| A hybrid CNN-GRU model for predicting soil moisture in maize root zone J Yu, X Zhang, L Xu, J Dong, L Zhangzhong Agricultural Water Management 245, 106649, 2021 | 103 | 2021 |
| A PSO-XGBoost Model for Estimating Daily Reference Evapotranspiration in the Solar Greenhouse. J Yu, W Zheng, L Xu, L Zhangzhong, G Zhang, F Shan Intelligent Automation & Soft Computing 26 (5), 2020 | 27 | 2020 |
| A deep learning approach for multi-depth soil water content prediction in summer maize growth period J Yu, S Tang, L Zhangzhong, W Zheng, L Wang, A Wong, L Xu IEEE Access 8, 199097-199110, 2020 | 25 | 2020 |
| Data-driven calibration of soil moisture sensor considering impacts of temperature: A case study on FDR sensors L Chen, L Zhangzhong, W Zheng, JX Yu, Z Wang, L Wang, C Huang Sensors 19 (20), 4381, 2019 | 25 | 2019 |
| TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong Journal of Hydrology 613, 128465, 2022 | 24 | 2022 |
| Spatiotemporal distribution characteristics of reference evapotranspiration in Shandong province from 1980 to 2019 F Zhang, Z Liu, L Zhangzhong, J Yu, K Shi, L Yao Water 12 (12), 3495, 2020 | 9 | 2020 |
| Water demand pattern and irrigation decision-making support model for drip-irrigated tomato crop in a solar greenhouse S An, F Yang, Y Yang, Y Huang, L Zhangzhong, X Wei, J Yu Agronomy 12 (7), 1668, 2022 | 8 | 2022 |
| Spatiotemporal distribution characteristics and influencing factors analysis of reference evapotranspiration in Beijing–Tianjin–Hebei Region from 1990 to 2019 under climate change Z Liu, D Jing, Y Han, J Yu, T Lu, L Zhangzhong Sustainability 14 (10), 6277, 2022 | 8 | 2022 |
| Design and application of soil moisture content monitoring system based on cloud-native technology J Yu, S Du, Y Wu Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural …, 2020 | 7 | 2020 |
| Researches of soil normalized difference water index (NDWI) of yongding river based on multispectral remote sensing technology combined with genetic algorithm H Mao, Z Feng, Y Gong, J Yu Spectroscopy and Spectral Analysis 34 (6), 1649-1655, 2014 | 6 | 2014 |
| Evaluating the Hydrus-1D Model Optimized by Remote Sensing Data for Soil Moisture Simulations in the Maize Root Zone J Yu, Y Wu, L Xu, J Peng, G Chen, X Shen, R Lan, C Zhao, L Zhangzhong Remote Sensing 14 (23), 6079, 2022 | 5 | 2022 |
| 多光谱遥感技术结合遗传算法对永定河土壤归一化水体指数的研究 毛海颖， 冯仲科， 巩垠熙， 于景鑫 光谱学与光谱分析 34 (6), 1649-1655, 2014 | 5 | 2014 |
| Interaction of the coupled effects of irrigation mode and nitrogen fertilizer format on tomato production Y Huang, YR Yang, JX Yu, JX Huang, YF Kang, YR Du, GY Tian Water 15 (8), 1546, 2023 | 3 | 2023 |
| 中国主要树种通用二元材积模型与推导形数模型研究 程文生， 冯仲科， 于景鑫 农业机械学报 48 (3), 245-252, 2017 | 3 | 2017 |
| 基于 Mitscherlich 模型的华北落叶松人工林地位级表研究 高祥， 焦有权， 冯仲科， 于景鑫， 赵桂生 干旱区资源与环境 30 (3), 86r91, 2016 | 3 | 2016 |
| 哈尔滨师范大学校园导航系统设计与实现 于景鑫， 唐锦森， 曹龙， 祖淼， 张冬有 哈尔滨师范大学自然科学学报 28 (2), 54-56, 2012 | 3 | 2012 |
| Ensemble Learning Simulation Method for Hydraulic Characteristic Parameters of Emitters Driven by Limited Data J Yu, L Zhangzhong, R Lan, X Zhang, L Xu, J Li Agronomy 13 (4), 986, 2023 | 2 | 2023 |
| 基于 XGBoost 的土壤含水量传感器温度补偿模型研究 沈欣， 吴勇， 孟范玉， 张赓， 于景鑫， 史凯丽 节水灌溉 8, 13-18, 2021 | 2 | 2021 |
| 气候变化背景下东北地区春玉米生育期变化分析 淮贺举， 孙宁， 于景鑫， 李存军， 张骞， 王艾萌， 史磊刚 江苏农业科学 48 (5), 80-83, 2020 | 2 | 2020 |
| 京津冀玉米比较优势时空分布特征研究 陈琪， 杨再洁， 李奇峰， 刁兴良， 于景鑫， 张馨， 郑文刚， 史磊刚 安徽农业科学 46 (35), 4-8, 2018 | 2 | 2018 |
