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Word cloudA 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.
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. External link
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., & Sawan, M. (2021). Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction. Sensors, 21(2), 460-460. External link
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
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
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
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. 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
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
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, X., Chen, Y.-H., Xia, F., & Sawan, M. (2021). Photoacoustic imaging for monitoring of stroke diseases: A review. Photoacoustics, 23, 100287-100287. 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
