Jin Yu

753 total citations
35 papers, 495 citations indexed

About

Jin Yu is a scholar working on Computer Vision and Pattern Recognition, Ecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jin Yu has authored 35 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Ecology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jin Yu's work include Remote Sensing in Agriculture (7 papers), Digital Imaging for Blood Diseases (6 papers) and Glaucoma and retinal disorders (5 papers). Jin Yu is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Digital Imaging for Blood Diseases (6 papers) and Glaucoma and retinal disorders (5 papers). Jin Yu collaborates with scholars based in China, United States and Canada. Jin Yu's co-authors include Jingye Han, Qi Yang, Liangsheng Shi, Kai Huang, Kai Sun, Xufeng Yao, Yuanyuan Zha, Zhuowei Chen, Wenzhi Zeng and Syed Sibte Raza Abidi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, BMC Bioinformatics and Agricultural and Forest Meteorology.

In The Last Decade

Jin Yu

30 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Yu China 11 181 160 103 94 90 35 495
Sunil Kumar Jha India 6 130 0.7× 169 1.1× 87 0.8× 59 0.6× 89 1.0× 10 511
Mario Valerio Giuffrida United Kingdom 12 195 1.1× 331 2.1× 163 1.6× 64 0.7× 97 1.1× 28 708
Dimitris Stavrakoudis Greece 16 318 1.8× 101 0.6× 81 0.8× 198 2.1× 133 1.5× 56 753
Yun Shi China 16 242 1.3× 418 2.6× 145 1.4× 146 1.6× 35 0.4× 40 888
José Bessa Portugal 4 462 2.6× 282 1.8× 110 1.1× 293 3.1× 48 0.5× 6 1.0k
Dário Augusto Borges Oliveira Brazil 13 152 0.8× 67 0.4× 216 2.1× 67 0.7× 138 1.5× 57 820
Amol D. Vibhute India 12 161 0.9× 181 1.1× 39 0.4× 121 1.3× 101 1.1× 45 653
Vivien Sainte Fare Garnot Switzerland 8 193 1.1× 86 0.5× 68 0.7× 76 0.8× 39 0.4× 19 393
Laure Tougne France 13 106 0.6× 222 1.4× 198 1.9× 61 0.6× 33 0.4× 47 552
Yunyun Dong China 14 47 0.3× 93 0.6× 179 1.7× 41 0.4× 182 2.0× 36 715

Countries citing papers authored by Jin Yu

Since Specialization
Citations

This map shows the geographic impact of Jin 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 Jin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yu more than expected).

Fields of papers citing papers by Jin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin 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 Jin Yu. The network helps show where Jin Yu may publish in the future.

Co-authorship network of co-authors of Jin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Yu. A scholar is included among the top collaborators of Jin 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 Jin Yu. Jin 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
1.
Yu, Jin, Li Dong, Wenzhi Zeng, & Guoqing Lei. (2025). Rice yield predictions from remote sensing inputs in machine learning models. Agronomy Journal. 117(6).
2.
Yu, Jin, Yifan Zhao, Guoqing Lei, & Wenzhi Zeng. (2025). A comparison of physics‐based, data‐driven, and hybrid modeling approaches for rice phenology prediction. Agronomy Journal. 117(1). 3 indexed citations
3.
Bai, Yu, et al.. (2024). Swin-MSP: A Shifted Windows Masked Spectral Pretraining Model for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 5 indexed citations
4.
Yu, Jin, Juan Liu, Yuanyuan Zhou, et al.. (2024). CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. Computerized Medical Imaging and Graphics. 113. 102354–102354. 2 indexed citations
5.
Zhang, Na, Juan Liu, Jin Yu, et al.. (2023). An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. BMC Bioinformatics. 24(1). 315–315. 7 indexed citations
6.
Yang, Qi, Liangsheng Shi, Jingye Han, et al.. (2023). Regulating the time of the crop model clock: A data assimilation framework for regions with high phenological heterogeneity. Field Crops Research. 293. 108847–108847. 11 indexed citations
7.
Yu, Jin, et al.. (2023). Multiple model averaging methods for predicting regional rice yield. Agronomy Journal. 115(2). 635–646. 7 indexed citations
8.
Yu, Jin, Zhipeng Ren, Honghu Li, & Na Tan. (2023). Performance evaluation of the ORYZA_V3 model for rice growth and organ nitrogen content. Agronomy Journal. 115(6). 2938–2949. 1 indexed citations
9.
Han, Jingye, Liangsheng Shi, Qi Yang, et al.. (2022). Rice yield estimation using a CNN-based image-driven data assimilation framework. Field Crops Research. 288. 108693–108693. 30 indexed citations
10.
Yao, Xufeng, et al.. (2021). Classification of white blood cells using weighted optimized deformable convolutional neural networks. Artificial Cells Nanomedicine and Biotechnology. 49(1). 147–155. 75 indexed citations
11.
Han, Jingye, Liangsheng Shi, Qi Yang, et al.. (2020). Real-time detection of rice phenology through convolutional neural network using handheld camera images. Precision Agriculture. 22(1). 154–178. 41 indexed citations
13.
Zhang, Qi, Jun Du, & Jin Yu. (2019). Face Attribute Transformation Based On ConStarGAN. 1383–1390.
14.
Yu, Jin, Haitao Liao, & Harry A. Pierson. (2019). Automatic Feature-Based Point Cloud Alignment and Inspection. Procedia Manufacturing. 39. 484–492. 2 indexed citations
16.
Abidi, Syed Sibte Raza, et al.. (2018). A Data Mining Framework for Glaucoma Decision Support Based on Optic Nerve Image Analysis Using Machine Learning Methods. PubMed. 2(4). 370–401. 9 indexed citations
17.
Yu, Jin, et al.. (2017). Typologies and Characteristics of Adolescent-Peer Delinquency using Latent Class Analysis. Korean Journal of Child Studies. 38(2). 165–176.
18.
Zhang, Yongjun, Bo Wang, Jin Yu, et al.. (2014). Technologies and system for automatic generation of advanced geo-spatial products with Chinese satellite imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9158. 91580D–91580D. 1 indexed citations
19.
Yu, Jin, et al.. (2005). Study on the relative radiometric correction of CBERS satellite CCD image. Science China Technological Sciences. 48(S2). 12–28. 7 indexed citations
20.
Yu, Jin, et al.. (2005). A HYBRID FEATURE SELECTION STRATEGY FOR IMAGE DEFINING FEATURES: TOWARDS INTERPRETATION OF OPTIC NERVE IMAGES. Research Explorer (The University of Manchester). 5127–5132.

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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