1. 1. Yaokui Cui and Li Jia*, 2021, “Estimation of evapotranspiration of “soil-vegetation” system with a scheme combining a dual-source model and satellite data assimilation”, Journal of Hydrology, 603, 127145. (SCI, TOP)
2. 2. Yaokui Cui*, Li Jia, Wenjie Fan, 2021, “Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm” Agricultural And Forest Meteorology, 307, 108488. (SCI，Top)
3. 3. Yaokui Cui*, Lisheng Song*, Wenjie Fan, 2021 “Generation of spatio-temporally continuous evapotranspiration and its components by coupling a two-source energy balance model and a deep neural network over the Heihe River Basin”, Journal Of Hydrology, 597, 126176. (SCI，Top)
4. 4. Yaokui Cui*, Chao Zeng, Xi Chen, et al., 2021, “A New Fusion Algorithm for Simultaneously Improving Spatio-Temporal Continuity and Quality of Remotely Sensed Soil Moisture Over the Tibetan Plateau”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 83-91. (SCI，二区)
5. 5. Yaokui Cui*; Xuebin Yang; Xi Chen, et al., 2020, "A Two-Step Fusion Framework for Quality Improvement of a Remotely Sensed Soil Moisture Product: A Case Study for the ECV Product over the Tibetan Plateau." Journal Of Hydrology 587: 124993. (SCI, Top)
6. 6. Yaokui Cui*, Xi Chen, Wentao Xiong, et al., 2020, "A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and Grnn Model." Remote Sensing 12, no. 3: 455. (SCI)
7. 7. Yaokui Cui*; Shihao Ma; Zhaoyuan Yao, et al., 2020, "Developing a Gap-Filling Algorithm Using Dnn for the Ts-Vi Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China." Remote Sensing 12, no. 7. (SCI)
8. 8. Yaokui Cui*; Chao Zeng; Jie Zhou, et al., 2019, "A Spatio-Temporal Continuous Soil Moisture Dataset over the Tibet Plateau from 2002 to 2015." Scientific Data 6, no. 1: 247. (SCI)
9. 9. Yaokui Cui ; Xi Chen; Jinyu Gao, et al., 2018, “Global water cycle and remote sensing big data: overview, challenge, and opportunities”, Big Earth Data.12.4, 2(3): 282~297. (EI)
10. 10. Yaokui Cui, Peng Zhao, Binyan Yan, et al., 2017, "Development of the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at Very High Resolution：A Case Study in the Heihe River Basin", Remote Sensing. (SCI)
11. 11. Yaokui Cui, Di Long, Yang Hong, et al., 2016, “Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau,” Journal of Hydrology. (SCI).  
12. 12. Yaokui Cui, Li Jia, 2014, A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale, Water, 6(4): 993 – 1012, doi: 10.3390/w6040993. (SCI)
13. 13. Yaokui Cui, Li Jia, Guangcheng Hu, et al., 2015, "Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations," IEEE Geoscience and Remote Sensing Letters, 12(1): 23-27, doi: 10.1109/LGRS.2014.2324635. (SCI)
14. 14. Huan Li^#, Zengliang Luo^#, Yue Xu, Siyu Zhu, Xi Chen, Xiaozhuang Geng, Lei Xiao, Wei Wan*, Yaokui Cui*, 2021, “A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine”, Journal Of Hydrology, 603, 126934. (SCI，通讯，一区)
15. 15. Boyang Li, Yaokui Cui*, Xiaozhuang Geng et al., 2021, “Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model”, Remote Sensing, 13, 1516. (SCI，通讯，二区)
16. 16. Yahui Wang, Sien Li*, Yaokui Cui, et al., 2021, “Effect of Drip Irrigation on Soil Water Balance and Water Use Efficiency of Maize in Northwest China” Water, 13, 217. (SCI, 通讯)
