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]沈雄,晏舒婷.基于土家族传统建筑特征的地方居住区建筑设计研究——以宣恩县贡水滨河居住区建筑设计为例[J].建筑与文化,2023(03):205-207.DOI:10.19875/j.cnki.jzywh.2023.03.064. [7] 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. [8] 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. [9] 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. [10] 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. [11] 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. [12] 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. [13] 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. [14] 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. [15] 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) [16] 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 [17] 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 [18] 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. [19] 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. |