| 论文著作 | [1] Shuting Yan, Jing He,   Shuangjiang Peng, Zehua Fang, Xilin Zhou*, Assessing the thermal risks for   residents and visitors in traditional Street-facing Dwellings with Eaves   Gallery during an extreme heatwave event, Building and Environment, Volume 251,   2024, 111233.(SCI, IF=7.4, 中科院1区) [2] S.T. Yan*, M.   Fujiyama, T. Ishida. Spatial characteristics analysis of Eaves Gallery along   the street in China: take Hubei, Bashu, Jiangzhe areas as examples. Journal   of Asian Architecture and Building Engineering (JAABE), Volume 18, page   324-334, 2019. (A&HCI; EI; SCI)  [3]晏舒婷,王晓,梁琦.湖北传统建筑要素的类型学研究——沿街檐廊与骑楼[J], 华中建筑, 2015(11):144-147. [4]周希霖,晏舒婷,郄恩田. 虚拟现实技术在电子商务的应用可能性研究[J]. 中国商论. 2015(10):52-53. [5]周希霖,郄恩田,晏舒婷. 基于本地化电子商务的大学城商圈发展策略分析[J]. 中国商贸, 2015(2): 48-49. [6] S.T. Yan*, M.   Fujiyama, T. Ishida. Obstacles and Opportunities for Characteristic Town   Development in Central China Area: Hubei Province Case Study. 12th   International Association for China Planning Conference (12th IACP), page   1–16, Xi’an, China, 2018.  [7] S.T. Yan*, M.   Fujiyama, T. Ishida. The Comparison Study Between China and Japan on Renewal   and Protection of Traditional Dwelling: From the Eaves Gallery of China to   Gangi-dori of Japan.12thInternational Symposium on Architectural Interchanges   in Asia (12th ISAIA). H4-5, page762–767, October 23–26, Korea, 2018.  [8] S.T. Yan*, M.   Fujiyama, T. Ishida. The Distribution and Spatial Characteristics of the   Eaves Gallery Street in China. Summaries of Technical Papers of Annual   Meeting in Architectural Institute of Japan (AIJ), page 847–848, Sendai,   Japan, 2018.  [9] Y.Q. Xie*, W. Hu,   S.T. Yan, X.L. Zhou. Study on the spatial evolution of the urban space around   the stations of high speed railway: A case of Tokaido Shinkansen. Summaries   of Technical Papers of Annual Meeting in Architectural Institute of Japan   (AIJ), page 1125–1126, Sendai, Japan, 2018.  [10] S.T. Yan*, M.   Fujiyama, T. Ishida. The Spatial Functional Characteristic of the Eaves   Gallery Street in China: Take Hubei, Bashu, Jiangzhe Areas as Example.   Summaries of Technical Papers of Annual Meeting in Architectural Institute of   Japan (AIJ), page 127–128, Nonoichi, Japan, 2019.  [11] S.T. Yan*, M.   Fujiyama, T. Ishida. The Study on Comparison the Spatial Characteristics of   Gangi street of Japan and Eaves Gallery street of China. Summaries of   Technical Papers of Annual Meeting in Architectural Institute of Japan (AIJ),   page 621–622, Chiba, Japan, 2020.  [12] X.L. Zhou*, S.T.   Yan, Z. Wang, E. Chiba. A Comparison study on the WRF performances using   urban canopy parameters from GIS data and WUDAPT L0 data. Summaries of   Technical Papers of Annual Meeting in Architectural Institute of Japan (AIJ),   page 195–196, Chiba, Japan, 2020.  [13] S.T. Yan*, M.   Fujiyama, T. Ishida. Post Evaluation on the Living Condition of Dwellers in   Gangi street of Japan and Eaves Gallery street of China based on Observation   and Questionnaire Survey. Summaries of Technical Papers of Annual Meeting in   Architectural Institute of Japan (AIJ), Tokai, Japan, 2021.  [14] Zhou, X.*;   Yamamoto, M.; Yan, S.; Ishida, Y.; Ji, Q.; Makvandi, M.; Li, C. (2022)   Exploring the impacts of heat release of vehicles on urban heat mitigation in   Sendai, Japan using WRF model integrated with urban LCZ, Sustainable   Cities and Society, 2022, 82,103922. (SCIE/EI, IF=10.696; JCR分区Q1) [15] Yan, S.*,   Fujiyama, M.; Ishida, T.; Zhou, X. (2021) Obstacles and Opportunities for   Characteristic Town Development in Central China Area: Hubei Province Case   Study[M]. In: Li W., Hu L., Cao J. (eds) Human-Centered Urban Planning and   Design in China: Volume I. GeoJournal Library, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-83856-0_15 [16] Hu, W.; Xie, Y.*;   Yan, S.; Zhou, X.; Li, C. (2022). The Reshaping of Neighboring Social   Networks after Poverty Alleviation Relocation in Rural China: A Two-Year   Observation. Sustainability, 14(8), 4607. https://doi.org/10.3390/su14084607 [17] Xie, Y.; Hu, W.*;   Zhou, X.; Yan, S.; Li, C. (2022). Artificial Neural Network Modeling for   Predicting and Evaluating the Mean Radiant Temperature around Buildings on   Hot Summer Days. Buildings, 12(5), 513. https://doi.org/10.3390/buildings12050513. [18] Li, Y.; Jiang,   G.; Yan, S.*; Feng, J.; Li, D. Performance and Mechanism of High-Viscosity   and High-Elasticity Bitumen (HVE-MB) Modified with Five Additives. Sustainability, 2023, 15,   14089. |