Chih-Chang Yu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Media Technology top 10%
- Co-authors
- Hsu-Yung ChengChun‐Hung Richard LinChih-Lung LinKuo‐Chin FanJenq–Neng HwangChien‐Cheng TsengBor-Shenn JengC. H. Arthur Cheng
- Topics
- Video Surveillance and Tracking Methods (11 papers)Human Pose and Action Recognition (7 papers)Photovoltaic System Optimization Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergy
- Partner nations
- TaiwanUnited States
In The Last Decade
Chih-Chang Yu
40 papers receiving 349 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 119
- Renewable Energy, Sustainability and the Environment 80
- Electrical and Electronic Engineering 77
- Media Technology 49
Countries citing papers authored by Chih-Chang Yu
This map shows the geographic impact of Chih-Chang Yu'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-Chang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Chang Yu more than expected).
Fields of papers citing papers by Chih-Chang Yu
This network shows the impact of papers produced by Chih-Chang Yu. 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-Chang Yu. The network helps show where Chih-Chang Yu may publish in the future.
Co-authorship network of co-authors of Chih-Chang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Chang Yu. A scholar is included among the top collaborators of Chih-Chang Yu 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-Chang Yu. Chih-Chang Yu 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 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | STEM-based Artificial Intelligence Learning in General Education for Non-Engineering Undergraduate Students | 45 |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 41 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 35 |
About Chih-Chang Yu
Chih-Chang Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 46 papers that have together received 363 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Human Pose and Action Recognition (7 papers) and Photovoltaic System Optimization Techniques (5 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (49 citations) and Computer Vision and Pattern Recognition (119 citations). Chih-Chang Yu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hsu-Yung Cheng, Chun‐Hung Richard Lin, Chih-Lung Lin, Kuo‐Chin Fan, Jenq–Neng Hwang, Chien‐Cheng Tseng, Bor-Shenn Jeng, C. H. Arthur Cheng, Chaur‐Heh Hsieh and Shao‐Yu Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy.
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.