Jun-Wei Hsieh

6.5k total citations · 1 hit paper
44 papers, 4.2k citations indexed

About

Jun-Wei Hsieh is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Jun-Wei Hsieh has authored 44 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Jun-Wei Hsieh's work include Video Surveillance and Tracking Methods (14 papers), Advanced Neural Network Applications (14 papers) and Autonomous Vehicle Technology and Safety (8 papers). Jun-Wei Hsieh is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Advanced Neural Network Applications (14 papers) and Autonomous Vehicle Technology and Safety (8 papers). Jun-Wei Hsieh collaborates with scholars based in Taiwan, United States and United Arab Emirates. Jun-Wei Hsieh's co-authors include Ping-Yang Chen, Hong-Yuan Mark Liao, Yueh-Hua Wu, Chien-Yao Wang, I-Hau Yeh, Wei-Fan Hu, Seung-Taek Yu, Kuo‐Chin Fan, Yung‐Sheng Chen and Ming‐Ching Chang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jun-Wei Hsieh

40 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

2020 3.1k citations Chien-Yao Wang, Hong-Yuan Mark Liao et al. profile →

Peers

Countries citing papers authored by Jun-Wei Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Jun-Wei Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Wei Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Wei Hsieh. A scholar is included among the top collaborators of Jun-Wei Hsieh 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 Jun-Wei Hsieh. Jun-Wei Hsieh 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

#	Work	Indexed citations
1	xLSTM-Based Urban Traffic Flow Prediction for Intelligent Transportation Governance 2025 ·Applied Sciences ·(unknown), Jih‐Sheng Chang, Jun-Wei Hsieh, (unknown), Wen‐Yi Chang	0
2	Scale-Aware Crowd Counting Network With Annotation Error Modeling 2025 ·IEEE Transactions on Image Processing ·(unknown), Jun-Wei Hsieh, Xin Li, Yuming Zhang, Yu‐Chee Tseng, Ming‐Ching Chang	0
3	Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yingyu Chen, Jun-Wei Hsieh, Xin Li, Ming‐Ching Chang	1
4	SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jun-Wei Hsieh, Ping-Yang Chen, Ming‐Ching Chang, H.C. So, Xin Li	38
5	SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jun-Wei Hsieh, Ping-Yang Chen, (unknown), (unknown)	39
6	Video Analytics for Detecting Motorcyclist Helmet Rule Violations 2023 ·Chun-Ming Tsai, Jun-Wei Hsieh, Ming‐Ching Chang, (unknown), Ping-Yang Chen, (unknown), (unknown)	7
7	Mixed Stage Partial Network and Background Data Augmentation for Surveillance Object Detection 2022 ·IEEE Transactions on Intelligent Transportation Systems ·Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Yong‐Sheng Chen	2
8	Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation 2021 ·Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Yong‐Sheng Chen	7
9	Towards Deep Learning-Based Sarcopenia Screening with Body Joint Composition Analysis 2021 ·Yung‐Chih Chen, Jun-Wei Hsieh, (unknown), Chien‐Hung Lee, (unknown), Ping-Yang Chen, (unknown)	0
10	Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection 2020 ·arXiv (Cornell University) ·Ping-Yang Chen, Ming‐Ching Chang, Jun-Wei Hsieh, Yong‐Sheng Chen	79
11	CSPNet: A New Backbone that can Enhance Learning Capability of CNN breakdown → 2020 ·Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh	3149
12	Novel IoT-Based Privacy-Preserving Yoga Posture Recognition System Using Low-Resolution Infrared Sensors and Deep Learning 2019 ·IEEE Internet of Things Journal ·Munkhjargal Gochoo, Tan-Hsu Tan, Shih-Chia Huang, (unknown), Jun-Wei Hsieh, Fady Alnajjar, Yung-Fu Chen	81
13	Vehicle orientation detection using vehicle color and normalized cut clustering 2007 ·(unknown), Jun-Wei Hsieh, (unknown), (unknown)	3
14	Edge-based Lane Change Detection and its Application to Suspicious Driving Behavior Analysis 2007 ·(unknown), Jun-Wei Hsieh	6
15	Determination and Kinetics of Producing Glucosamine Using Fungi 2007 ·Biotechnology Progress ·Jun-Wei Hsieh, Hongqiang Wu, Yuhong Wei, S.S. Wang	34
16	Automatic Traffic Surveillance System for Vehicle Tracking and Classification 2006 ·IEEE Transactions on Intelligent Transportation Systems ·Jun-Wei Hsieh, Seung-Taek Yu, (unknown), Wei-Fan Hu	321
17	Building a Remote Supervisory Control Network System for Smart Home Applications 2006 ·(unknown), Jun-Wei Hsieh, Cheng-Ting Lin, Chun‐Yu Chen	34
18	Fast stitching algorithm for moving object detection and mosaic construction 2003 ·Jun-Wei Hsieh	3
19	Wavelet-based shape from shading 2002 ·Jun-Wei Hsieh, H.-Y.M. Liao, Ming‐Tat Ko, Kuo‐Chin Fan	2
20	Wavelet-Based Shape from Shading 1995 ·Graphical Models and Image Processing ·Jun-Wei Hsieh, Hong-Yuan Mark Liao, Ming‐Tat Ko, Kuo‐Chin Fan	22

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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