Jun Lin

3.4k citations

157 papers · 2.3k indexed · h-index 26

Impact in

Computational Mathematics top 5%
Hardware and Architecture top 5%

Papers in ⓘ

Electrical and Electronic Engineering 79
- Advanced Wireless Communication Techniques 52
- CCD and CMOS Imaging Sensors 10
- Advanced Memory and Neural Computing 10
Computer Networks and Communications 68
- Error Correcting Code Techniques 60
- Cooperative Communication and Network Coding 26

Co-authors: Zhongfeng Wang (98 shared papers)Zhiyuan Yan (15 shared papers)Meiqi Wang (7 shared papers)Siyuan Lu (8 shared papers)Jichen Wang (4 shared papers)Yongmin Yang (3 shared papers)Zhongsheng Chen (3 shared papers)Zheng Hu (3 shared papers)
Journals: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (12 papers)IEEE Transactions on Circuits & Systems II Express Briefs (11 papers)IEEE Transactions on Circuits and Systems I Regular Papers (10 papers)IEEE Communications Letters (5 papers)IEEE Access (3 papers)
Partner nations: China United States New Zealand

In The Last Decade

Jun Lin

149 papers receiving 2.3k citations

Peers

Replace Vijay Vasudevan with:

Vijay Vasudevan United States

Hongbin Sun China

Xiaofan Zhang United States

Ashraf A. Kassim Singapore

Feng Liang China

Erjin Zhou China

Ștefan Preitl Romania

Carlo Fischione Sweden

Kaisheng Ma China

Mohd. Samar Ansari India

Jun Lin relative to Vijay Vasudevan United States Vijay Vasudevan's profile →

Citations per field

00.5×2×4×6.3×

Vijay Vasudevan · 1×

×6.3 25/4

CM

×0.8 190/252

HA

×0.5 565/1k

CVPR

×0.5 589/1k

CNC

×0.6 650/1k

AI

Citations per year

2016

2017

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2019

2020

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2025

2026

Countries citing papers authored by Jun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Lin Line = papers co-authored together Jun Lin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Sparse reconstruction of blade tip-timing signals for multi-mode blade vibration monitoring Mechanical Systems and Signal Processing ·Jun Lin, Zheng Hu, Zhongsheng Chen, Yongmin Yang, Hailong Xu	2016	147
2	Efficient Hardware Architectures for Deep Convolutional Neural Network IEEE Transactions on Circuits and Systems I Regular Papers ·Jichen Wang, Jun Lin, Zhongfeng Wang	2017	118
3	A High-Speed and Low-Complexity Architecture for Softmax Function in Deep Learning Meiqi Wang, Siyuan Lu, Danyang Zhu, Jun Lin, Zhongfeng Wang	2018	116
4	Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis Journal of Biomedical Optics ·Huiping Lin, Hanshen Chen, Luxi Weng, Jiaqi Shao, Jun Lin	2021	101
5	Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer Siyuan Lu, Meiqi Wang, Shuang Liang, Jun Lin, Zhongfeng Wang	2020	85
6	Efficient Precision-Adjustable Architecture for Softmax Function in Deep Learning IEEE Transactions on Circuits & Systems II Express Briefs ·Danyang Zhu, Siyuan Lu, Meiqi Wang, Jun Lin, Zhongfeng Wang	2020	74
7	Accelerating Recurrent Neural Networks: A Memory-Efficient Approach IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Zhisheng Wang, Jun Lin, Zhongfeng Wang	2017	66
8	An Energy-Efficient Architecture for Binary Weight Convolutional Neural Networks IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Yizhi Wang, Jun Lin, Zhongfeng Wang	2017	60
9	Research on deep learning method for rail surface defect detection IET Electrical Systems in Transportation ·Jiang Feng, Hao Yuan, Yun Hu, Jun Lin, Shi Wang Liu, Xiao Luo	2020	56
10	A Deep Convolutional Neural Network for Detection of Rail Surface Defect Hao Yuan, Hao Chen, Shiwang Liu, Jun Lin, Xiao‐Jun Luo	2019	55
11	Efficient Decoder Design for Nonbinary Quasicyclic LDPC Codes IEEE Transactions on Circuits and Systems I Regular Papers ·Jun Lin, Jin Sha, Zhongfeng Wang, Li Li	2010	55
12	A Non-Uniformly Under-Sampled Blade Tip-Timing Signal Reconstruction Method for Blade Vibration Monitoring Sensors ·Zheng Hu, Jun Lin, Zhongsheng Chen, Yongmin Yang, Xuejun Li	2015	55
13	Real-Time Defect Detection of Track Components: Considering Class Imbalance and Subtle Difference Between Classes IEEE Transactions on Instrumentation and Measurement ·Zhenwei Tu, Songrong Wu, Gaoqiang Kang, Jun Lin	2021	52
14	E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Meiqi Wang, Zhisheng Wang, Jinming Lu, Jun Lin, Zhongfeng Wang	2019	49
15	An Efficient List Decoder Architecture for Polar Codes IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Jun Lin, Zhiyuan Yan	2015	48
16	CephaNet: An Improved Faster R-CNN for Cephalometric Landmark Detection Jiahong Qian, Ming Cheng, Yubo Tao, Jun Lin, Hai Lin	2019	44
17	An Efficient and Flexible Accelerator Design for Sparse Convolutional Neural Networks IEEE Transactions on Circuits and Systems I Regular Papers ·Xiaoru Xie, Jun Lin, Zhongfeng Wang, Jinghe Wei	2021	44
18	Symbol-Decision Successive Cancellation List Decoder for Polar Codes IEEE Transactions on Signal Processing ·Chenrong Xiong, Jun Lin, Zhiyuan Yan	2015	42
19	A High Throughput List Decoder Architecture for Polar Codes IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Jun Lin, Chenrong Xiong, Zhiyuan Yan	2015	41
20	Evaluations on Deep Neural Networks Training Using Posit Number System IEEE Transactions on Computers ·Jinming Lu, Chao Fang, Mingyang Xu, Jun Lin, Zhongfeng Wang	2020	41

About Jun Lin

Jun Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 157 papers that have together received 2.3k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (60 papers), Advanced Wireless Communication Techniques (52 papers), Advanced Neural Network Applications (29 papers), Cooperative Communication and Network Coding (26 papers), Coding theory and cryptography (19 papers), DNA and Biological Computing (16 papers), CCD and CMOS Imaging Sensors (10 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Computational Mathematics (25 citations), Hardware and Architecture (190 citations), Computer Vision and Pattern Recognition (565 citations), Computer Networks and Communications (589 citations) and Artificial Intelligence (650 citations). Jun Lin has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zhongfeng Wang, Zhiyuan Yan, Meiqi Wang, Siyuan Lu, Jichen Wang, Yongmin Yang, Zhongsheng Chen, Zheng Hu, Danyang Zhu and Hailong Xu. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Communications Letters and IEEE Access.

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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