Dongyun Lin

728 total citations
22 papers, 509 citations indexed

About

Dongyun Lin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Dongyun Lin has authored 22 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Dongyun Lin's work include Image Processing Techniques and Applications (8 papers), Industrial Vision Systems and Defect Detection (7 papers) and Integrated Circuits and Semiconductor Failure Analysis (6 papers). Dongyun Lin is often cited by papers focused on Image Processing Techniques and Applications (8 papers), Industrial Vision Systems and Defect Detection (7 papers) and Integrated Circuits and Semiconductor Failure Analysis (6 papers). Dongyun Lin collaborates with scholars based in Singapore, China and South Korea. Dongyun Lin's co-authors include Zhiping Lin, Long D. Nguyen, Jiuwen Cao, Yiqun Li, Tin Lay Nwe, Zaw Min Oo, Shitala Prasad, Jinhong Wu, Pingfan Rao and Xiuyun Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Knowledge-Based Systems.

In The Last Decade

Dongyun Lin

21 papers receiving 488 citations

Peers

Countries citing papers authored by Dongyun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Dongyun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyun Lin

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

#	Work	Indexed citations
1	SCA-PVNet: Self-and-cross attention based aggregation of point cloud and multi-view for 3D object retrieval 2024 ·Knowledge-Based Systems ·Dongyun Lin, (unknown), (unknown), (unknown), Yiqun Li	11
2	Multi-Range View Aggregation Network With Vision Transformer Feature Fusion for 3D Object Retrieval 2023 ·IEEE Transactions on Multimedia ·Dongyun Lin, Yiqun Li, (unknown), Shitala Prasad, (unknown), Yanpeng Cao	6
3	An effective industrial defect classification method under the few-shot setting via two-stream training 2022 ·Optics and Lasers in Engineering ·Yanlong Cao, Wenbin Zhu, Jiangxin Yang, Guizhong Fu, Dongyun Lin, Yanpeng Cao	19
4	MLSA-UNet: End-to-End Multi-Level Spatial Attention Guided UNet for Industrial Defect Segmentation 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Dongyun Lin, (unknown), Yiqun Li, Shitala Prasad, (unknown)	3
5	Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features 2022 ·Knowledge-Based Systems ·Dongyun Lin, Yiqun Li, (unknown), Shitala Prasad, Tin Lay Nwe, (unknown), (unknown)	10
6	On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Tin Lay Nwe, Ramanpreet Singh Pahwa, (unknown), (unknown), Jie Wang, Yiqun Li, Dongyun Lin, Shitala Prasad, (unknown)	1
7	CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation 2021 ·Knowledge-Based Systems ·Dongyun Lin, Yiqun Li, Shitala Prasad, Tin Lay Nwe, (unknown), Zaw Min Oo	41
8	Cam-Guided U-Net With Adversarial Regularization For Defect Segmentation 2021 ·Dongyun Lin, Yiqun Li, Shitala Prasad, Tin Lay Nwe, (unknown), Zaw Min Oo	3
9	Few-Shot Defect Segmentation Leveraging Abundant Defect-Free Training Samples Through Normal Background Regularization And Crop-And-Paste Operation 2021 ·Dongyun Lin, Yanpeng Cao, Wenbin Zhu, Yiqun Li	13
10	Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps 2020 ·Tin Lay Nwe, (unknown), (unknown), Dongyun Lin, Shitala Prasad, (unknown), Yiqun Li, Ramanpreet Singh Pahwa	8
11	RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation 2020 ·Pattern Recognition Letters ·Dongyun Lin, Yiqun Li, Tin Lay Nwe, (unknown), Zaw Min Oo	44
12	CAM-UNET: Class Activation MAP Guided UNET with Feedback Refinement for Defect Segmentation 2020 ·Dongyun Lin, Yiqun Li, Shitala Prasad, Tin Lay Nwe, (unknown), Zaw Min Oo	20
13	Meta Module Generation for Fast Few-Shot Incremental Learning 2019 ·(unknown), Yiqun Li, Dongyun Lin, Tin Lay Nwe, (unknown)	3
14	Vibration source classification and propagation distance estimation system based on spectrogram and KELM 2019 ·SHILAP Revista de lepidopterología ·Zhiyong Chen, Jiuwen Cao, Dongyun Lin, Jianzhong Wang, Xuegang Huang	1
15	Biomedical image classification based on a feature concatenation and ensemble of deep CNNs 2019 ·Journal of Ambient Intelligence and Humanized Computing ·Long D. Nguyen, (unknown), Dongyun Lin, Zhiping Lin	40
16	Biomedical image classification based on a cascade of an SVM with a reject option and subspace analysis 2018 ·Computers in Biology and Medicine ·Dongyun Lin, Лэй Сун, Kar‐Ann Toh, (unknown), Zhiping Lin	17
17	Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation 2018 ·DR-NTU (Nanyang Technological University) ·Long D. Nguyen, Dongyun Lin, Zhiping Lin, Jiuwen Cao	171
18	LLC encoded BoW features and softmax regression for microscopic image classification 2017 ·Dongyun Lin, Zhiping Lin, Лэй Сун, Kar‐Ann Toh, Jiuwen Cao	10
19	An SVM based scoring evaluation system for fluorescence microscopic image classification 2015 ·Dongyun Lin, Zhiping Lin, (unknown), Lei Lei, Jingbo Zhang	6
20	First report of a novel plant lysozyme with both antifungal and antibacterial activities 2004 ·Biochemical and Biophysical Research Communications ·Shaoyun Wang, Tzi Bun Ng, Tianbao Chen, Dongyun Lin, Jinhong Wu, Pingfan Rao, Xiuyun Ye	81

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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