Publication By Research Areas

Remote Sensing

1.  Zhaohui Wang, “A Wavelet-Feature Correlation-Based Greedy Clustering Framework for Unsupervised Hyperspectral and Multispectral Remote Sensing Classification,” Applied Sciences (in review).

2. Zhaohui Wang, “Exploiting Residue Redundancy via Multi-Level Clustering for Lossless Hyperspectral Image Compression,” Applied Sciences (in review). DOI: https://doi.org/10.20944/preprints202607.1852.v1

3.  Zhaohui Wang, “An Entropy-Guided Residual Clustering Framework for Lossless Compression of Hyperspectral Images,” Applied Sciences (accepted). https://doi.org/10.20944/preprints202607.0050.v1

4. Zhaohui Wang, “Integer Wavelet Transformation Enhanced Multi-level Clustering Lossless Compression Algorithm for Remotely Sensed Images,” 2025 CSCI Conference, 2025.

5. Zhaohui Wang, “Unsupervised Wavelet-Feature Correlation Ratio Markov Clustering Algorithm for Remotely Sensed Images,” Applied Sciences, vol. 14, no. 767, 2024.

6. Zhaohui Wang, “Fast and Unsupervised Wavelet-Feature Correlation Ratio Markov Clustering Algorithm Based on Simulated Annealing for Remote Sensing Identification,” Prime Archives in Applied Sciences, 2nd Edition, 2024.

7. Zhaohui Wang, “Wavelet-Feature Greedy Clustering for Remote Sensing Identification,” 2023 CSCI Conference, 2023.

8. Zhaohui Wang, “Entropy Analysis for Clustering Based Lossless Compression of Remotely Sensed Images,” 2021 IEEE Big Data Conference, 2021.

9. Zhaohui Wang, “Unsupervised Wavelet-Feature Markov Clustering Algorithm for Remotely Sensed Images,” 2020 IEEE International Symp. on Signal Processing and Information Tech., 2020.

10. Zhaohui Wang, “Residual clustering based lossless compression for remotely sensed images,” 2018 IEEE International Symposium on Signal Processing and Information Technology, 2018, pp.536-539.

11. Zhaohui Wang, “Fast multi-level clustering lossless compression algorithm for remotely sensed images,” Journal of Image and Graphics, vol. 8, no. 7, pp. 843-848, 2003. 

12. Zhaohui Wang and Peiling Zhou, “Fast clustering lossless compression algorithm for hyperspectral images,” Journal of Remote Sensing, vol. 7, no. 5, pp. 400-406, 2003.

13. Zhaohui Wang and Peiling Zhou, “Greedy clustering algorithm and its application for the classification and compression of remotely sensed images,” Jounal of University of Science and Technology of China, vol. 33, no. 1, pp. 52-59, 2003. 

14. Zhaohui Wang and Peiling Zhou, “Fast clustering based on spectral wavelet features extraction and simulated annealing algorithm for multispectral Images,” Journal of Image and Graphics, vol. 7A, no. 12, pp. 1257-1262, 2002. 

15. Peiling Zhou and Zhaohui Wang, “Wavelet features extraction and Markov clustering algorithm for remotely sensed images,” Journal of Data Acquisition & Processing, vol. 18, no. 1, pp. 1-6, 2003. 

16. Peiling Zhou, Tao Xiao-li, Fu Zhong-qian, and Zhaohui Wang, “Disaster elements prediction with RBF network based on GA,” Computer Applications, vol. 21, no. 1, pp. 7-9, 2001.

Fuel Cell

1. Sajid Bashir, Li, C., Huang, Y., Palakurthi, S., Zhaohui Wang, ... & Liu, J. "Wet-chemistry-derived nanomaterials and their multidisciplinary applications," Nanochemistry: From Theory to Application for In-Depth Understanding of Nanomaterials, 133-237, 2022. 

2. Sajid Bashir, Shawn P. Mulvaney, William Houf, Luis Villanueva, Zhaohui Wang, Gregory Buck, Jingbo Louise Liu,"Microbial Fuel Cells: Design and Evaluation of Catalysts and Device," Advances in Sustainable Energy - Policy, Materials and Devices, Springer Nature Switzerland AG, 681-764, 2021.

