open Access
Page 1

Scroll to top