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:

AIDeveloper: Deep Learning Image Classification in Life Science and Beyond
Martin Kräter, Shada Abuhattum, Despina Soteriou, et al.
Advanced Science (2021) Vol. 8, Iss. 11
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Label-free microfluidic cell sorting and detection for rapid blood analysis
Nan Lü, Hui Min Tay, Chayakorn Petchakup, et al.
Lab on a Chip (2023) Vol. 23, Iss. 5, pp. 1226-1257
Open Access | Times Cited: 69
Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies
Despina Soteriou, Markéta Kubánková, Christine Schweitzer, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 11, pp. 1392-1403
Open Access | Times Cited: 44
Single-Cell Mechanics: Structural Determinants and Functional Relevance
Marta Urbanska, Jochen Guck
Annual Review of Biophysics (2024) Vol. 53, Iss. 1, pp. 367-395
Closed Access | Times Cited: 18
Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy
Yu Cai, Rui Chen, Shenghan Gao, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 30
Toward Deep Biophysical Cytometry: Prospects and Challenges
Kelvin C. M. Lee, Jochen Guck, Keisuke Goda, et al.
Trends in biotechnology (2021) Vol. 39, Iss. 12, pp. 1249-1262
Closed Access | Times Cited: 43
A Machine Vision Perspective on Droplet‐Based Microfluidics
Ji‐Xiang Wang, Hongmei Wang, Huang Lai, et al.
Advanced Science (2025)
Open Access
Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry
Minh Doan, Claire M. Barnes, Claire McQuin, et al.
Nature Protocols (2021) Vol. 16, Iss. 7, pp. 3572-3595
Open Access | Times Cited: 32
AIMIC: Deep Learning for Microscopic Image Classification
Rui Liu, Wei Dai, Tianyi Wu, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107162-107162
Closed Access | Times Cited: 26
Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph)
Andreas Walther, Anne Mackens-Kiani, Julian Eder, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
A new hyperelastic lookup table for RT-DC
Lucas Daniel Wittwer, Felix Reichel, Paul Müller, et al.
Soft Matter (2023) Vol. 19, Iss. 11, pp. 2064-2073
Open Access | Times Cited: 14
Research on tire crack detection using image deep learning method
Shih-Lin Lin
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Shear Flow Deformability Cytometry: A Microfluidic Method Advancing Towards Clinical Use-A review
Lija Fajdiga, Špela Jokhadar Zemljič, Tadej Kokalj, et al.
Analytica Chimica Acta (2025), pp. 343894-343894
Open Access
Automated prediction of fibroblast phenotypes using mathematical descriptors of cellular features
Alex Khang, Abigail Barmore, Georgios Tseropoulos, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Machine learning assisted real-time deformability cytometry of CD34+ cells allows to identify patients with myelodysplastic syndromes
Maik Herbig, Angela Jacobi, Manja Wobus, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues
Maik Herbig, Karen Tessmer, Martin Nötzel, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Virtual-freezing fluorescence imaging flow cytometry with 5-aminolevulinic acid stimulation and antibody labeling for detecting all forms of circulating tumor cells
Hiroki Matsumura, Larina Tzu‐Wei Shen, Akihiro Isozaki, et al.
Lab on a Chip (2023) Vol. 23, Iss. 6, pp. 1561-1575
Open Access | Times Cited: 12
Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review
Yang Xiong, Yangchang Zhang, Fuxun Zhang, et al.
International Journal of Impotence Research (2022) Vol. 35, Iss. 2, pp. 95-102
Closed Access | Times Cited: 12
Deep learning in sex estimation from knee radiographs – A proof-of-concept study utilizing the Terry Anatomical Collection
Petteri Oura, Juho‐Antti Junno, David Hunt, et al.
Legal Medicine (2023) Vol. 61, pp. 102211-102211
Open Access | Times Cited: 7
Deep learning in sex estimation from photographed human mandible using the Human Osteological Research Collection
Anniina Kuha, Jan H. P. Ackermann, Juho‐Antti Junno, et al.
Legal Medicine (2024) Vol. 70, pp. 102476-102476
Open Access | Times Cited: 2
Multimodal FACED imaging for large-scale single-cell morphological profiling
Gwinky G. K. Yip, Michelle C. K. Lo, Wenwei Yan, et al.
APL Photonics (2021) Vol. 6, Iss. 7
Open Access | Times Cited: 16
Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization
Jeffrey Harmon, Justin Findinier, Natsumi Tiffany Ishii, et al.
Cytometry Part A (2022) Vol. 101, Iss. 12, pp. 1027-1034
Closed Access | Times Cited: 10
Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra—a proof-of-concept study
Petteri Oura, Niina Korpinen, Allison L. Machnicki, et al.
Forensic Science Medicine and Pathology (2023) Vol. 19, Iss. 4, pp. 534-540
Open Access | Times Cited: 5
Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae
Mika Hayashi, Shinsuke Ohnuki, Yating Tsai, et al.
Lab on a Chip (2023) Vol. 23, Iss. 19, pp. 4232-4244
Closed Access | Times Cited: 5
Real‐time intelligent classification of COVID‐19 and thrombosis via massive image‐based analysis of platelet aggregates
Chenqi Zhang, Maik Herbig, Yuqi Zhou, et al.
Cytometry Part A (2023) Vol. 103, Iss. 6, pp. 492-499
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top