Chih‐Ting Liu
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Polymers and Plastics
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Shao‐Yi ChienJason D. AzoulayChih-Wei WuNaresh EeduguralaParamasivam MahalingavelarWei-Chih TuShang‐Hong LaiXiaodan Gu
- Topics
- Video Surveillance and Tracking Methods (7 papers)Advanced Neural Network Applications (6 papers)Organic Electronics and Photovoltaics (4 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Chih‐Ting Liu
27 papers receiving 263 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 118
- Electrical and Electronic Engineering 84
- Polymers and Plastics 62
- Biomedical Engineering 48
- Materials Chemistry 31
Countries citing papers authored by Chih‐Ting Liu
This map shows the geographic impact of Chih‐Ting 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 Chih‐Ting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Ting Liu more than expected).
Fields of papers citing papers by Chih‐Ting Liu
This network shows the impact of papers produced by Chih‐Ting 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 Chih‐Ting Liu. The network helps show where Chih‐Ting Liu may publish in the future.
Co-authorship network of co-authors of Chih‐Ting Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Ting Liu. A scholar is included among the top collaborators of Chih‐Ting 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 Chih‐Ting Liu. Chih‐Ting 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 | 1 | |
| 2 | 29 | |
| 3 | 22 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | Supervised Joint Domain Learning for Vehicle Re-Identification | 9 |
| 18 | 6 | |
| 19 | 33 | |
| 20 | A Kernel Redundancy Removing Policy for Convolutional Neural Network. | 1 |
About Chih‐Ting Liu
Chih‐Ting Liu is a scholar working on Computer Vision and Pattern Recognition, Polymers and Plastics and Surfaces, Coatings and Films, having authored 27 papers that have together received 265 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (6 papers) and Organic Electronics and Photovoltaics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Polymers and Plastics (62 citations) and Media Technology (19 citations). Chih‐Ting Liu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shao‐Yi Chien, Jason D. Azoulay, Chih-Wei Wu, Naresh Eedugurala, Paramasivam Mahalingavelar, Wei-Chih Tu, Shang‐Hong Lai, Xiaodan Gu, Yunfei Wang and Song Zhang. Their work appears in journals such as Advanced Materials, Chemistry of Materials and Advanced Functional Materials.
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.