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:
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series
Arianna Dagliati, Nophar Geifman, Niels Peek, et al.
Lecture notes in computer science (2019), pp. 399-409
Closed Access | Times Cited: 12
Arianna Dagliati, Nophar Geifman, Niels Peek, et al.
Lecture notes in computer science (2019), pp. 399-409
Closed Access | Times Cited: 12
Showing 12 citing articles:
Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease
Anthony D. Whetton, George W. Preston, Semira Abubeker, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 11, pp. 4219-4232
Open Access | Times Cited: 74
Anthony D. Whetton, George W. Preston, Semira Abubeker, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 11, pp. 4219-4232
Open Access | Times Cited: 74
A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes
Daniel Alcaide, Jan Aerts
PeerJ Computer Science (2021) Vol. 7, pp. e430-e430
Open Access | Times Cited: 5
Daniel Alcaide, Jan Aerts
PeerJ Computer Science (2021) Vol. 7, pp. e430-e430
Open Access | Times Cited: 5
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease
Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, et al.
Communications in computer and information science (2020), pp. 48-61
Closed Access | Times Cited: 3
Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, et al.
Communications in computer and information science (2020), pp. 48-61
Closed Access | Times Cited: 3
Phenotypes vs Processes: Understanding the Progression of Complications in Type 2 Diabetes. A Case Study
Roberto Tornero-Costa, Antonio MartÃnez-Millana, Juan Francisco Merino-Torres
Communications in computer and information science (2024), pp. 95-106
Closed Access
Roberto Tornero-Costa, Antonio MartÃnez-Millana, Juan Francisco Merino-Torres
Communications in computer and information science (2024), pp. 95-106
Closed Access
Inferring COVID-19 Biological Pathways from Clinical Phenotypes Via Topological Analysis
Negin Karisani, Daniel E. Platt, Saugata Basu, et al.
Studies in computational intelligence (2022), pp. 147-163
Open Access | Times Cited: 1
Negin Karisani, Daniel E. Platt, Saugata Basu, et al.
Studies in computational intelligence (2022), pp. 147-163
Open Access | Times Cited: 1
Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression
Seyed Erfan Sajjadi, Allan Tucker
(2021), pp. 241-246
Closed Access | Times Cited: 1
Seyed Erfan Sajjadi, Allan Tucker
(2021), pp. 241-246
Closed Access | Times Cited: 1
Inferring temporal dynamics from cross-sectional data using Langevin dynamics
Pritha Dutta, Rick Quax, Loes Crielaard, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 11
Open Access | Times Cited: 1
Pritha Dutta, Rick Quax, Loes Crielaard, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 11
Open Access | Times Cited: 1
Inferring temporal dynamics from cross-sectional data using Langevin dynamics
Pritha Dutta, Rick Quax, Loes Crielaard, et al.
arXiv (Cornell University) (2021)
Closed Access
Pritha Dutta, Rick Quax, Loes Crielaard, et al.
arXiv (Cornell University) (2021)
Closed Access
Peer Review #1 of "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes (v0.1)"
H Li
(2021)
Open Access
H Li
(2021)
Open Access
Peer Review #2 of "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes (v0.3)"
Daniel Alcaide, Jan Aerts
(2021)
Open Access
Daniel Alcaide, Jan Aerts
(2021)
Open Access