3. Zhaohui Wang, “Modeling analysis for species, pressure, and temperature regulation in proton exchange membrane fuel cells,” Chapter 9, in “Nanostructured Materials for Next-Generation Energy Storage and Conversion: Fuel Cells” by F. Li, S. Bashir, J. Liu, Springer-Verlag GmbH Germany, pp. 249-280, 2018 (ISBN: 978-3-662-56363-2).

4. Rongfei Qi, Zhaohui  Wang, Itohan C  Agbonkina, Hongtao  Xue, Fengjuan  Si, Shengling  Ma, Xiaoka  Wang, “Passivation effect of Cl, F and H atoms on CuIn0.75Ga0.25Se2 (112) surface,” Applied Surface Science, vol. 442, pp. 650-657, 2018.

Bioelectricity Ultrasound Imaging

1. Zhaohui Wang, Rajab Challoo, Hu Peng, Chung S. Leung, and Russell S. Witte, “Complementary detection of multiple electrical sources in tissue using acoustoelectric effect,” Ultrasound in Medicine and Biology, vol. 42, no. 9, pp. 2323-2333, 2016.

2. Zhaohui Wang, Wei-Da Hao, Chung S. Leung, Sung-won Park, “Polarity detection in ultrasound current source density imaging,” in Proc. Annu. Int. IEEE-EMBS Conf., vol. 38, pp.1095-1098, 2016.

3. Zhaohui Wang and Russell S. Witte, “Simulation based validation for four dimensional multi-channel ultrasound current source density imaging,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 61, no. 3, pp. 420-427, 2014. 

4. Zhaohui Wang, Ragnar Olafsson, Pier Ingram, Qian Li, Yexian Yin, and Russell S. Witte, “Four-dimensional ultrasound current source density imaging of a dipole field,” Applied Physics Letters, vol. 99, art. no. 113701, 2011. (impact factor: 3.844), selected for the September 15, 2011 issue of Virtual Journal of Biological Physics Research. 

5. Zhaohui Wang, Ragnar Olafsson, Pier Ingram, Qian Li, Russell S. Witte, “Multichannel ultrasound current source density imaging of a 3-D dipole field,” IEEE Ultrasonics Symposium Proceedings, 2010, pp. 253-256. 

6. Zhaohui Wang, Ingram, P., Olafsson, R., Li, Q., and Witte, R.S., “Detection of multiple electrical sources in tissue using ultrasound current source density imaging,” Proceedings of SPIE, vol. 7629, art. no. 76290H, 2010.

7. Yexian Qin, Zhaohui Wang, Pier Ingram, Qian Li, and Russell Witte, “Optimizing frequency and pulse shape for ultrasound current source density imaging,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 59, no. 10, pp. 2149-2155, 2012. 

8. Qian Li, Ragnar Olafsson, Pier Ingram, Zhaohui Wang, and Russell Witte, “Measuring the acoustoelectric interaction constant using ultrasound current source density imaging,” Phys. Med. Biol., vol. 57, pp. 5929-5941, 2012. 

9. Yexian Qin, Zhaohui Wang, Pier Ingram, Qian Li, Russell Witte, “Optimizing frequency and pulse shape for ultrasound current source density imaging,” IEEE Ultrasonics Symposium Proceedings, 2011, pp. 2138-2141.

10. Qian Li, Yexian Qin, Zhaohui Wang, Pier Ingram, Russell Witte, “Ultrasound current source density imaging using a clinical intracardiac catheter,” IEEE Ultrasonics Symposium Proceedings, 2011, pp. 704-707.

11. Qian Li, Ragnar Olafsson, Pier Ingram, Zhaohui Wang, Russell S. Witte, “Measuring the acoustoelectric interaction constant in cardiac tissue using ultrasound current source density imaging,” IEEE Ultrasonics Symposium Proceedings, 2010, pp. 245-248.

12. Ragnar Olafsson, Qian Li, Zhaohui Wang, Pier Ingram, and Russell S. Witte, “Ultrasound current source density imaging of a time-varying current field in a multielectrode nerve chamber,” IEEE International Ultrasonics Symposium Proceedings, 2009, pp. 333-336.

