OpenAlex Citation Counts

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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:

Review of Artificial Intelligence Applications and Algorithms for Brain Organoid Research
Jiayidaer Badai, Qian Bu, Le Zhang
Interdisciplinary Sciences Computational Life Sciences (2020) Vol. 12, Iss. 4, pp. 383-394
Closed Access | Times Cited: 15

Showing 15 citing articles:

AI-enabled organoids: Construction, analysis, and application
Long Bai, Yan Wu, Guangfeng Li, et al.
Bioactive Materials (2023) Vol. 31, pp. 525-548
Open Access | Times Cited: 79

Organoid intelligence: Integration of organoid technology and artificial intelligence in the new era of in vitro models
Huaiyu Shi, Andrew Kowalczewski, Danny Vu, et al.
Medicine in Novel Technology and Devices (2023) Vol. 21, pp. 100276-100276
Open Access | Times Cited: 25

Organoid bioinks: construction and application
Fuxiao Wang, Peiran Song, Jian Wang, et al.
Biofabrication (2024) Vol. 16, Iss. 3, pp. 032006-032006
Open Access | Times Cited: 12

Harnessing the power of artificial intelligence for human living organoid research
Hui Wang, Xiangyang Li, Xiaoyan You, et al.
Bioactive Materials (2024) Vol. 42, pp. 140-164
Open Access | Times Cited: 10

Lung Organoids: Systematic Review of Recent Advancements and its Future Perspectives
T. Thangam, Krupakar Parthasarathy, Kolli Venkata Supraja, et al.
Tissue Engineering and Regenerative Medicine (2024) Vol. 21, Iss. 5, pp. 653-671
Closed Access | Times Cited: 4

Artificial Intelligence in Predicting Hard Tissue Regeneration: Current Situation and Upcoming Perspectives
Nura Brimo, Dilek Çökeli̇ler Serdaroğlu, Halit Muhittin, et al.
(2025), pp. 73-86
Closed Access

The Effects of Environmental Adversities on Human Neocortical Neurogenesis Modeled in Brain Organoids
Kseniia Sarieva, Simone Mayer
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 21

Interfacing brain organoids with precision medicine and machine learning
Honghui Zheng, Yilin Feng, Jiyuan Tang, et al.
Cell Reports Physical Science (2022) Vol. 3, Iss. 7, pp. 100974-100974
Open Access | Times Cited: 14

Decoding Multiple Sound-Categories in the Auditory Cortex by Neural Networks: An fNIRS Study
So-Hyeon Yoo, Hendrik Santosa, Chang‐Seok Kim, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18

Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip
Wanying Gao, Chunyan Wang, Qiwei Li, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 11

Genomic sequence analysis of lung infections using artificial intelligence technique
R. Kumar, Fadi Al‐Turjman, L. Anand, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 192-200
Closed Access | Times Cited: 10

Global Scientific Trends in Organoids from 2004 to 2023: A Data Bibliometric and Visualized Analysis
Min Zhao, Liangju Kuang, Haoxin Guo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Artificial Intelligence in tissue and organ regeneration: An introduction
Willi Paul, Chandra P. Sharma
Elsevier eBooks (2023), pp. 3-13
Closed Access

Automatic Detection of Depression from Stratified Samples of Audio Data
Pongpak Manoret, Punnatorn Chotipurk, Sompoom Sunpaweravong, et al.
arXiv (Cornell University) (2021)
Closed Access

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