Evolution, hotspots, and future directions of artificial intelligence in asthma research: a Web of Science-based bibliometric analysis [2016-2026].
- DOI
- 10.21037/jtd-2026-0804
- Published
- 2026 Jul 31
- Container
- Journal of thoracic disease
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.21037/jtd-2026-0804,
title = {Evolution, hotspots, and future directions of artificial intelligence in asthma research: a Web of Science-based bibliometric analysis [2016-2026].},
author = {You H and Zhu T and Liu C and Li S and Sun W},
year = {2026},
journal = {Journal of thoracic disease},
doi = {10.21037/jtd-2026-0804},
url = {https://doi.org/10.21037/jtd-2026-0804}
}RIS
TY - JOUR TI - Evolution, hotspots, and future directions of artificial intelligence in asthma research: a Web of Science-based bibliometric analysis [2016-2026]. AU - You H AU - Zhu T AU - Liu C AU - Li S AU - Sun W PY - 2026 JO - Journal of thoracic disease DO - 10.21037/jtd-2026-0804 UR - https://doi.org/10.21037/jtd-2026-0804 ER -
APA
H, Y., T, Z., C, L., S, L., & W, S. (2026). Evolution, hotspots, and future directions of artificial intelligence in asthma research: a Web of Science-based bibliometric analysis [2016-2026].. Journal of thoracic disease. https://doi.org/10.21037/jtd-2026-0804
Source records
- pubmed · retrieved 2026-09-26T00:30:46.413Z