![]() |
Liang Shang
|
Journals:
[24] Liang Shang, Fengzhen Tang, Chuanjun Liu, Bin Chen, Lianqing Liu, Kenshi Hayashi, Odorant molecular feature mining by diverse deep neural networks for prediction of odor perception categories bioRxiv, 488977, 2022. (Under review) [PDF]
[23] Liang Shang, Fengzhen Tang, Chuanjun Liu, Bin Chen, Lianqing Liu, Kenshi Hayashi, Machine-Learning-Based Olfactometry: Odor Descriptor Clustering Analysis for Olfactory Perception Prediction of Odorant Molecules, bioRxiv, 488973, 2022. (Under review) [PDF] [Data]
[22] Bin Chen, Hao Guo, Chuanjun Liu, Liang Shang, Xiao Ye, Lin Chen, Changhao Feng, Kenshi Hayash, AuNU dimers on ITO substrate with the highest refractive index sensitivity as chemical sensor, IEEE Sensors Journal, 2022. (SCI Q1, IF=3.301)
[21] Bin Chen, Hao Guo, Chuanjun Liu, Liang Shang, Xiao Ye, Lin Chen, Changhao Feng, Kenshi Hayash, Molecularly imprinted sol-gel/Au@ Ag core-shell nano-urchin localized surface plasmon resonance sensor designed in reflection mode for detection of organic acid vapors, Biosensors and Bioelectronics, vol. 169, pp. 112639, 2020. (SCI Q1, IF=10.257) [PDF]
[20] Bin Chen, Chuanjun Liu, Liang Shang, Hao Guo, Jiongming Qin, Lingpu Ge, Chun Ju Jing, Changhao Feng, Kenshi Hayashi, Electric-field enhancement of molecularly imprinted sol–gel-coated Au nano-urchin sensors for vapor detection of plant biomarkers, Journal of Materials Chemistry C, vol. 8, no. 1, pp. 262-269, 2020. (SCI Q1, IF=7.059) [PDF]
[19] Chuanjun Liu, Liang Shang, Kenshi Hayashi, Co-occurrence-based clustering of odor descriptors for predicting structure-odor relationship, 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), pp. 1-4, 2019. (EI)
[18] Shota Shimizu, Liang Shang, Fumihiro Sassa, Kenshi Hayashi, Multiplexed LSPR gas sensor with an arrayed molecularly imprinted Sol-Gel filter, 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), pp. 1-3, 2019. (EI)
[17] Bin Chen, Chuanjun Liu, Liang Shang, Ying Huang, Shaohua Yang, Xiaoyan Sun, Changhao Feng, Kenshi Hayashi, Electron transfer during binding processes between thiolate molecules and Au nano-islands, Applied Surface Science, vol. 473, pp. 49-54, 2019. (SCI Q1, IF=6.182) [PDF]
[16] Liang Shang, Chuanjun Liu, Bin Chen, Kenshi Hayashi, Plant biomarker recognition by molecular imprinting based localized surface plasmon resonance sensor array: Performance improvement by enhanced hotspot of au nanostructure, ACS sensors, vol. 3, no. 8, pp. 1531-1538, 2018. (SCI Q1, IF=7.333) [PDF] [SI]
[15] Chuanjun Liu, Liang Shang, Hiro-Taka Yoshioka, Bin Chen, Kenshi Hayashi, Preparation of molecularly imprinted polymer nanobeads for selective sensing of carboxylic acid vapors, Analytica chimica acta, vol. 1010, pp. 1-10, 2018. (SCI Q1, IF=5.977) [PDF]
[14] Liang Shang, Chuanjun Liu, Bin Chen, Kenshi Hayashi, Development of molecular imprinted sol-gel based LSPR sensor for detection of volatile cis-jasmone in plant, Sensors and Actuators B: Chemical, vol. 260, pp. 617-626, 2018. (SCI Q1, IF=7.1) [PDF]
[13] Liang Shang, Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi, Odorant clustering based on molecular parameter-feature extraction and imaging analysis of olfactory bulb odor maps, Sensors and Actuators B: Chemical, vol. 255, pp. 508-518, 2018. (SCI Q1, IF=7.1) [PDF]
[12] Liang Shang, Chuanjun Liu, Kenshi Hayashi, Localized surface plasmon resonance modified with molecularly imprinted sol-gel sensor for cis-jasmone vapor detection, 2017 IEEE Sensors, pp. 1-3, 2017. (EI)
[11] Liang Shang, Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi, Machine-learning-based olfactometer: prediction of odor perception from physicochemical features of odorant molecules, Analytical Chemistry, vol. 89, no. 22, pp. 11999-12005, 2017. (SCI Q1, IF=6.785) [PDF]
[10] Liang Shang, Chuanjun Liu, Masashi Watanabe, Bin Chen, Kenshi Hayashi, LSPR sensor array based on molecularly imprinted sol-gels for pattern recognition of volatile organic acids, Sensors and Actuators B: Chemical, vol. 249, pp. 14-21, 2017. (SCI Q1, IF=7.1) [PDF]
[9] Zhuanwei Wang, Chunjiang Zhao, Liang Shang, Fanrong Kong, Xiaofeng Weng, Nondestructive testing of muskmelons varieties based on dielectric spectrum technology, Transactions of the Chinese Society of Agricultural Engineering, vol. 33, no. 9, pp. 290-295, 2017. (EI)
[8] Haoyu Wang, Liang Shang, Hiro-Taka Yoshioka, Fumihiro Sassa, Kenshi Hayshi, Optical detection of plant biogenic volatile organic compounds with molecular recognizing fluorescent micro beads, IEICE Technical Report, vol. 116, no. 435, pp. 1–4, 2017.
