Yen‐Cheng Liu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Zsolt KiraYu-Chiang Frank WangChih‐Yao MaJunjiao TianAlexander H. LiuPo‐Yi ChenYu-Ying YehMargaret A. Brimble
- Topics
- Advanced Neural Network Applications (6 papers)Marine Toxins and Detection Methods (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Partner nations
- TaiwanUnited StatesSwitzerland
In The Last Decade
Yen‐Cheng Liu
37 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 648
- Artificial Intelligence 283
- Media Technology 141
- Biomedical Engineering 128
- Aerospace Engineering 122
Countries citing papers authored by Yen‐Cheng Liu
This map shows the geographic impact of Yen‐Cheng Liu'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 Yen‐Cheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Cheng Liu more than expected).
Fields of papers citing papers by Yen‐Cheng Liu
This network shows the impact of papers produced by Yen‐Cheng Liu. 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 Yen‐Cheng Liu. The network helps show where Yen‐Cheng Liu may publish in the future.
Co-authorship network of co-authors of Yen‐Cheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Cheng Liu. A scholar is included among the top collaborators of Yen‐Cheng Liu 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 Yen‐Cheng Liu. Yen‐Cheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 53 | |
| 5 | 81 | |
| 6 | Cross-Domain Adaptive Teacher for Object Detectionbreakdown → | 139 |
| 7 | 11 | |
| 8 | 139 | |
| 9 | 4 | |
| 10 | 100 | |
| 11 | 15 | |
| 12 | 157 | |
| 13 | 8 | |
| 14 | 34 | |
| 15 | 67 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 58 | |
| 20 | 2 |
About Yen‐Cheng Liu
Yen‐Cheng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Environmental Chemistry, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Marine Toxins and Detection Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (648 citations), Media Technology (141 citations) and Artificial Intelligence (283 citations). Yen‐Cheng Liu has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Zsolt Kira, Yu-Chiang Frank Wang, Chih‐Yao Ma, Junjiao Tian, Alexander H. Liu, Po‐Yi Chen, Yu-Ying Yeh, Margaret A. Brimble, Jonathan Sperry and Chia-Wen Kuo. Their work appears in journals such as Biosensors and Bioelectronics, Advanced Science and Sustainability.
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.