Kangjian He

1.6k total citations
70 papers, 1.1k citations indexed

About

Kangjian He is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Kangjian He has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 42 papers in Media Technology and 13 papers in Aerospace Engineering. Recurrent topics in Kangjian He's work include Advanced Image Fusion Techniques (40 papers), Image Enhancement Techniques (23 papers) and Remote-Sensing Image Classification (12 papers). Kangjian He is often cited by papers focused on Advanced Image Fusion Techniques (40 papers), Image Enhancement Techniques (23 papers) and Remote-Sensing Image Classification (12 papers). Kangjian He collaborates with scholars based in China, Australia and Philippines. Kangjian He's co-authors include Dongming Zhou, Rencan Nie, Dan Xu, Xin Jin, Qian Jiang, Shaowen Yao, Hao Zhang, Jinde Cao, Xiaopeng Guo and Xuejie Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Kangjian He

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kangjian He China	18	763	751	241	184	101	70	1.1k
Hongtao Huo China	15	599 0.8×	620 0.8×	336 1.4×	79 0.4×	90 0.9×	36	974
Marko Heikkilä Finland	4	1.7k 2.3×	266 0.4×	234 1.0×	56 0.3×	145 1.4×	6	1.9k
Huchuan Lu China	17	1.1k 1.4×	239 0.3×	151 0.6×	53 0.3×	68 0.7×	27	1.2k
Zixiang Zhao China	13	897 1.2×	1.0k 1.4×	256 1.1×	91 0.5×	78 0.8×	48	1.4k
Yongri Piao China	20	1.7k 2.2×	321 0.4×	194 0.8×	29 0.2×	65 0.6×	29	1.8k
Yaoqi Sun China	14	649 0.9×	112 0.1×	181 0.8×	49 0.3×	102 1.0×	53	877
Nabin Sharma Australia	18	888 1.2×	312 0.4×	174 0.7×	55 0.3×	271 2.7×	44	1.1k
Zhanghan Ke Hong Kong	6	542 0.7×	140 0.2×	86 0.4×	56 0.3×	206 2.0×	10	858
Yuanlin Zhang China	15	546 0.7×	347 0.5×	83 0.3×	59 0.3×	99 1.0×	76	825

Countries citing papers authored by Kangjian He

Since Specialization

Citations

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

Fields of papers citing papers by Kangjian He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangjian He

This figure shows the co-authorship network connecting the top 25 collaborators of Kangjian He. A scholar is included among the top collaborators of Kangjian He 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 Kangjian He. Kangjian He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

He, Kangjian, et al.. (2025). Innovative design, experiment and verification of undisturbed sampling technology for lunar superficial layer. Acta Astronautica. 234. 352–367. 1 indexed citations

He, Kangjian, et al.. (2025). Deformable coordinate kernel attention-based network for medical image segmentation. 68–68. 1 indexed citations

Xu, Dan, et al.. (2025). TSSA-Net: Transposed Sparse Self-Attention-based network for image super-resolution. Engineering Applications of Artificial Intelligence. 153. 110823–110823. 1 indexed citations

Hou, Ruichao, et al.. (2025). DSKFuse: Passive-active distillation learning for multi-modal image fusion via dynamic sparse kansformer. Expert Systems with Applications. 303. 130610–130610.

Mei, Wei, et al.. (2025). A lightweight medical image fusion network by structural similarity pseudo labels iteration. Biomedical Signal Processing and Control. 110. 108043–108043.

He, Kangjian, et al.. (2025). Aligning and flocking of ellipsoidal Quincke rollers by flipping. Chinese Physics B. 34(7). 76401–76401. 1 indexed citations

He, Kangjian, et al.. (2024). RegFSC-Net: Medical Image Registration via Fourier Transform With Spatial Reorganization and Channel Refinement Network. IEEE Journal of Biomedical and Health Informatics. 28(6). 3489–3500. 3 indexed citations

He, Kangjian, et al.. (2024). A multi-weight fusion framework for infrared and visible image fusion. Multimedia Tools and Applications. 83(27). 68931–68957. 1 indexed citations

He, Kangjian, et al.. (2024). $$\hbox {KD}^{3}$$mt: knowledge distillation-driven dynamic mixer transformer for medical image fusion. The Visual Computer. 41(6). 3679–3693. 1 indexed citations

10.

He, Kangjian, et al.. (2024). A dual-domain framework for multimodal medical image registration: Optimizing phase consistency with LPC-GIMI. Biomedical Signal Processing and Control. 99. 106809–106809. 2 indexed citations

11.

Zhang, Hao, et al.. (2023). Boosting Image Emotion Analysis via Coupling Dependent Attentive Model. 76–82. 2 indexed citations

12.

Xu, Dan, et al.. (2023). Machine learning‐based radiotherapy time prediction and treatment scheduling management. Journal of Applied Clinical Medical Physics. 24(9). e14076–e14076. 4 indexed citations

13.

He, Kangjian, et al.. (2022). Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image. IEEE Transactions on Multimedia. 25. 4943–4957. 16 indexed citations

14.

Fu, Yuting, et al.. (2022). Image Inpainting Based on Edge Features and Attention Mechanism. 13. 64–71.

15.

Zhang, Hao, et al.. (2022). Learning multi-level representations for affective image recognition. Neural Computing and Applications. 34(16). 14107–14120. 12 indexed citations

16.

He, Kangjian, et al.. (2021). Regions Preserving Edge Enhancement for Multisensor-Based Medical Image Fusion. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 21 indexed citations

17.

Zhao, Yan, Dan Xu, & Kangjian He. (2021). AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis. 182–188.

18.

Yue, Yingying, et al.. (2021). OsaMOT: Occlusion and scale‐aware multi‐object tracking algorithm for low viewpoint. IET Image Processing. 16(2). 622–640. 4 indexed citations

19.

Jin, Xin, Jingyu Hou, Rencan Nie, et al.. (2018). A lightweight scheme for multi-focus image fusion. Multimedia Tools and Applications. 77(18). 23501–23527. 11 indexed citations

20.

He, Kangjian, Dongming Zhou, Xuejie Zhang, et al.. (2017). Infrared and visible image fusion based on target extraction in the nonsubsampled contourlet transform domain. Journal of Applied Remote Sensing. 11(1). 1–1. 37 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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