Chung-Ching Lin
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Sharathchandra PankantiAleksandr Y. AravkinKarthikeyan Natesan RamamurthyKevin LinLijuan WangLinjie LiZicheng LiuZhe Gan
- Topics
- Radio Frequency Integrated Circuit Design (14 papers)Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (9 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Microwave Theory and TechniquesIBM Journal of Research and Development
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Chung-Ching Lin
49 papers receiving 764 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 563
- Aerospace Engineering 196
- Electrical and Electronic Engineering 169
- Artificial Intelligence 109
- Biomedical Engineering 34
Countries citing papers authored by Chung-Ching Lin
This map shows the geographic impact of Chung-Ching Lin'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 Chung-Ching Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Ching Lin more than expected).
Fields of papers citing papers by Chung-Ching Lin
This network shows the impact of papers produced by Chung-Ching Lin. 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 Chung-Ching Lin. The network helps show where Chung-Ching Lin may publish in the future.
Co-authorship network of co-authors of Chung-Ching Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Ching Lin. A scholar is included among the top collaborators of Chung-Ching Lin 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 Chung-Ching Lin. Chung-Ching Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioningbreakdown → | 166 |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 45 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 237 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 18 |
About Chung-Ching Lin
Chung-Ching Lin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology, having authored 55 papers that have together received 788 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (14 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (563 citations), Aerospace Engineering (196 citations) and Artificial Intelligence (109 citations). Chung-Ching Lin has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Sharathchandra Pankanti, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Kevin Lin, Lijuan Wang, Linjie Li, Zicheng Liu, Zhe Gan, Subhanshu Gupta and Faisal Ahmed. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques and IBM Journal of Research and Development.
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.