Jun Yue

4.1k total citations · 3 hit papers
100 papers, 2.8k citations indexed

About

Jun Yue is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Jun Yue has authored 100 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Media Technology, 33 papers in Computer Vision and Pattern Recognition and 18 papers in Atmospheric Science. Recurrent topics in Jun Yue's work include Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Jun Yue is often cited by papers focused on Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Jun Yue collaborates with scholars based in China, Germany and Austria. Jun Yue's co-authors include Wei Bao, Yulei Rao, Leyuan Fang, Shanjun Mao, Wenzhi Zhao, Hui Liu, Pedram Ghamisi, Shaobo Xia, Li Mei and He Min and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jun Yue

93 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning framework for financial time series using stacked autoencoders and long-short term memory

2017 675 citations Jun Yue et al. profile →
Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

2015 425 citations Jun Yue et al. profile →
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models

2023 125 citations Jun Yue, Leyuan Fang et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Yue China	24	1.3k	711	680	505	412	100	2.8k
Min Xia China	41	1.4k 1.1×	703 1.0×	1.2k 1.7×	274 0.5×	938 2.3×	286	4.8k
Chenn‐Jung Huang Taiwan	19	664 0.5×	429 0.6×	193 0.3×	134 0.3×	377 0.9×	101	2.6k
Puhong Duan China	27	1.5k 1.1×	580 0.8×	793 1.2×	57 0.1×	304 0.7×	88	2.2k
Yunming Ye China	37	916 0.7×	726 1.0×	1.3k 1.9×	105 0.2×	2.0k 4.8×	179	4.8k
Imed Riadh Farah Tunisia	22	548 0.4×	393 0.6×	341 0.5×	75 0.1×	300 0.7×	137	2.1k
Min Deng China	26	477 0.4×	217 0.3×	554 0.8×	63 0.1×	762 1.8×	176	4.3k
Nicolas Le Roux France	21	211 0.2×	174 0.2×	1.0k 1.5×	74 0.1×	1.1k 2.6×	63	2.8k
Pedro Antonio Gutiérrez Spain	31	159 0.1×	153 0.2×	401 0.6×	132 0.3×	1.4k 3.5×	164	3.4k
Jing Yu China	26	638 0.5×	103 0.1×	763 1.1×	309 0.6×	404 1.0×	117	2.3k
Bo Zhong China	26	169 0.1×	479 0.7×	86 0.1×	143 0.3×	241 0.6×	118	1.7k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Qinglian, Yixiong Lin, Jun Yue, et al.. (2024). Layered carbon encapsulated CuOx nanopaticles for selective hydrogenation of furfural to furfuryl alcohol. Molecular Catalysis. 565. 114364–114364. 2 indexed citations

Liu, Yeqiang, et al.. (2024). Deep learning in multiple animal tracking: A survey. Computers and Electronics in Agriculture. 224. 109161–109161. 18 indexed citations

Yang, Zhen, et al.. (2024). Open Set Recognition in Real World. International Journal of Computer Vision. 132(8). 3208–3231. 11 indexed citations

Fang, Leyuan, Zhen Yang, Tianlei Ma, et al.. (2024). Open-World Recognition in Remote Sensing: Concepts, challenges, and opportunities. IEEE Geoscience and Remote Sensing Magazine. 12(2). 8–31. 14 indexed citations

Li, Ben, et al.. (2024). Enhancing Hyperspectral Image Classification: Leveraging Unsupervised Information With Guided Group Contrastive Learning. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 11 indexed citations

Yue, Jun, et al.. (2024). Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22. 20 indexed citations

Yue, Jun, et al.. (2024). SemiRS-COC: Semi-Supervised Classification for Complex Remote Sensing Scenes With Cross-Object Consistency. IEEE Transactions on Image Processing. 33. 3855–3870. 6 indexed citations

Wu, Jie, Leyuan Fang, & Jun Yue. (2024). TAKD: Target-Aware Knowledge Distillation for Remote Sensing Scene Classification. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8188–8200. 14 indexed citations

Fang, Leyuan, et al.. (2024). Spectral Query Spatial: Revisiting the Role of Center Pixel in Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 33 indexed citations

10.

Yue, Jun, et al.. (2024). HyperMamba: A Spectral-Spatial Adaptive Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 30 indexed citations

11.

Huang, Zhou, et al.. (2024). SVAFormer: Integrating Random and Hierarchical Spectral View Attention for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations

12.

Yue, Jun, Leyuan Fang, Shaobo Xia, Yue Deng, & Jiayi Ma. (2023). Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models. IEEE Transactions on Image Processing. 32. 5705–5720. 125 indexed citations breakdown →

13.

Yue, Jun, Jiaxing Lin, Yi Fang, et al.. (2023). When Vectorization Meets Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations

14.

Wu, Linshan, Leyuan Fang, Jun Yue, et al.. (2022). Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Image Processing. 31. 7419–7434. 60 indexed citations

15.

Yue, Jun, et al.. (2021). Value Transmission and Goal Evolution of Territorial Spatial Governance in the New Era: Response of the Territorial Spatial Planning Index System at the City and County Scale. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Yue, Jun, et al.. (2021). Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 26 indexed citations

17.

Li, Zhenbo, Yu Jiang, Jun Yue, et al.. (2012). A new hybrid PCNN for multi-objects image segmentation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–6. 1 indexed citations

18.

Li, Zhi, et al.. (2007). Improved two‐grade delayed particle swarm optimisation (TGDPSO) for inventory facility location for perishable food distribution centres in Beijing. New Zealand Journal of Agricultural Research. 50(5). 771–779. 29 indexed citations

19.

Fu, Zetian, Jun Yue, Daoliang Li, et al.. (2007). Evaluation of learner adoption intention of e‐learning in China: A methodology based on perceived innovative attributes. New Zealand Journal of Agricultural Research. 50(5). 609–615. 13 indexed citations

20.

Zhang, Lingxian, Daoliang Li, Weisong Mu, Jun Yue, & Zetian Fu. (2007). Analysing levels of China's agricultural domestic support with an optimising model. New Zealand Journal of Agricultural Research. 50(5). 647–654. 2 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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