Yung-Ju Chang
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 1%
- Information Systems and Management top 2%
- Sociology and Political Science top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Yen-Chen LinHsien-Tzu ChengMin SunHou-Ning HuJohn TangKuan‐Wen ChenMing-Yu LiuHao-Ping Lee
- Topics
- Personal Information Management and User Behavior (37 papers)Impact of Technology on Adolescents (16 papers)Usability and User Interface Design (14 papers)
- Cited by
- Human-Computer InteractionInformation Systems and ManagementComputer Vision and Pattern Recognition
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Yung-Ju Chang
69 papers receiving 952 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 330
- Human-Computer Interaction 329
- Information Systems and Management 245
- Sociology and Political Science 160
- Cognitive Neuroscience 140
Countries citing papers authored by Yung-Ju Chang
This map shows the geographic impact of Yung-Ju Chang'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 Yung-Ju Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung-Ju Chang more than expected).
Fields of papers citing papers by Yung-Ju Chang
This network shows the impact of papers produced by Yung-Ju Chang. 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 Yung-Ju Chang. The network helps show where Yung-Ju Chang may publish in the future.
Co-authorship network of co-authors of Yung-Ju Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Ju Chang. A scholar is included among the top collaborators of Yung-Ju Chang 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 Yung-Ju Chang. Yung-Ju Chang 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 60 | |
| 18 | 2 | |
| 19 | 97 | |
| 20 | 20 |
About Yung-Ju Chang
Yung-Ju Chang is a scholar working on Information Systems and Management, Human-Computer Interaction and Computer Science Applications, having authored 76 papers that have together received 992 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (37 papers), Impact of Technology on Adolescents (16 papers) and Usability and User Interface Design (14 papers). The work is most often cited by research in Human-Computer Interaction (329 citations), Information Systems and Management (245 citations) and Computer Vision and Pattern Recognition (330 citations). Yung-Ju Chang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Yen-Chen Lin, Hsien-Tzu Cheng, Min Sun, Hou-Ning Hu, John Tang, Kuan‐Wen Chen, Ming-Yu Liu, Hao-Ping Lee, Mark Newman and Mandakini Paruthi. Their work appears in journals such as Scientific Reports, New Media & Society and IEEE Transactions on Multimedia.
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.