Items where Author is "Chen, Yun-Hsuan"
Up a level
Help
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Help
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
C
Chai, C., Wang, K., Chen, L., Zhang, J., Mao, Y., Ren, X., Li, Z., Jin, F., Chen, Y.-H., Lei, L., & Sawan, M. (2026). Water-sensitive photoacoustic temperature characterization at 960 nm in cerebral vascular phantoms with CT co-registration. Photoacoustics, 51, 100862 (11 pages). External link
Chai, C., Yang, X., Zheng, Y., Bin Heyat, M. B., Li, Y., Yang, D.-B., Chen, Y.-H., & Sawan, M. (2025). Multimodal fusion of magnetoencephalography and photoacoustic imaging based on optical pump : trends for wearable and noninvasive brain–computer interface. Biosensors & Bioelectronics, 278, 117321 (17 pages). Available
Chai, C., Yang, X., Gao, X., Shi, J., Wang, X., Song, H., Chen, Y.-H., & Sawan, M. (2024). Enhancing photoacoustic imaging for lung diagnostics and BCI communication: simulation of cavity structures artifact generation and evaluation of noise reduction techniques. Frontiers in Bioengineering and Biotechnology, 12, 19 pages. Available
Chen, Y.-H., Liu, K., Gu, X., Zhang, Z., Yin, C., & Sawan, M. (2023, November). fNIRS Monitoring During Carotid Artery Stenting for Outcomes Prediction [Paper]. 11th International Conference on E-Health and Bioengineering (EHB-2023), Bucharest, Romania. Published in IFMBE proceedings. External link
Chen, Y.-H., Yang, J., Wu, H., Beier, K. T., & Sawan, M. (2023). Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction [Discussion or Letter]. Frontiers in Psychiatry, 14, 1085036 (23 pages). External link
Chen, Y.-H., Liu, K., Gu, X., Zhang, Z., Yin, C., & Sawan, M. (2023, April). fNIRS Monitoring During Mechanical Thrombectomy for Outcomes Prediction [Paper]. 7th International Conference on Biomedical Engineering and Applications (ICBEA 2023), Hangzhou, China. External link
Chen, Y.-H., & Sawan, M. (2022). Monitoring Brain Activities Using fNIRS to Avoid Stroke. In El-Azazy, M., Al-Saad, K., & El-Shafie, A. S. (eds.), Infrared Spectroscopy - Perspectives and Applications . External link
Chen, Y.-H., & Sawan, M. (2021). Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction. Sensors, 21(2), 460-460. External link
G
Gu, X., Chen, Y.-H., Shao, A., Yin, C., Sawan, M., & Liu, K. (2026). Multi-channel functional near-infrared spectroscopy for real-time monitoring during carotid artery stenting: a case series. Frontiers in Neuroscience, 19, 8 pages. External link
Gao, X., Chen, Y.-H., Zeng, Z., Zheng, W., Chai, C., Wu, H., Zhu, Z., Yang, J., Zhong, L., Shen, H., & Sawan, M. (2025). Specific endophenotypes in EEG microstates for methamphetamine use disorder. Frontiers in Psychiatry, 15. Available
H
Heyat, M. B. B., Adhikari, D., Akhtar, F., Parveen, S., Zeeshan, H. M., Ullah, H., Chen, Y.-H., Wang, L., & Sawan, M. (2025). Intelligent internet of medical things for depression: current advancements, challenges, and trends. International Journal of Intelligent Systems, 2025, 6801530 (35 pages). Available
M
Marvi, F., Chen, Y.-H., & Sawan, M. (2024). Alzheimer's disease diagnosis in the preclinical stage: normal aging or dementia [Discussion or Letter]. IEEE Reviews in Biomedical Engineering, 18, 74-92. Available
Ming Yang, X., Chen, Y.-H., & Sawan, M. (2023). Photoacoustic Imaging for Human Brain Diseases. In Zeshan, F., & Ahmad, A. (eds.), Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems (pp. 1-32). External link
S
