Jingxin Yu

714 total citations
32 papers, 472 citations indexed

About

Jingxin Yu is a scholar working on Plant Science, Soil Science and Global and Planetary Change. According to data from OpenAlex, Jingxin Yu has authored 32 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Soil Science and 9 papers in Global and Planetary Change. Recurrent topics in Jingxin Yu's work include Plant Water Relations and Carbon Dynamics (9 papers), Irrigation Practices and Water Management (8 papers) and Greenhouse Technology and Climate Control (7 papers). Jingxin Yu is often cited by papers focused on Plant Water Relations and Carbon Dynamics (9 papers), Irrigation Practices and Water Management (8 papers) and Greenhouse Technology and Climate Control (7 papers). Jingxin Yu collaborates with scholars based in China, Canada and Netherlands. Jingxin Yu's co-authors include Lili Zhangzhong, Linlin Xu, Xin Zhang, Jing Dong, Wengang Zheng, Xun Jian, Yangqiu Song, Fanyu Meng, Jing Li and Alexander Wong and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Annals of Oncology.

In The Last Decade

Jingxin Yu

27 papers receiving 457 citations

Peers

Jingxin Yu
Imane Sebari Morocco
Guoqing Lei China
Cihan Mert Georgia
Haitao Tang China
Namal Rathnayake Japan
P. Mallikarjuna India
Vijay Singh India
José Emilio Meroño de Larriva Spain
Osmar Luiz Ferreira de Carvalho Brazil
Anesmar Olino de Albuquerque Brazil
Imane Sebari Morocco
Jingxin Yu
Citations per year, relative to Jingxin Yu Jingxin Yu (= 1×) peers Imane Sebari

Countries citing papers authored by Jingxin Yu

Since Specialization
Citations

This map shows the geographic impact of Jingxin Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingxin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxin Yu more than expected).

Fields of papers citing papers by Jingxin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingxin Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingxin Yu. The network helps show where Jingxin Yu may publish in the future.

Co-authorship network of co-authors of Jingxin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingxin Yu. A scholar is included among the top collaborators of Jingxin Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingxin Yu. Jingxin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Yu, Jingxin, et al.. (2025). Deep learning for intelligent irrigation decision-making: A review. Agricultural Water Management. 320. 109836–109836.
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Yu, Jingxin, et al.. (2025). Prediction and control of greenhouse temperature: Methods, applications, and future directions. Computers and Electronics in Agriculture. 237. 110603–110603. 2 indexed citations
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Zheng, Wengang, et al.. (2024). GRU–Transformer: A Novel Hybrid Model for Predicting Soil Moisture Content in Root Zones. Agronomy. 14(3). 432–432. 18 indexed citations
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Yu, Jingxin, et al.. (2024). A dual deep learning approach for winter temperature prediction in solar greenhouses in Northern China. Computers and Electronics in Agriculture. 229. 109807–109807. 5 indexed citations
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Yu, Jingxin, et al.. (2023). Ensemble Learning Simulation Method for Hydraulic Characteristic Parameters of Emitters Driven by Limited Data. Agronomy. 13(4). 986–986. 13 indexed citations
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Huang, Yuan, et al.. (2023). Interaction of the Coupled Effects of Irrigation Mode and Nitrogen Fertilizer Format on Tomato Production. Water. 15(8). 1546–1546. 5 indexed citations
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Zheng, Wengang, et al.. (2023). A Hybrid Approach for Soil Total Nitrogen Anomaly Detection Integrating Machine Learning and Spatial Statistics. Agronomy. 13(11). 2669–2669. 7 indexed citations
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Huang, Yuan, et al.. (2022). Water Demand Pattern and Irrigation Decision-Making Support Model for Drip-Irrigated Tomato Crop in a Solar Greenhouse. Agronomy. 12(7). 1668–1668. 8 indexed citations
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Yu, Jingxin, Wengang Zheng, Linlin Xu, et al.. (2022). TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates. Journal of Hydrology. 613. 128465–128465. 45 indexed citations
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Yu, Jingxin, Song Tang, Lili Zhangzhong, et al.. (2020). A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period. IEEE Access. 8. 199097–199110. 37 indexed citations
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Wang, Xin, et al.. (2020). Improved Touch-screen Inputting Using Sequence-level Prediction Generation. 3077–3083. 5 indexed citations
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Zhang, Fujie, et al.. (2020). Spatiotemporal Distribution Characteristics of Reference Evapotranspiration in Shandong Province from 1980 to 2019. Water. 12(12). 3495–3495. 10 indexed citations
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Yu, Jingxin, Xin Zhang, Linlin Xu, Jing Dong, & Lili Zhangzhong. (2020). A hybrid CNN-GRU model for predicting soil moisture in maize root zone. Agricultural Water Management. 245. 106649–106649. 117 indexed citations
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Yu, Jingxin, et al.. (2017). Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 286–291. 76 indexed citations
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Wang, Tao, Zefei Jiang, Santai Song, et al.. (2004). [Herceptin as a single agent in patients with HER2 overexpressing metastatic breast cancer].. PubMed. 26(7). 430–2. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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