17. 17. Ziqiang Ma, Xiao Tan, & Yaokui Cui*, 2018, The First Comparisons of IMERG and the Downscaled Results Based on IMERG in Hydrological Utility over the Ganjiang River Basin[J]. Water, 10(10). (SCI, 通讯)
18. 18. 胡玲，孙聪，范闻捷，刘海江，任华忠，崔要奎*, 2021, “二十年来防风固沙重点生态功能区植被动态分析”, 生态学报，41（21）.（通讯，中文核心）
19. 19. 崔要奎, 赵开广, 范闻捷, 徐希孺， 2011, “机载Lidar数据的农作物覆盖度及LAI反演”，遥感学报，15（6）：1282-1288.（中文核心）
20. 20. Xiangjin Meng#, Kebiao Mao#,*, Fei Meng, Jiancheng Shi, Jiangyuan Zeng, Xinyi Shen, Yaokui Cui, Lingmei Jiang, and Zhonghua Guo, 2021, “A fine-resolution soil moisture dataset for China in 2002–2018”, Earth System Science Data, 13, 3239-3261. (SCI)
21. 21. Long Qian, Lifeng Wu, Xiaogang Liu*, Jianhua Dong, Sien Li, Qiliang Yang & Yaokui Cui, 2021, “A study of the conversion of different evaporation pans in South China based on extreme learning machine model”, Hydrological Sciences Journal. (SCI)
22. 22. Ling Hu, Wenjie Fan, & Yaokui Cui, 2021, “Spatiotemporal variation of vegetation productivity and its feedback to climate change in northeast China over the last 30 years”, Remote Sensing, 13(5): 951. (SCI)
23. 23. Bo Gao, Huili Gong*, Jie Zhou, Tianxing Wang, Yuanyuan Liu and Yaokui Cui, 2020, “Reconstruction of Spatiotemporally Continuous MODIS-Band Reflectance in East and South Asia from 2012 to 2015”, Remote Sensing, 12(21), 3674. (SCI)
24. 24. Zengliang Luo, Quanxi Shao, Qiting Zuo* and Yaokui Cui, “Impact of land use and urbanization on river water quality and ecology in a dam dominated basin”, Journal of Hydrology, 2020, 584: 124655. (SCI)
25. 25. Xi Chen, Xinyi Shen, Huan Li, Yaokui Cui, Baojian Liu , Weizhen Fang, Qing Yang, and Yang Hong*, “Construct Channel Network Topology From Remote Sensing Images by Morphology and Graph Analysis”, IEEE Geoscience And Remote Sensing Letters, 2019, 2942107. (SCI)
26. 26. Bo Ma, Wenjie Fan, & YaokuiCui, 2018, Application of an LAI Inversion Algorithm Based on the Unified Model of Canopy Bidirectional Reflectance Distribution Function to the Heihe River Basin, Journal of Geophysical Research: Atmospheres. (SCI)
27. 27. Mingzhu Guo, Biao Cao, & Yaokui Cui, 2018, Scattering Effect Contributions to the Directional Canopy Emissivity and Brightness Temperature Based on CE-P and CBT-P Models, IEEE Geoscience and Remote Sensing Letter. (SCI)
28. 28. Ling Hu, Wenjie Fan, & Yaokui Cui, 2018, Spatiotemporal Dynamics in Vegetation GPP over the Great Khingan Mountains Using GLASS Products from 1982 to 2015[J]. Remote Sensing, 10(3):488. (SCI)
29. 29. Chao Zeng, Di Long, & Yaokui Cui, 2018, A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2018, 141:30-45. (SCI)
30. 30.  Wei Wan, Huan Li, hongjie xie, Yang Hong, Di Long, Limin Zhao, Zhongying Han, Yaokui Cui, et al., 2017, “A data set of lake surface water temperature over the Tibetan Plateau derived from MODIS LST products2001-2015”. (SCI)
31. 31. Guangyuan Kan, Guoqiang Tang, & Yaokui Cui, 2017, An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin, China[J]. Water, 2017, 9(12). (SCI)
32. 32. Wenjie Fan, Xiru Xu, Xiaochen Liu, Binyan Yan, Yaokui Cui, 2010, “Accurate LAI retrieval method based on PROBA/CHRIS data”, Hydrology and Earth System Sciences, 14: 1499-1507. doi:10.5194/hess-14-1499-2010. (SCI).
