Yu-Ding Lu
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Digital Media Forensic Detection
- Signal Processing top 5%
- Biometric Identification and Security
- Music and Audio Processing
Papers in
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- Speech and Audio Processing 5
- Music and Audio Processing 5
- Data Management and Algorithms 1
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- Speech Recognition and Synthesis 4
- Co-authors
- Ming–Hsuan Yang (2 shared papers)Hung-Yu Tseng (2 shared papers)Hsin-Ying Lee (2 shared papers)Jia‐Bin Huang (1 shared paper)Maneesh Singh (1 shared paper)Qi Mao (1 shared paper)Shang‐Hong Lai (1 shared paper)Shang-Ta Yang (1 shared paper)
- Journals
- Sensors (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu-Ding Lu
9 papers receiving 462 citations
Yu-Ding Lu's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 347
- Signal Processing 140
- Computer Graphics and Computer-Aided Design 23
- Transportation 43
- Media Technology 34
Countries citing papers authored by Yu-Ding Lu
This map shows the geographic impact of Yu-Ding Lu'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 Yu-Ding Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Ding Lu more than expected).
Fields of papers citing papers by Yu-Ding Lu
This network shows the impact of papers produced by Yu-Ding Lu. 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 Yu-Ding Lu. The network helps show where Yu-Ding Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Ding Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DRIT++: Diverse Image-to-Image Translation via Disentangled Representations Hit paper breakdown → | 2020 | 277 |
| 2 | 2022 | 97 | |
| 3 | 2016 | 54 | |
| 4 | 2018 | 15 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 9 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 2 | |
| 9 | Indonesia Selected Issues | 2017 | 1 |
About Yu-Ding Lu
Yu-Ding Lu is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Finance and Cognitive Neuroscience, having authored 9 papers that have together received 474 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers), Digital Media Forensic Detection (2 papers), Hearing Loss and Rehabilitation (1 paper), Data Management and Algorithms (1 paper), Face recognition and analysis (1 paper) and Global Financial Crisis and Policies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (347 citations), Signal Processing (140 citations), Computer Graphics and Computer-Aided Design (23 citations), Transportation (43 citations) and Media Technology (34 citations). Yu-Ding Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming–Hsuan Yang, Hung-Yu Tseng, Hsin-Ying Lee, Jia‐Bin Huang, Maneesh Singh, Qi Mao, Shang‐Hong Lai, Shang-Ta Yang, Yu Tsao and Kai‐Hsiang Chen. Their work appears in journals such as Sensors, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.