Wan‐Jung Chang
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Automotive Engineering top 10%
- Co-authors
- Liang-Bi ChenChia-Hao HsuJian-Ping SuChing-Hsiang YangWei-Chien WangYu-Zung ChiouKatherine Shu-Min LiCheng‐Pei Lin
- Topics
- Autonomous Vehicle Technology and Safety (9 papers)IoT and GPS-based Vehicle Safety Systems (7 papers)Context-Aware Activity Recognition Systems (6 papers)
In The Last Decade
Wan‐Jung Chang
65 papers receiving 999 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 291
- Electrical and Electronic Engineering 201
- Cognitive Neuroscience 176
- Computer Networks and Communications 122
- Automotive Engineering 116
Countries citing papers authored by Wan‐Jung Chang
This map shows the geographic impact of Wan‐Jung 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 Wan‐Jung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Jung Chang more than expected).
Fields of papers citing papers by Wan‐Jung Chang
This network shows the impact of papers produced by Wan‐Jung 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 Wan‐Jung Chang. The network helps show where Wan‐Jung Chang may publish in the future.
Co-authorship network of co-authors of Wan‐Jung Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Jung Chang. A scholar is included among the top collaborators of Wan‐Jung 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 Wan‐Jung Chang. Wan‐Jung 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 | 93 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 17 | |
| 20 | 15 |
About Wan‐Jung Chang
Wan‐Jung Chang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), IoT and GPS-based Vehicle Safety Systems (7 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Health Informatics (56 citations), Computer Vision and Pattern Recognition (291 citations) and Human-Computer Interaction (76 citations). Wan‐Jung Chang has collaborated with scholars based in Taiwan, Australia and Japan. Frequent co-authors include Liang-Bi Chen, Chia-Hao Hsu, Jian-Ping Su, Ching-Hsiang Yang, Wei-Chien Wang, Yu-Zung Chiou, Katherine Shu-Min Li, Cheng‐Pei Lin, Haowei Wang and Taishiro Kishimoto. Their work appears in journals such as IEEE Access, IEEE Sensors Journal and Applied Sciences.
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.