Su, Y., Rong, G., Bian, S., Wang, P., Li, L., Chen, Y.-H., Huang, C., Zhang, H., & Sawan, M. (2024). Dark‐Field Resonance Rayleigh Scattering Biosensor to Monitor Small Molecules and Determine the Secretory Ability of Single Neuron. Advanced Materials Technologies, 9(15), 2301701 (10 pages). External link
Sawan, M., Yang, J., Tarkhan, M., Chen, J., Wang, M., Wang, C., Xia, F., & Chen, Y.-H. (2021). Emerging Trends of Biomedical Circuits and Systems. Foundations and Trends® in Integrated Circuits and Systems, 1(4), 217-411. External link
Sawan, M., Yang, J., Tarkhan, M., Chen, J., Wang, M., Wang, C., Xia, F., & Chen, Y.-H. (2021). Emerging Trends of Biomedical Circuits and Systems. External link
W
Wang, C., Wu, D., Liao, Y., Zheng, W., Zeng, Z., Gao, X., Wu, H., Zhu, Z., Yang, J., Zhong, L., Cheng, W., Chen, Y.-H., & Sawan, M. (2026). NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis. IEEE Journal of Biomedical and Health Informatics, 13 pages. External link
Wang, F., Cao, F., Yang, J., An, N., Jiang, M., Zheng, S., Wang, Y., Xiang, M., Chai, C., Chen, Y.-H., & Sawan, M. (2026). Enhancing Individual Calibration Classification in SSVER-Based BCI With Exactly Periodic Component Analysis. IEEE Transactions on Industrial Informatics, 12 pages. External link
X
Xu, Y., Wang, J., Chen, Y.-H., Yang, J., Ming, W., Wang, S., & Sawan, M. (2024, September). VSViG: Real-Time Video-Based Seizure Detection via Skeleton-Based Spatiotemporal ViG [Paper]. European Conference on Computer Vision (ECCV 2024), Milan, Italy. Published in Lecture notes in computer science. External link
Y
Yang, X., Chai, C., Chen, Y.-H., & Sawan, M. (2025). Skull Impact on Photoacoustic Imaging of Multi-Layered Brain Tissues with Embedded Blood Vessel Under Different Optical Source Types: Modeling and Simulation. Bioengineering, 12(1), 40 (13 pages). Available
Yang, X., Chai, C., Chen, Y.-H., & Sawan, M. (2024). Optical transmission in single-layer brain tissues under different optical source types: modelling and simulation. Bioengineering, 11(9), 916 (14 pages). Available
Yang, X., Chai, C., Zuo, H., Chen, Y.-H., Shi, J., Ma, C., & Sawan, M. (2024). Monte Carlo-Based optical simulation of optical distribution in deep brain tissues using sixteen optical sources. Bioengineering, 11(3), 260 (17 pages). Available
Yang, J., Li, N., Chen, Y.-H., & Sawan, M. (2022, June). Towards Intelligent Noninvasive Closed-loop Neuromodulation Systems [Paper]. 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2022), Incheon, Republic of Korea. External link
Yang, X., Chen, Y.-H., Xia, F., & Sawan, M. (2021). Photoacoustic imaging for monitoring of stroke diseases: A review. Photoacoustics, 23, 100287-100287. External link
Z
Zhang, Z., Chen, S., Yang, Z., Emu, L., Wei, P., Jia, C., Liu, Y., Yan, W., Lu, Y., Huang, Y., Chai, C., Gao, X., Chen, Y.-H., Jiang, H., Jiang, Y., Wu, H., Hu, L., Sawan, M., Ding, Z., ... Jiang, H. (2026). Bistable haptic textiles for immersive somatosensory augmentation and sensory substitution. Nature Sensors. External link
Zeng, Z., Chen, Y.-H., Gao, X., Zheng, W., Wu, H., Zhu, Z., Yang, J., Wang, C., Zhong, L., Cheng, W., & Sawan, M. (2025). Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra. IEEE Sensors Journal, 12 pages. External link
Zheng, W., Chen, Y.-H., Wang, J., & Sawan, M. (2024, October). fNIRS-based Monitoring of Functional Brain Network during Image Guided Hand Movements [Paper]. IEEE Biomedical Circuits and Systems Conference (BioCAS 2024), Xi"an, China. External link
Zheng, W., Chen, Y.-H., & Sawan, M. (2022). Longitudinal Data to Enhance Dynamic Stroke Risk Prediction. Healthcare, 10(11), 2134 (24 pages). External link