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:
Big data analytics in single‐cell transcriptomics: Five grand opportunities
N Bhattacharya, Colleen C. Nelson, Gaurav Ahuja, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 4
Closed Access | Times Cited: 5
N Bhattacharya, Colleen C. Nelson, Gaurav Ahuja, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 4
Closed Access | Times Cited: 5
Showing 5 citing articles:
Humanity and AI: Collaborating for a Flourishing Planet Through Wise Decision-Making
Leonie Hallo, Anastasia Hanzis, Caroline Rowe
Challenges (2025) Vol. 16, Iss. 1, pp. 14-14
Open Access
Leonie Hallo, Anastasia Hanzis, Caroline Rowe
Challenges (2025) Vol. 16, Iss. 1, pp. 14-14
Open Access
Pseudo-grading of tumor subpopulations from single-cell transcriptomic data using Phenotype Algebra
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
(2024)
Open Access | Times Cited: 1
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
(2024)
Open Access | Times Cited: 1
Machine Learning and Ensemble Learning for Transcriptome Data: Principles and Advances
Zijie Wang, Yi Jiang, Zhule Liu, et al.
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) (2022), pp. 676-683
Closed Access | Times Cited: 3
Zijie Wang, Yi Jiang, Zhule Liu, et al.
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) (2022), pp. 676-683
Closed Access | Times Cited: 3
Pseudo-grading of tumor subpopulations from single-cell transcriptomic data using Phenotype Algebra
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
(2024)
Open Access
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
(2024)
Open Access
Pseudo-grading of tumor subpopulations from single-cell transcriptomic data using Phenotype Algebra
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
