Kan Jin

571 total citations · 1 hit paper
9 papers, 430 citations indexed

About

Kan Jin is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Kan Jin has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aerospace Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Media Technology. Recurrent topics in Kan Jin's work include Advanced SAR Imaging Techniques (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers) and Geophysical Methods and Applications (2 papers). Kan Jin is often cited by papers focused on Advanced SAR Imaging Techniques (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers) and Geophysical Methods and Applications (2 papers). Kan Jin collaborates with scholars based in China, United Kingdom and United States. Kan Jin's co-authors include Naoyuki Kubota, Jing Li, Zhaojie Ju, Dalin Zhou, Jian Yang, Junjun Yin, Jian Yang, Xuesong Wang, Yilun Chen and Hang Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Neurocomputing.

In The Last Decade

Kan Jin

9 papers receiving 421 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.

Attention mechanism-based CNN for facial expression recognition

2020 233 citations Jing Li, Kan Jin et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kan Jin China	7	223	153	122	47	44	9	430
Zilu Ying China	11	284 1.3×	80 0.5×	166 1.4×	53 1.1×	36 0.8×	46	413
Junying Gan China	13	367 1.6×	59 0.4×	97 0.8×	76 1.6×	24 0.5×	74	540
M. H. Supriya India	11	280 1.3×	23 0.2×	91 0.7×	77 1.6×	46 1.0×	75	605
Mohsen Ardabilian France	8	713 3.2×	31 0.2×	126 1.0×	65 1.4×	91 2.1×	11	853
Joseph Ronsin France	14	344 1.5×	46 0.3×	19 0.2×	47 1.0×	191 4.3×	49	547
Moussa Amrani China	8	82 0.4×	115 0.8×	12 0.1×	65 1.4×	43 1.0×	10	435
Fengliang Xu United States	7	181 0.8×	115 0.8×	29 0.2×	25 0.5×	17 0.4×	11	325
Di Lu China	13	248 1.1×	23 0.2×	69 0.6×	81 1.7×	334 7.6×	54	727
Qi Jia China	11	475 2.1×	101 0.7×	13 0.1×	22 0.5×	74 1.7×	40	525

Countries citing papers authored by Kan Jin

Since Specialization

Citations

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

Fields of papers citing papers by Kan Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Jin. A scholar is included among the top collaborators of Kan Jin 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 Kan Jin. Kan Jin 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:

9 of 9 papers shown

1.

Jin, Kan, et al.. (2023). Residual in Residual Scaling Networks for Polarimetric SAR Image Despeckling. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 12 indexed citations

2.

Li, Jing, Kan Jin, Dalin Zhou, Naoyuki Kubota, & Zhaojie Ju. (2020). Attention mechanism-based CNN for facial expression recognition. Neurocomputing. 411. 340–350. 233 indexed citations breakdown →

3.

Jin, Kan, Yilun Chen, Bin Xu, et al.. (2020). A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images. IEEE Transactions on Geoscience and Remote Sensing. 58(9). 6623–6638. 66 indexed citations

4.

Chen, Hang, et al.. (2019). Nonuniform Rotation Parameter Estimation in ISAR Imaging by Multiple Scattering Point Set Matching. IEEE Transactions on Geoscience and Remote Sensing. 57(10). 8144–8152. 1 indexed citations

5.

Chen, Hang, et al.. (2019). Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images. IEEE Geoscience and Remote Sensing Letters. 17(2). 247–251. 55 indexed citations

6.

Song, Shengli, Kan Jin, Bin Zuo, & Jian Yang. (2019). A novel change detection method combined with registration for SAR images. Remote Sensing Letters. 10(7). 669–678. 13 indexed citations

7.

Li, Zenghui, Kan Jin, Bin Xu, Wei Zhou, & Jian Yang. (2016). An Improved Attributed Scattering Model Optimized by Incremental Sparse Bayesian Learning. IEEE Transactions on Geoscience and Remote Sensing. 54(5). 2973–2987. 36 indexed citations

8.

Wen, Chang, et al.. (2015). Long‐distance imaging with frequency modulation continuous wave and inverse synthetic aperture radar. IET Radar Sonar & Navigation. 9(6). 653–659. 5 indexed citations

9.

Zhou, Wei, et al.. (2015). ISAR Imaging Based on the Wideband Hyperbolic Frequency-ModulationWaveform. Sensors. 15(9). 23188–23204. 9 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.

Explore authors with similar magnitude of impact