[7] Liang Shang, Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi, Artificial odor cluster map of odorant molecular parameters and odor maps in rat olfactory bulbs, Chemical Sense, vol. 41, no. 9, pp. E212-E212, 2016. (SCI Q3, IF=2.261)
[6] Wenchuan Guo, Jingsi Gu, Dayang Liu, Liang Shang, Peach variety identification using near-infrared diffuse reflectance spectroscopy, Computers and Electronics in Agriculture, vol. 123, pp. 297-303, 2016. (SCI Q1, IF=3.85)
[5] Wenchuan Guo, Liang Shang, Xinhua Zhu, Stuart O Nelson, Nondestructive detection of soluble solids content of apples from dielectric spectra with ANN and chemometric methods, Food and Bioprocess Technology, vol. 8, no. 5, pp. 1126-1138, 2015. (SCI Q1, IF=3.20) [PDF]
[4] Liang Shang, Wenchuan Guo, Stuart O Nelson, Apple variety identification based on dielectric spectra and chemometric methods, Food Analytical Methods, vol. 8, no. 4, pp. 1042-1052, 2015. (SCI Q2, IF=2.47) [PDF]
[3] Minghai Wang, Wenchuan Guo, Liang Shang, Jingsi Gu, Nondestructive detection of soluble solids content for multiple peach fruits using near-infrared diffuse reflectance spectra, Journal of Northwest A & F University-Natural Science Edition, vol. 42, no. 2, pp. 142-148, 2014.
[2] Liang Shang, Jingsi Gu, Wenchuan Guo, Non-destructively detecting sugar content of nectarines based on dielectric properties and ANN, Transactions of the Chinese Society of Agricultural Engineering, vol. 29, no. 17, pp. 257-264, 2013. (EI) [PDF]
[1] WenChuan Guo, Liang Shang, MingHai Wang, XinHua Zhu, Soluble solids content detection of postharvest apples based on frequency spectrum of dielectric parameters, Transactions of the Chinese Society for Agricultural Machinery, vol. 44, no. 9, pp. 132-137, 2013. (EI) [PDF]
Conferences:
[7] Liang Shang, Liu Chuanjun, Kenshi Hayashi, High-performance Molecular Imprinted Sol-gel LSPR Array for Plant Volatile Organic Components Sensing, International Symposium on Organic Molecular Electronics (ISOME), Tosu, Japan, 2018. (EI, Oral) [Slides]
[6] Liang Shang, Liu Chuanjun, Kenshi Hayashi, Localized Surface Plasmon Resonance Modified with Molecularly Imprinted Sol-gel Sensor array for Plant Volatile Organic Compounds Detection, IEEE Sensors, Glasgow, UK, 2017. (EI, Oral) [Slides]
[5] Liang Shang, Liu Chuanjun, Kenshi Hayashi, Localized surface plasmon resonance gas sensor based on molecularly imprinted sol-gel for selective cis-jasmone vapor detection, 8th International Conference on Surface Plasmon Photonics (SSP8), Taipei, Taiwan, China, 2017. (Poster) [Poster]
[4] Liang Shang, Liu Chuanjun, Tomiura Yoichi, Kenshi Hayashi, Statistical clustering of odorant molecules based on both molecular profile feature extraction and olfactory bulb odor map imaging analysis, Digital Olfaction Society (DOS), Tokyo, Japan, 2016. (Poster) [Poster]
[3] Liang Shang, Liu Chuanjun, Kenshi Hayashi, LSPR sensor modified by molecularly imprinted sol-gel for selective organic acid vapor detection, The Japan Society of Applied Physics (JSAP), Tsushima, Japan, 2016. (Oral) [Slides]
[2] Liang Shang, Liu Chuanjun, Kenshi Hayashi, Molecularly imprinted sol-gel based LSPR sensor for selective fatty acid vapor detection, The International Meeting on Chemical Sensors (IMCS), Jeju Island, Korea, 2016. (Oral) [Slides]
[1] Liang Shang, Liu Chuanjun, Tomiura Yoichi, Kenshi Hayashi, Artificial odor cluster map of odorant molecular parameters and odor maps in rat olfactory bulbs, International Symposium on Olfaction and Taste (ISOT), Yokohama, Japan, 2016. (Poster) [Poster]
Patents:
[1] Kenshi Hayashi, Liang Shang, Tomiura Yoichi, Liu Chuanjun, Kanazawa Hiroshi, Smell representation prediction system and smell representation prediction categorizing method, JP2019060870A, Japan, 2017. [PDF]
Thesis:
[1] Liang Shang, Smell representation prediction system and smell representation prediction categorizing method, Ph.D Thesis, Kyushu University, Japan, 2018. [PDF | Slides]
[3] Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A) 15H01695, Advanced Sensing Technology for Supporting Next-generation Agriculture, 2015.4~2018.3, 407,919$, participate.
[2] Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A) 15H01695, Advanced Sensing Technology for Supporting Next-generation Agriculture, 2015.4~2018.3, 407,919$, participate. [Link]
[1] Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A) 15H01713, Visualization of Odor Quality and Space, 2015.4~2018.3, 407,919$, participate. [Link]
Membership:
Reviewer: