Kun Yan

485 total citations
25 papers, 240 citations indexed

About

Kun Yan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Kun Yan has authored 25 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Kun Yan's work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers) and Optical measurement and interference techniques (6 papers). Kun Yan is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers) and Optical measurement and interference techniques (6 papers). Kun Yan collaborates with scholars based in China, Spain and United States. Kun Yan's co-authors include Enhai Liu, Rujin Zhao, Ping Wang, Jinmian Ye, Meng Ma, Zhuang Zhang, Hsiao‐Chun Wu, Fangyun Wei, Jinglu Wang and Yunze Xu and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Kun Yan

20 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Yan China 10 164 97 36 33 27 25 240
Yiyang Zhou China 8 135 0.8× 130 1.3× 49 1.4× 48 1.5× 37 1.4× 19 253
Changsheng Lu China 7 188 1.1× 35 0.4× 25 0.7× 29 0.9× 16 0.6× 16 243
Minh-Tri Pham United Kingdom 10 320 2.0× 124 1.3× 54 1.5× 18 0.5× 36 1.3× 15 390
Bo Fu China 9 163 1.0× 107 1.1× 109 3.0× 26 0.8× 29 1.1× 22 301
Li Fan China 7 217 1.3× 87 0.9× 18 0.5× 17 0.5× 15 0.6× 29 285
M. Zuliani United States 8 284 1.7× 146 1.5× 40 1.1× 9 0.3× 33 1.2× 10 345
Anders Hast Sweden 9 155 0.9× 62 0.6× 39 1.1× 15 0.5× 30 1.1× 64 309
Nikhil Keetha United States 4 192 1.2× 149 1.5× 40 1.1× 18 0.5× 35 1.3× 7 305
Wenshan Wang United States 9 277 1.7× 232 2.4× 26 0.7× 22 0.7× 68 2.5× 18 396

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yan. A scholar is included among the top collaborators of Kun Yan 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 Kun Yan. Kun Yan 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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He, Qingyuan, et al.. (2023). CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. 33. 2351–2356. 1 indexed citations
4.
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Gu, Lihu, Yangfan Zhang, Jiaze Hong, et al.. (2021). Prognostic Value of Pretreatment Overweight/Obesity and Adipose Tissue Distribution in Resectable Gastric Cancer: A Retrospective Cohort Study. Frontiers in Oncology. 11. 680190–680190. 6 indexed citations
6.
Yan, Kun, Man Hua, & Yanling Li. (2021). Multi-target Detection in Airport Scene Based on Yolov5. 1175–1177. 3 indexed citations
7.
Yan, Kun, et al.. (2019). A Robust Fundamental Matrix Estimation Method Based on Epipolar Geometric Error Criterion. IEEE Access. 7. 147523–147533. 9 indexed citations
8.
Zhao, Rujin, et al.. (2019). A Novel Method for Measuring Drogue-UAV Relative Pose in Autonomous Aerial Refueling Based on Monocular Vision. IEEE Access. 7. 139653–139667. 7 indexed citations
9.
Yan, Kun, et al.. (2019). Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. arXiv (Cornell University). 32. 2133–2144. 45 indexed citations
10.
Zhao, Rujin, et al.. (2019). A Convenient Calibration Method for LRF-Camera Combination Systems Based on a Checkerboard. Sensors. 19(6). 1315–1315. 6 indexed citations
11.
Yan, Kun, et al.. (2018). A high accuracy method for pose estimation based on rotation parameters. Measurement. 122. 392–401. 14 indexed citations
12.
Zhao, Rujin, et al.. (2018). A novel autonomous aerial refueling drogue detection and pose estimation method based on monocular vision. Measurement. 136. 132–142. 15 indexed citations
13.
Zhao, Rujin, et al.. (2018). A single-image linear calibration method for camera. Measurement. 130. 298–305. 26 indexed citations
14.
Yan, Kun, et al.. (2017). Calibration of Camera Intrinsic Parameters Using A Single Image. 39–45. 2 indexed citations
15.
Yan, Kun, et al.. (2016). A Decoupled Calibration Method for Camera Intrinsic Parameters and Distortion Coefficients. Mathematical Problems in Engineering. 2016. 1–12. 12 indexed citations
16.
Peng, Jinye, et al.. (2013). Image fusion with double sparse representation in wavelet domain. 1006–1009. 1 indexed citations
17.
Yan, Kun. (2010). New Feature for Plane Target Recognition in ISAR Image. Jisuanji gongcheng.
18.
Gao, Xiaoguang, et al.. (2010). A novel method for limiting the amplitude of SAR images with the principal axis detection. 5. 200–202. 3 indexed citations
19.
Xu, Dongxin, Kun Yan, & Hsiao‐Chun Wu. (2009). Blind Channel Equalization Using Expectation Maximization of Auxiliary Objective Function for Complex Constellations. Civil War Book Review. 1–6. 6 indexed citations
20.
Zhao, Gang, Zongkai Yang, & Kun Yan. (2004). Design and implementation of a distributed learning resource registry system. 333–338. 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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