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Dive into the research topics where Shan Shan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A single modality apparent first impression personality recognition model with temporal emotion based LSTM
Wang, J., Li, H., Woo, W. L. & Shan, S., 1 Jan 2025, In: Expert Systems with Applications. 259, p. 1-11 11 p., 125114.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)64 Downloads (Pure) -
Text Mining and Topic Modelling
Li, Y., Shan, S. & Lin, Z., 14 Dec 2023, Researching and Analysing Business: Research Methods in Practice. Foroudi, P. & Dennis, C. (eds.). 1st ed. London: Routledge, 15 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open AccessFile19 Citations (Scopus)20 Downloads (Pure) -
Accurate disease detection quantification of iris based retinal images using random implication image classifier technique
Wang, Y. & Shan, S., 1 Feb 2021, In: Microprocessors and Microsystems. 80, 11 p., 103350.Research output: Contribution to journal › Article › peer-review
17 Citations (Scopus) -
Analyzing Chinese Customers’ Switching Intention of Smartphone Brands: Integrating the Push-Pull-Mooring Framework
Guo, J., Shan, S., Wang, Y. & Khan, Y. A., 10 Mar 2021, In: Discrete Dynamics in Nature and Society. 2021, p. 1-14 14 p., 6660340.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Citations (Scopus)42 Downloads (Pure) -
Role of green technology innovation and renewable energy in carbon neutrality: A sustainable investigation from Turkey
Shan, S., Genç, S. Y., Kamran, H. W. & Dinca, G., 15 Sept 2021, In: Journal of Environmental Management. 294, 11 p., 113004.Research output: Contribution to journal › Article › peer-review
Open AccessFile530 Citations (Scopus)118 Downloads (Pure)
Thesis
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China's energy security: the strategic value of co-opetition and the heritage of Hehe culture
Shan, S. (Author), Shaw, K. (Supervisor) & Haack, K. (Supervisor), 1 Dec 2015Student thesis: Doctoral Thesis
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A machine learning approach to solve the complete cold start problem in recommendation systems: building the P2P energy trading recommendation system with theory of consumption values
Shan, S. (Author), Yang, L. (Supervisor), Lin, Z. (Supervisor) & Li, H. (Supervisor), 1 May 2022Student thesis: Doctoral Thesis
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