Chuan Lin

446 total citations
55 papers, 278 citations indexed

About

Chuan Lin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Chuan Lin has authored 55 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 14 papers in Cognitive Neuroscience and 12 papers in Media Technology. Recurrent topics in Chuan Lin's work include Visual Attention and Saliency Detection (16 papers), Visual perception and processing mechanisms (14 papers) and Medical Image Segmentation Techniques (10 papers). Chuan Lin is often cited by papers focused on Visual Attention and Saliency Detection (16 papers), Visual perception and processing mechanisms (14 papers) and Medical Image Segmentation Techniques (10 papers). Chuan Lin collaborates with scholars based in China and Macao. Chuan Lin's co-authors include Yongjie Li, Zhenshen Qu, Guili Xu, Ruixing Wang, Chenghua Liang, Ya Li, Yongliang Chen, Cong Lin, Cong Lin and Yi Cao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chuan Lin

45 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chuan Lin China	10	214	71	57	44	28	55	278
Haoyu Xu China	6	180 0.8×	35 0.5×	39 0.7×	17 0.4×	49 1.8×	10	299
D. G. Shaposhnikov Russia	6	201 0.9×	106 1.5×	20 0.4×	29 0.7×	20 0.7×	33	286
Shuhan Chen China	8	252 1.2×	43 0.6×	34 0.6×	51 1.2×	10 0.4×	18	323
Wenbo Zhang China	7	223 1.0×	21 0.3×	21 0.4×	23 0.5×	11 0.4×	18	292
Xiongli Chai China	13	393 1.8×	152 2.1×	12 0.2×	52 1.2×	11 0.4×	38	447
Hangwei Chen China	11	340 1.6×	103 1.5×	13 0.2×	46 1.0×	6 0.2×	36	400
Hiroyuki Kubo Japan	10	200 0.9×	36 0.5×	19 0.3×	14 0.3×	24 0.9×	59	313
Yueli Cui China	9	237 1.1×	73 1.0×	9 0.2×	35 0.8×	8 0.3×	29	344
Yongjiang Luo China	8	212 1.0×	63 0.9×	32 0.6×	19 0.4×	4 0.1×	14	292
Zijun Deng China	7	575 2.7×	140 2.0×	26 0.5×	85 1.9×	11 0.4×	11	638

Countries citing papers authored by Chuan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chuan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Lin. A scholar is included among the top collaborators of Chuan Lin 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 Chuan Lin. Chuan Lin 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

Li, Chang & Chuan Lin. (2025). MFI-Net: Multi-level feature integration network for segmentation in breast ultrasound imaging. Digital Signal Processing. 161. 105090–105090.

Yao, Fengjuan, Chuan Lin, Patrick Cheong‐Iao Pang, et al.. (2025). BLENet: A Bio-Inspired Lightweight and Efficient Network for Left Ventricle Segmentation in Echocardiography. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9218–9233. 1 indexed citations

Wang, Xiaodong, et al.. (2025). Detail-enhanced lightweight network for small object detection in aerial images. The Visual Computer. 41(11). 8451–8466.

Lin, Chuan, et al.. (2025). RPLFDet: A Lightweight Small Object Detection Network for UAV Aerial Images With Rational Preservation of Low-Level Features. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 3 indexed citations

Lin, Chuan, et al.. (2025). Learning Gabor layer for edge detection network. Digital Signal Processing. 167. 105438–105438.

Qu, Zhenshen, et al.. (2025). Real-time inner wall surface defect detection based on multi-morphological feature fusion network. Engineering Applications of Artificial Intelligence. 159. 111331–111331.

Lin, Chuan, et al.. (2025). VSTDet: A lightweight small object detection network inspired by the ventral visual pathway. Applied Soft Computing. 171. 112775–112775. 2 indexed citations

Lin, Chuan, et al.. (2024). CRNet: Cascaded Refinement Network for polyp segmentation. Journal of King Saud University - Computer and Information Sciences. 36(10). 102250–102250. 3 indexed citations

Lin, Chuan, et al.. (2024). BRSTD: Bio-Inspired Remote Sensing Tiny Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 12 indexed citations

10.

Lin, Chuan, et al.. (2024). A lightweight contour detection network inspired by biology. Complex & Intelligent Systems. 10(3). 4275–4291. 4 indexed citations

11.

Li, Yongjie, et al.. (2024). BINet: Bio-inspired network for retinal vessel segmentation. Biomedical Signal Processing and Control. 100. 107003–107003. 3 indexed citations

12.

Lin, Chuan, et al.. (2024). EVMNet: Eagle visual mechanism-inspired lightweight network for small object detection in UAV aerial images. Digital Signal Processing. 158. 104957–104957. 5 indexed citations

13.

Lin, Chuan, et al.. (2024). LVP-net: A deep network of learning visual pathway for edge detection. Image and Vision Computing. 147. 105078–105078. 1 indexed citations

14.

Lin, Chuan, et al.. (2023). Bio-inspired multi-level interactive contour detection network. Digital Signal Processing. 141. 104155–104155. 3 indexed citations

15.

Lin, Chuan, et al.. (2023). Bio-inspired XYW parallel pathway edge detection network. Expert Systems with Applications. 237. 121649–121649. 15 indexed citations

16.

Zhou, Ling, et al.. (2023). Learning parallel and hierarchical mechanisms for edge detection. Frontiers in Neuroscience. 17. 1194713–1194713. 2 indexed citations

17.

Chen, Yongliang, et al.. (2022). DPED: Bio-inspired dual-pathway network for edge detection. Frontiers in Bioengineering and Biotechnology. 10. 1008140–1008140. 7 indexed citations

18.

Lin, Chuan, et al.. (2022). Edge detection networks inspired by neural mechanisms of selective attention in biological visual cortex. Frontiers in Neuroscience. 16. 1073484–1073484. 4 indexed citations

19.

Lin, Chuan, et al.. (2021). Real-time Detection of Pantograph Using Improved CenterNet. 85–89. 5 indexed citations

20.

Lin, Chuan. (2012). Research of ways for improving the spatial resolution of remote sensing images. 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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