MEMS

1. Zhaohui Wang, Pier Ingram, Ragnar Olafsson, Charles L. Greenlee, Robert A. Norwood, and Russell S. Witte, “Design considerations and performance of MEMS acoustoelectric ultrasound detector,” IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control, vol. 60, no. 9, pp. 1906-1916, 2013. 

2. Zhaohui Wang, Ingram, C.P., Olafsson, R., Greenlee, C., Norwood, R., and Witte, R.S., “Simulation-based optimization of the acoustoelectric hydrophone for mapping an ultrasound beam,” Proceedings of SPIE, vol. 7629, art. no. 76290Q, 2010. 

3. Ingram, P., Greenlee, C., Zhaohui Wang, Olafsson, R., Norwood, R., Witte, R.S., “Fabrication and characterization of an indium tin oxide acoustoelectric hydrophone,” Proceedings of SPIE, vol. 7629, art. no. 76290O, 2010.

Photoacoustics

1. Zhaohui Wang, Seung-Han Ha, and Kang Kim, “A new design of light illumination scheme for deep tissue photoacoustic imaging,” Optics Express, vol. 20, no. 20, pp. 22649-22659, 2012. (impact factor:3.753), selected by the Virtual Journal for Biomedical Optics (VJBO) 

2. Zhaohui Wang, Seung-Han Ha, Kang Kim, “Evaluation of finite element based simulation model of photoacoustics in biological tissues,” Proceedings of SPIE, vol. 8320, art. no. 83201L, 2012.

3. Zhaohui Wang, Seung-Han Ha, Kang Kim, “Photoacoustic design parameter optimization for deep tissue imaging by numerical simulation,” Proceedings of SPIE, vol. 8223, art. no. 822346, 2012.

Biosensor

1. Zhaohui Wang, Pak Kin Wong, “Development of DNA pair biosensor for quantization of nuclear factor Kappa B,” Biosensors, vol. 8(4), 126, 2018.

2. Zhaohui Wang, V. Gidwani, D. D. Zhang, and P. K. Wong, “Separation-free detection of nuclear factor kappa B with double-stranded molecular probes,” Analyst, vol. 133, pp. 998-1000, 2008.

3. Zhaohui Wang, V. Gidwani, Z. Sun, D. D. Zhang, and P. K. Wong, “Development of a molecular assay for rapid screening of chemopreventive compounds targeting Nrf2,” Journal of the Association for Laboratory Automation, vol. 13, pp. 243-248, 2008.

4. D. Meserve, Zhaohui Wang, D. D. Zhang, and P. K. Wong, “A double-stranded molecular probe for homogeneous nucleic acid analysis,” Analyst, vol. 133, pp. 1313-1319, 2008. 

Ultrasound High Frame Rate Imaging and Doppler Imaging

1. Zhaohui Wang, “Resolution, Sidelobe, and Contrast Analysis of Ultrasound Fourier Based High Frame Rate Imaging,” 2020 IEEE International Symposium on Signal Processing and Information Technology, 2020.

2. Zhaohui Wang, “Contrast-resolution Evaluation of Fourier Based High Frame Rate Imaging,” 2020 IEEE Big Data Conference, 2020.

3. Zhaohui Wang, Santosh T. Prakash, “Three-dimensional ultrasound Doppler simulation for vascular bifurcation model,” 2018 IEEE International Symposium on Signal Processing and Information Technology, 2018, pp. 532-535.

4. Jian-yu Lu, Zhaohui Wang, and Sung-Jae Kwon, “Blood flow velocity vector imaging with high frame rate imaging methods,” IEEE Ultrasonics Symposium Proceedings, 2006, pp. 963-966. 

Internet of Things/Communication

1. Zhaohui Wang and Peiling Zhou, “Multimedia real-time transfer and synthetic synchronization,” Application Research of Computers, vol. 18, no. 9, pp. 118-120, 2001.

1. Biomedical Applications of Acoustoelectric Effect 

2. Development of a Molecular Assay for Rapid Detection of Nuclear Factor Kappa B 

3. Contrast-Detail Study of High Frame Rate Imaging with Developed Software Tools

4. Identification and Compression Algorithm Research for Remotely Sensed Images 

5. New Methods for the Prevention and Removing of Computer virus