Ping-Yang Chen

5.4k total citations · 1 hit paper
22 papers, 3.5k citations indexed

About

Ping-Yang Chen is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Ping-Yang Chen has authored 22 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Ping-Yang Chen's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). Ping-Yang Chen is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). Ping-Yang Chen collaborates with scholars based in Taiwan, United Arab Emirates and United States. Ping-Yang Chen's co-authors include Jun-Wei Hsieh, Hong-Yuan Mark Liao, Chien-Yao Wang, I-Hau Yeh, Yueh-Hua Wu, Ming‐Ching Chang, Yong‐Sheng Chen, Jun‐Wei Hsieh, Munkhjargal Gochoo and Fady Alnajjar and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Artificial Intelligence.

In The Last Decade

Ping-Yang Chen

20 papers receiving 3.4k 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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping-Yang Chen Taiwan	9	2.1k	525	510	410	351	22	3.5k
Yueh-Hua Wu Taiwan	3	1.9k 0.9×	478 0.9×	487 1.0×	359 0.9×	336 1.0×	6	3.2k
I-Hau Yeh Taiwan	3	1.9k 0.9×	478 0.9×	487 1.0×	360 0.9×	312 0.9×	3	3.2k
Rongguang Ye China	4	2.3k 1.1×	645 1.2×	656 1.3×	417 1.0×	377 1.1×	5	3.7k
Zhaohui Zheng China	8	2.3k 1.1×	646 1.2×	680 1.3×	420 1.0×	409 1.2×	15	3.8k
Jun-Wei Hsieh Taiwan	17	2.6k 1.3×	597 1.1×	531 1.0×	559 1.4×	459 1.3×	44	4.2k
Peng Zheng China	5	2.0k 0.9×	368 0.7×	304 0.6×	426 1.0×	662 1.9×	5	3.6k
Jianyuan Guo China	15	2.9k 1.4×	472 0.9×	534 1.0×	646 1.6×	931 2.7×	22	4.6k
Dongwei Ren China	19	3.6k 1.7×	669 1.3×	676 1.3×	1.0k 2.5×	463 1.3×	49	5.2k
Zhong‐Qiu Zhao China	20	2.6k 1.2×	390 0.7×	322 0.6×	535 1.3×	964 2.7×	72	4.8k
Daquan Zhou China	11	2.8k 1.4×	559 1.1×	629 1.2×	740 1.8×	943 2.7×	29	4.9k

Countries citing papers authored by Ping-Yang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ping-Yang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping-Yang Chen. 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 Ping-Yang Chen. The network helps show where Ping-Yang Chen may publish in the future.

Co-authorship network of co-authors of Ping-Yang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ping-Yang Chen. A scholar is included among the top collaborators of Ping-Yang Chen 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 Ping-Yang Chen. Ping-Yang Chen 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

1.

Hsieh, Jun-Wei, et al.. (2024). SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5740–5748. 38 indexed citations

2.

Hsieh, Jun-Wei, et al.. (2023). SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14187–14195. 39 indexed citations

3.

Tsai, Chun-Ming, et al.. (2023). Video Analytics for Detecting Motorcyclist Helmet Rule Violations. 5366–5374. 7 indexed citations

4.

Chen, Ping-Yang, et al.. (2023). PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. 5477–5485. 3 indexed citations

5.

Chen, Ping-Yang, Ray‐Bing Chen, & Weng Kee Wong. (2023). Particle Swarm Optimization for Finding Efficient Longitudinal Exact Designs for Nonlinear Models. 299–313. 1 indexed citations

6.

Chen, Ping-Yang, Jun-Wei Hsieh, Ming‐Ching Chang, et al.. (2023). Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. 1855–1859. 1 indexed citations

7.

Hsieh, Jun-Wei, et al.. (2023). Mean-Shift Based Differentiable Architecture Search. IEEE Transactions on Artificial Intelligence. 5(3). 1235–1246. 3 indexed citations

8.

Gochoo, Munkhjargal, Jun-Wei Hsieh, Ming‐Ching Chang, et al.. (2023). FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. 5305–5313. 28 indexed citations

9.

Chen, Ping-Yang, Jun-Wei Hsieh, Munkhjargal Gochoo, & Yong‐Sheng Chen. (2022). Mixed Stage Partial Network and Background Data Augmentation for Surveillance Object Detection. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23533–23547. 2 indexed citations

10.

Hsieh, Jun-Wei, et al.. (2022). COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification. 2022 IEEE International Conference on Image Processing (ICIP). 3928–3932.

11.

Gochoo, Munkhjargal, Fady Alnajjar, Luqman Ali, et al.. (2022). SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection. Sensors. 22(6). 2315–2315. 38 indexed citations

12.

Chen, Ping-Yang, Jun-Wei Hsieh, Munkhjargal Gochoo, & Yong‐Sheng Chen. (2021). Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation. 3333–3337. 7 indexed citations

13.

Chen, Yung‐Chih, et al.. (2021). Towards Deep Learning-Based Sarcopenia Screening with Body Joint Composition Analysis. 3807–3811.

14.

Chen, Ping-Yang, Ming‐Ching Chang, Jun-Wei Hsieh, & Yong‐Sheng Chen. (2020). Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. arXiv (Cornell University). 79 indexed citations

15.

Wang, Chien-Yao, Hong-Yuan Mark Liao, Yueh-Hua Wu, et al.. (2020). CSPNet: A New Backbone that can Enhance Learning Capability of CNN. 1571–1580. 3149 indexed citations breakdown →

16.

Chen, Ping-Yang, Jun‐Wei Hsieh, Munkhjargal Gochoo, et al.. (2020). Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections. 1521–1525. 3 indexed citations

17.

Chen, Ping-Yang, Jun‐Wei Hsieh, Munkhjargal Gochoo, Chien-Yao Wang, & Hong-Yuan Mark Liao. (2019). Smaller Object Detection for Real-Time Embedded Traffic Flow Estimation Using Fish-Eye Cameras. 2956–2960. 16 indexed citations

18.

Wang, Chien-Yao, et al.. (2019). Real-Time Video-Based Person Re-Identification Surveillance with Light-Weight Deep Convolutional Networks. 1–8. 4 indexed citations

19.

Wang, Chien-Yao, Hong-Yuan Mark Liao, Ping-Yang Chen, & Jun‐Wei Hsieh. (2019). Enriching Variety of Layer-Wise Learning Information by Gradient Combination. 20 indexed citations

20.

Wang, Tianqi, et al.. (2018). An Android Malware Detection Method Based on Deep AutoEncoder. 88–93. 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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