Yung‐Hui Li

1.6k total citations · 1 hit paper
93 papers, 975 citations indexed

About

Yung‐Hui Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yung‐Hui Li has authored 93 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 35 papers in Signal Processing and 16 papers in Artificial Intelligence. Recurrent topics in Yung‐Hui Li's work include Biometric Identification and Security (26 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Face recognition and analysis (12 papers). Yung‐Hui Li is often cited by papers focused on Biometric Identification and Security (26 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Face recognition and analysis (12 papers). Yung‐Hui Li collaborates with scholars based in Taiwan, China and United States. Yung‐Hui Li's co-authors include Ching-Chun Chang, Marios Savvides, Kartika Purwandari, Chin‐Chen Chang, Yue‐Der Lin, Shih‐Jen Chen, Hong-Han Shuai, Jia‐Ching Wang, Wen-Huang Cheng and Yanjun Liu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Yung‐Hui Li

83 papers receiving 944 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.

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

2024 59 citations Hongxia Xie, Lai-Kuan Wong et al. ACM Computing Surveys profile →

Peers

Yung‐Hui Li

CVPR

SP

BE

CCM

IS

Lu Yang China

Jingang Shi China

Cemal Köse Türkiye

Mounîm A. El‐Yacoubi France

Žiga Emeršič Slovenia

Ahmed Sedik Egypt

Usman Akram Pakistan

P. Manimegalai India

A. Ahilan India

Lu Yang China

Yung‐Hui Li

492 ×1.4

CVPR

778 ×3.1

SP

70 ×0.3

BE

51 ×0.2

CCM

120 ×0.8

IS

Citations per year, relative to Yung‐Hui Li Yung‐Hui Li (= 1×) peers Lu Yang

Countries citing papers authored by Yung‐Hui Li

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Hui Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Hui Li. 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 Yung‐Hui Li. The network helps show where Yung‐Hui Li may publish in the future.

Co-authorship network of co-authors of Yung‐Hui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Hui Li. A scholar is included among the top collaborators of Yung‐Hui Li 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 Yung‐Hui Li. Yung‐Hui Li 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.

Chen, Zhisheng, et al.. (2025). A Hybrid Deep Learning and Feature Descriptor Approach for Partial Fingerprint Recognition. Electronics. 14(9). 1807–1807. 1 indexed citations

2.

Chen, Shih‐Lun, et al.. (2024). Audio Pre-Processing and Beamforming Implementation on Embedded Systems. Electronics. 13(14). 2784–2784. 1 indexed citations

3.

Lee, Dasheng, Xiwei Huang, Hsiang Chen, et al.. (2024). Thermal Comfort Model Established by Using Machine Learning Strategies Based on Physiological Parameters in Hot and Cold Environments. Indoor Air. 2024(1). 5 indexed citations

4.

Xie, Hongxia, et al.. (2024). Lightweight Deep Learning for Resource-Constrained Environments: A Survey. ACM Computing Surveys. 56(10). 1–42. 59 indexed citations breakdown →

5.

Su, Ming-Hsiang, et al.. (2024). Implementation of Sound Direction Detection and Mixed Source Separation in Embedded Systems. Sensors. 24(13). 4351–4351.

6.

Cao, Chengtai, Xinhong Chen, Jianping Wang, et al.. (2024). CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 20949–20957. 2 indexed citations

7.

Lin, Wei‐Yu, et al.. (2023). Temporal Difference-Aware Graph Convolutional Reinforcement Learning for Multi-Intersection Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems. 25(1). 327–337. 14 indexed citations

8.

Zhang, Yifan, et al.. (2023). TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 9(1). 2850–2863. 3 indexed citations

9.

Wang, Jia, Hong-Han Shuai, Yung‐Hui Li, & Hao‐Wen Cheng. (2023). Human–Object Interaction Detection: An Overview. IEEE Consumer Electronics Magazine. 13(6). 56–72. 2 indexed citations

10.

Wang, Jia, Hong-Han Shuai, Yung‐Hui Li, & Wen-Huang Cheng. (2023). Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–23. 7 indexed citations

11.

Kao, Chyuan Haur, Yaw‐Wen Kuo, Chia‐Feng Lin, et al.. (2022). Pre-diagnosis of Failure Spots in Orange AlInGaP Light-Emitting Diodes Soaked in Liquid Nitrogen Using Machine Vision and Multiple Optical, Electrical, and Material Characterizations. IEEE Transactions on Electron Devices. 69(8). 4386–4391. 1 indexed citations

12.

Wang, Jia, et al.. (2022). Referring Expression Comprehension Via Enhanced Cross-modal Graph Attention Networks. ACM Transactions on Multimedia Computing Communications and Applications. 19(2). 1–21. 14 indexed citations

13.

Lin, Chia‐Hsien, et al.. (2022). State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere. Sensors. 22(7). 2758–2758. 4 indexed citations

14.

Дмитриев, А. В., et al.. (2022). The Development of Spatial Attention U‐Net for the Recovery of Ionospheric Measurements and Extraction of Ionospheric Parameters. Radio Science. 57(8).

15.

Ku, Tien-Hsiung, et al.. (2022). A Novel Method for Baroreflex Sensitivity Estimation Using Modulated Gaussian Filter. Sensors. 22(12). 4618–4618. 1 indexed citations

16.

Li, Yung‐Hui, et al.. (2022). Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation. Sensors. 22(6). 2133–2133. 5 indexed citations

17.

Li, Yung‐Hui, et al.. (2021). Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net. Sensors. 21(4). 1434–1434. 30 indexed citations

18.

Дмитриев, А. В., et al.. (2021). Recovery of Ionospheric Signals Using Fully Convolutional DenseNet and Its Challenges. Sensors. 21(19). 6482–6482. 4 indexed citations

19.

Li, Yung‐Hui, et al.. (2020). Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model. Sensors. 20(19). 5606–5606. 105 indexed citations

20.

Chang, Chin‐Chen, et al.. (2020). Efficient QR Code Secret Embedding Mechanism Based on Hamming Code. IEEE Access. 8. 86706–86714. 21 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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