Jun Yue

848 total citations
30 papers, 603 citations indexed

About

Jun Yue is a scholar working on Computer Vision and Pattern Recognition, Water Science and Technology and Molecular Biology. According to data from OpenAlex, Jun Yue has authored 30 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Water Science and Technology and 5 papers in Molecular Biology. Recurrent topics in Jun Yue's work include Water Quality Monitoring Technologies (10 papers), Smart Agriculture and AI (5 papers) and Identification and Quantification in Food (4 papers). Jun Yue is often cited by papers focused on Water Quality Monitoring Technologies (10 papers), Smart Agriculture and AI (5 papers) and Identification and Quantification in Food (4 papers). Jun Yue collaborates with scholars based in China, United Kingdom and Pakistan. Jun Yue's co-authors include Zhenbo Li, Zetian Fu, Lu Liu, Jing Wu, Ruohao Guo, Ye Li, Yizhe Wang, Chen Li, Ling Zhu and Zhiwang Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Jun Yue

26 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yue China 11 258 166 93 85 70 30 603
Prateek Gupta India 12 183 0.7× 410 2.5× 55 0.6× 101 1.2× 74 1.1× 39 928
Sunil Kumar Jha India 6 87 0.3× 169 1.0× 20 0.2× 32 0.4× 47 0.7× 10 511
Jingdun Jia China 12 109 0.4× 308 1.9× 14 0.2× 50 0.6× 126 1.8× 41 580
Rongli Gai China 8 76 0.3× 194 1.2× 40 0.4× 27 0.3× 61 0.9× 36 453
Jifeng Shen China 18 255 1.0× 273 1.6× 17 0.2× 118 1.4× 266 3.8× 56 935
Steven W. Chen United States 9 160 0.6× 350 2.1× 20 0.2× 19 0.2× 134 1.9× 10 693
Jiaxing Xie China 13 65 0.3× 155 0.9× 15 0.2× 39 0.5× 29 0.4× 31 466
Vijaya R. Thool India 10 56 0.2× 218 1.3× 50 0.5× 17 0.2× 30 0.4× 27 530

Countries citing papers authored by Jun Yue

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yue. A scholar is included among the top collaborators of Jun Yue 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 Jun Yue. Jun Yue 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.
Liu, Yeqiang, et al.. (2024). TFMFT: Transformer-based multiple fish tracking. Computers and Electronics in Agriculture. 217. 108600–108600. 11 indexed citations
2.
Yao, Tao, Ruxin Wang, Jintao Wang, et al.. (2023). Efficient Supervised Graph Embedding Hashing for large-scale cross-media retrieval. Pattern Recognition. 145. 109934–109934. 15 indexed citations
3.
Yao, Tao, et al.. (2023). Cross-modal Semantically Augmented Network for Image-text Matching. ACM Transactions on Multimedia Computing Communications and Applications. 20(4). 1–18. 6 indexed citations
4.
Yue, Jun, et al.. (2023). Detection and counting method of juvenile abalones based on improved SSD network. Information Processing in Agriculture. 11(3). 325–336. 3 indexed citations
5.
Zhang, Yang, et al.. (2022). A High-similarity shellfish recognition method based on convolutional neural network. Information Processing in Agriculture. 10(2). 149–163.
6.
Zhang, Zhiwang, et al.. (2021). Classification of strawberry diseases and pests by improved AlexNet deep learning networks. 359–364. 9 indexed citations
7.
Li, Zhenbo, et al.. (2020). A solanaceae disease recognition model based on SE-Inception. Computers and Electronics in Agriculture. 178. 105792–105792. 35 indexed citations
8.
Yue, Jun, et al.. (2020). A multi-scale features-based method to detect Oplegnathus. Information Processing in Agriculture. 8(3). 437–445. 5 indexed citations
9.
Yue, Jun, et al.. (2019). SAR Image Invariant Feature Extraction by Anisotropic Diffusion and Multi-Gray Level Simplified PCNN. IEEE Access. 7. 47135–47142. 5 indexed citations
10.
Li, Zhenbo, et al.. (2018). High performance vegetable classification from images based on AlexNet deep learning model. International journal of agricultural and biological engineering. 11(4). 217–223. 17 indexed citations
11.
Yue, Jun, et al.. (2018). Multi-kernel dictionary learning for maize varieties classification. International journal of agricultural and biological engineering. 11(3). 183–189. 5 indexed citations
12.
Zhu, Ling, et al.. (2018). High performance vegetable classification from images based on AlexNet deep learning model. International journal of agricultural and biological engineering. 11(4). 190–196. 49 indexed citations
13.
Zhang, Zhiwang, et al.. (2018). Sparse feature kernel multi-criteria linear programming classifier. Neurocomputing. 305. 104–115. 3 indexed citations
14.
Yu, Jiang, Jing‐Jing Fang, Zhenbo Li, et al.. (2012). Automatic tracking of swimming koi using a particle filter with a center-surrounding cue. Mathematical and Computer Modelling. 58(3-4). 859–867. 3 indexed citations
15.
Fang, Jing‐Jing, Yu Jiang, Jun Yue, et al.. (2012). A hybrid approach for efficient detection of plastic mulching films in cotton. Mathematical and Computer Modelling. 58(3-4). 834–841. 3 indexed citations
16.
Li, Zhenbo, Jun Yue, Lifeng Zhang, Daoliang Li, & Zetian Fu. (2012). Design and Implementation of Real-Time Monitoring and Intelligent Management System for Intensive Aquaculture. Sensor Letters. 10(1). 309–316. 4 indexed citations
17.
Yue, Jun, Lu Liu, Zhenbo Li, Zhi Li, & Zetian Fu. (2011). Improved quality analytical models for aquatic products at the transportation in the cold chain. Mathematical and Computer Modelling. 58(3-4). 474–479. 19 indexed citations
18.
Yue, Jun, Zhenbo Li, Lu Liu, & Zetian Fu. (2010). Content-based image retrieval using color and texture fused features. Mathematical and Computer Modelling. 54(3-4). 1121–1127. 213 indexed citations
19.
Yue, Jun, et al.. (2010). Ontology based distributed agricultural knowledge management. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. 12. 2858–2861. 3 indexed citations
20.
Yue, Jun, et al.. (2008). A New E-learning System: Design and Implementation. 745–748.

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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