Guangkai Sun

635 total citations
33 papers, 436 citations indexed

About

Guangkai Sun is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Guangkai Sun has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Guangkai Sun's work include Advanced Fiber Optic Sensors (10 papers), Underwater Vehicles and Communication Systems (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Guangkai Sun is often cited by papers focused on Advanced Fiber Optic Sensors (10 papers), Underwater Vehicles and Communication Systems (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Guangkai Sun collaborates with scholars based in China and United States. Guangkai Sun's co-authors include Lianqing Zhu, Mingli Dong, Yan‐Lin He, Lianqing Zhu, Xiaoping Lou, Fanyong Meng, Hao Yan, Junfei Qiao, Tao Zhang and Lianqing Zhu and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Guangkai Sun

32 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangkai Sun China 13 121 98 93 76 64 33 436
Cristina Tarín Germany 15 157 1.3× 163 1.7× 40 0.4× 40 0.5× 34 0.5× 108 761
Liquan Dong China 12 76 0.6× 128 1.3× 285 3.1× 23 0.3× 42 0.7× 92 551
Unsoo Ha United States 8 166 1.4× 204 2.1× 15 0.2× 54 0.7× 17 0.3× 12 390
Vega Pradana Rachim South Korea 15 276 2.3× 398 4.1× 42 0.5× 63 0.8× 13 0.2× 29 706
Filippo Laganà Italy 13 61 0.5× 86 0.9× 48 0.5× 8 0.1× 25 0.4× 42 372
Yun Dai China 15 71 0.6× 61 0.6× 61 0.7× 11 0.1× 88 1.4× 66 673
Ajit Jha Norway 15 285 2.4× 98 1.0× 122 1.3× 4 0.1× 56 0.9× 46 660
Domenico De Carlo Italy 11 89 0.7× 70 0.7× 37 0.4× 7 0.1× 14 0.2× 32 293
Hairong Qi United States 13 280 2.3× 67 0.7× 126 1.4× 4 0.1× 43 0.7× 32 657
Deisy Chaves Colombia 6 66 0.5× 60 0.6× 64 0.7× 4 0.1× 34 0.5× 19 326

Countries citing papers authored by Guangkai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guangkai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangkai Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guangkai Sun. A scholar is included among the top collaborators of Guangkai Sun 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 Guangkai Sun. Guangkai Sun 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.
Sun, Guangkai, Mingli Dong, & Lianqing Zhu. (2025). Rethinking the approach to lightweight multi-branch heterogeneous image fusion frameworks: Infrared and visible image fusion via the parallel Mamba-KAN framework. Optics & Laser Technology. 185. 112612–112612. 2 indexed citations
2.
Sun, Guangkai, Mingli Dong, & Lianqing Zhu. (2025). An innovative optimization strategy based on Mamba and generative adversarial networks for efficient and high-performance multimodal image fusion. Engineering Applications of Artificial Intelligence. 163. 112788–112788.
3.
4.
Zhu, Lianqing, et al.. (2024). SMOF-Based Torsion Compensated Bishop Algorithm for Medical Shape Measurement. IEEE Photonics Technology Letters. 36(11). 713–716. 2 indexed citations
5.
Zhu, Lianqing, et al.. (2023). FBG-based 3D shape sensor based on spun multi-core fibre for continuum surgical robots. Applied Physics B. 129(9). 6 indexed citations
6.
Sun, Guangkai, et al.. (2023). A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning. Heliyon. 9(4). e14784–e14784. 32 indexed citations
7.
Li, Ke, et al.. (2021). Design and fabrication of AWG with large bandwidth applied in FBG interrogation system. Optics & Laser Technology. 149. 107372–107372. 16 indexed citations
8.
Zhu, Lianqing, Guangkai Sun, Weimin Bao, et al.. (2021). Structural Deformation Monitoring of Flight Vehicles Based on Optical Fiber Sensing Technology: A Review and Future Perspectives. Engineering. 16. 39–55. 33 indexed citations
9.
Zhu, Lianqing, et al.. (2020). Diverse spectral band-based deep residual network for tongue squamous cell carcinoma classification using fiber optic Raman spectroscopy. Photodiagnosis and Photodynamic Therapy. 32. 102048–102048. 22 indexed citations
10.
Yu, Mingxin, Hao Yan, Jing Han, et al.. (2020). EEG-based tonic cold pain assessment using extreme learning machine. Intelligent Data Analysis. 24(1). 163–182. 7 indexed citations
11.
Yan, Hao, et al.. (2020). Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy. IEEE Access. 8. 127313–127328. 31 indexed citations
12.
Yan, Hao, Lianqing Zhu, Tao Zhang, et al.. (2019). Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy. Photodiagnosis and Photodynamic Therapy. 26. 430–435. 56 indexed citations
13.
He, Yan‐Lin, Xu Zhang, Mingli Dong, et al.. (2019). Performance evaluation of spherical robot for amphibious applications. Microsystem Technologies. 25(12). 4483–4494. 3 indexed citations
14.
Yu, Mingxin, Lianqing Zhu, Yingzi Lin, et al.. (2019). Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG. Neurocomputing. 378. 270–282. 27 indexed citations
15.
Sun, Guangkai, Xu Zhang, Mingli Dong, et al.. (2018). Polyvinyl chloride reinforced soft silicone curvature sensor with optical fiber implantation. Optik. 177. 26–35. 2 indexed citations
16.
Meng, Fanyong, et al.. (2018). Optical fiber based soft curvature sensor with polyvinyl chloride reinforced silicone rubber substrate. Optik. 178. 567–574. 11 indexed citations
17.
He, Yan‐Lin, Lianqing Zhu, Guangkai Sun, Junfei Qiao, & Shuxiang Guo. (2018). Underwater motion characteristics evaluation of multi amphibious spherical robots. Microsystem Technologies. 25(2). 499–508. 31 indexed citations
18.
He, Yan‐Lin, Lianqing Zhu, Guangkai Sun, & Mingli Dong. (2018). Study on formation control system for underwater spherical multi-robot. Microsystem Technologies. 25(4). 1455–1466. 10 indexed citations
19.
Sun, Guangkai, et al.. (2018). Non-contact characterization of debonding in lead-alloy steel bonding structure with laser ultrasound. Optik. 164. 734–744. 6 indexed citations
20.
He, Yan‐Lin, Lianqing Zhu, Guangkai Sun, & Junfei Qiao. (2018). Cooperative localization and evaluation of small-scaled spherical underwater robots. Microsystem Technologies. 25(2). 573–585. 11 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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