本人具有多学科教育背景，本硕博所学专业方向分别是农业资源与环境、历史地理学环境变迁方向、自然地理学环境演变方向。致力于以历史文献为核心并结合多源资料，通过多学科的方法开展环境变迁研究，具体研究对象包括土地、河流、湖泊、聚落、景观、气候、灾害等。研究涉及长江中下游平原、黄土高原、新疆等地多个区域。以第一作者身份在Applied Geography、Journal of Historical Geography和《地理科学》等国内外高水平期刊发表论文若干篇，另有合作论文多篇。主持国家自然科学基金青年项目、中国博士后科学基金面上资助等项目多项，参与国家重点研发计划、国家自然科学基金等项目多项。

参与历史自然地理学、历史河湖变迁等课程的教学工作

代表性论著
[1]Li Yikai, Ye Yu, Fang Xiuqi, Zheng Xue, Zhao Zhilong. Settlement expansion influenced by socio-cultural changes in western Hunan mountainous areas of China during the eighteenth century [J]. Journal of Historical Geography, 2022, 78：22-34. https://doi.org/10.1016/j.jhg.2022.07.010
[2]Li Yikai, Ye Yu, Fang Xiuqi, Liu Yachen. Reconstruction of agriculture-driven deforestation in western Hunan Province of China during the 18th century [J]. Land, 2022, 11(2): 181. https://doi.org/10.3390/land11020181
[3]Li YK, Ye Y, Li J, Zhang CP, Fang XQ. Reconstructing the spatiotemporal distribution of polders in modern Dongting Plain, Hunan Province [J]. Applied Geography, 2020, 123: 102250. https://doi.org/10.1016/j.apgeog.2020.102250
[4]Li YK, Ye Y, Fang XQ, Zhang CP, Zhao ZL. Loss of wetlands due to the expansion of polder in the Dongting Plain, China, AD 1368–1980 [J]. The Holocene, 2020, 30(5): 646–656. https://doi.org/10.1177/09596836198955
[5]Li YK, Ye Y, Zhang CP, Li J, Fang XQ. A spatially explicit reconstruction of cropland based on expansion of polders in the Dongting Plain in China during 1750-1985 [J]. Regional Environmental Change, 2019, 19(8): 2507–2519. https://doi.org/10.1007/s10113-019-01575-8
[6]李屹凯, 张莉, 叶瑜, 陆昱君. 1876～1878年西北地区中西部干旱事件研究[J]. 地理科学, 2018, 38(5): 780-789. https://doi.org/10.13249/j.cnki.sgs.2018.05.016
[7]李屹凯, 张莉. 1761-1780年极端气候事件影响下的天山北麓移民活动研究[J]. 陕西师范大学学报: 自然科学版, 2015, 43(5): 84-89. https://doi.org/10.15983/j.cnki.jsnu.2015.05.452
[8]李屹凯, 张莉,安玲,杨越. 历史文献记载的1757-1774年天山北麓东部地区温度升高[J]. 古地理学报, 2015, 17(5): 709-717. https://doi.org/10.7605/gdlxb.2015.05.059
[9]Zheng, X., Fang, X., Ye, Y., Pongratz, J., Zhang, C., Li, J., Yang, L. E., Li, Y., Eckmeier, E. Reconstruction of historical forest cover on a 1° grid in central and southeast Europe from AD 1800 to 2000[J]. The Holocene, 2022, 32(10), 1052–1064. https://doi.org/10.1177/09596836221106963
[10]Chengpeng Zhang, Xiuqi Fang, Yu Ye, Chanchan Tang, Zhilei Wu, Xue Zheng, Diyang Zhang, Chang Jiang, Jun Li, Yikai Li, Zhilong Zhao. A spatially explicit reconstruction of cropland cover in China around 1850 C.E. employing new land suitability based gridded allocation algorithm [J]. Quaternary International, 2022, 641, 62-73. https://doi.org/10.1016/j.quaint.2022.06.001
[11]Shuang Song, Shuai Wang, Bojie Fu, Yanxu Liu, Kevin Wang, Yikai Li, Yaping Wang. Sediment transport under increasing anthropogenic stress: Regime shifts within the Yellow River, China [J]. AMBIO, 2020, https://doi.org/10.1007/s13280-020-01350-8.
[12]Wen YJ, Fang XQ, Liu Y, Li YK. Rising grain prices in response to phased climatic change during 1736–1850 in the North China Plain [J]. Science China-Earth Sciences, 2019, 62(11): 1832-1844. https://doi.org/10.1007/s11430-018-9431-y.
[13]Jia D, Li YK, Fang XQ. Complexity of factors influencing the spatiotemporal distribution of archaeological settlements in northeast China over the past millennium [J]. Quaternary Research, 2018, 89(2): 413-424. https://doi.org/10.1017/qua.2017.112.
[14]Ye Y, Wei XQ, Fang XQ, Li YK. Social Vulnerability Assessment by Mapping Population Density and Pressure on Cropland in Shandong Province in China during the 17th–20th Century [J]. Sustainability, 2017, 9(7):1171. https://doi.org/10.3390/su9071171.
[15]张莉, 陆昱君, 李屹凯. 灾害、气候与政治:光绪初年吐鲁番及其周边地区的蝗灾与应对[J]. 中国历史地理论丛, 2019, 34(2): 18-27.
[16]文彦君, 方修琦, 李屹凯, 萧凌波. 华北地区1876-1879年旱灾研究文献综述[J]. 灾害学, 2019, 34(1): 172-180. https://doi.org/10.3969/j.issn.1000-811X.2019.01.032.
[17]方修琦, 马亚玲, 李屹凯, 万金红, 叶瑜. 1917年海河流域洪涝灾害的社会响应过程[J]. 灾害学, 2017, 32(3): 1-6. https://doi.org/10.3969/jissn1000-811X2017.03.001.

主持项目：
[1]国家自然科学基金青年项目（42207513）；
[2]中国博士后科学基金第70批面上资助二等（2021M702060）；
[3]陕西省哲学社会科学重大理论与现实问题研究（2022ND0376）。

参与项目：
[1]科技部第三次新疆综合科学考察项目（2022xjkk0300）；
[2]教育部人文社会科学重点研究基地项目（22JJD770020，22JJD770055）
[3]国家重点研发计划项目（2017YFA0603304）；
[4]国家自然科学基金项目（41271159）。