33. 33. 王焕炯, 范闻捷, 崔要奎, 周磊，闫彬彦等, 2010, “草原退化的高光谱遥感监测方法”,光谱学与光谱分析. (SCI).
34. 34.  吴代晖, 范闻捷, 崔要奎等, 2009, “高光谱遥感监测土壤含水量研究进展”,光谱学与光谱分析.  (SCI).

会议论文：

35. 35. Yaokui Cui; Xi Chen; Zengliang Luo, 2020, “Improving Soil Moisture Spatio-Temporal Resolution Using Machine Learning Method”. IGARSS 2020.
36. 36. Yaokui Cui; Wentao Xiong; Hu Ling et al., 2019, “Applying a Machine Learning Method to Obtain Long Time and Spatio-Temporal Continuous Soil Moisture over the Tibetan Plateau”. IGARSS 2019.  
37. 37. Yaokui Cui, Di Long, Yang Hong, et al., 2016. Evaluation of the FY-3B/MWRI Soil Moisture Product on the Centeral Tibetan Plateau. IGARSS 2016.
38. 38. Yaokui Cui, Kaiguang Zhao, Wenjie Fan, et al., 2010, “Using airborne Lidar to retrieve structural parameters of the cropland, IEEE IGARSS’2010, p 2107-2110.
39. 39.  崔要奎, 赵开广, 范闻捷, 徐希孺， 2010, “基于机载Lidar数据的农作物覆盖度反演”，2010国际遥感大会，杭州.
40. 40. Xi Chen, Wei Shen & Yaokui Cui, 2020, “Ship Navigation Route Planning Using Topology Of Sea Ice Channels Extracted From High Resolution Satellite Images”, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (EI)
41. 41. Xi Chen, Yaokui Cui, Changjun Wen et al., 2020, “Ship Navigation Route Planning Using Topology Of Sea Ice Channels Extracted From High Resolution Satellite Images”, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (EI)
42. 42. M. Guo, Biao Cao, & Yaokui Cui, 2018, "Evaluation the Contribution of Scattering Effect to the Directional Canopy Emissivity and Brightness Temperature Simulation Based on CE-P Model," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 5485-5488. (EI)
43. 43. Xi Chen, Jing Li, & Yaokui Cui, 2018, "Marine Sediment Mapping Using Multi-Source and Multi-Dimensional Acoustic Images Based on Evidential Fusion," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 4989-4992. (EI)
44. 44. Xueyan Hou, Qing Dong, Yang Hong, Di Long, Yaokui Cui, 2016. Coupled Patterns Between the Surface Chlorophyll-A and the Physical Factors in the Pacific Ocean. IGARSS 2016. （EI）
45. 45. Jinxin Yang, Li Jia, Yaokui Cui, et al., 2014, “Evaluation of a Linear Mixing Model to Retrieve Soil and Vegetation Temperatures of Land Targets”, IOP Conf. Ser.: Earth Environ. Sci. 17 012272.  (EI)
46. 46. Daihui Wu, Binyan Yan, Yaokui Cui, 2010, Retrieve soil moisture from mixed-pixels based on scale transformation using hyperspectral data ,IGAARSS’2010. (EI).
47. 47. Binyan Yan, Wenjie Fan, Xiru Xu, Xiaochen Liu, Yaokui Cui, 2010, “A physical model for LAI retrieval: Directional second derivative of canopy spectra”, Remote Sensing. International Society for Optics and Photonics, 2010: 78241K-78241K. doi:10.1117/12.866141. (EI)
48. 48. Huanjiong Wang, Lei Zhou, Binyan Yan, Yaokui Cui, et al., 2009, “The identification of indicator grass species of grassland degradation based on the field spectral characteristics”, IEEE IGARSS’ 2009. Doi: 10.1109/IGARSS.2009.5418290. (EI)

1. 1. 李彦宏奖学金；
2. 2. 中科院大学三好学生；
3. 3. 中科院遥感与数字地球研究所优秀毕业生。
4. 4. 首届中国数字地球大会“最佳青年报告奖”
5. 5. 省部级一等奖1项（排名第三）