Jia-Wei Chang
- Environmental Engineering top 5%
- Health, Toxicology and Mutagenesis top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jen-Wei HuangJason C. HungMing-Che LeeNeil Y. YenDasheng LeeHairong WuJirui HouWenhao Shao
- Topics
- Enhanced Oil Recovery Techniques (8 papers)Pickering emulsions and particle stabilization (6 papers)Music and Audio Processing (5 papers)
In The Last Decade
Jia-Wei Chang
57 papers receiving 685 citations
Peers
Comparison fields: 5 of 119
- Environmental Engineering 185
- Health, Toxicology and Mutagenesis 145
- Artificial Intelligence 130
- Ocean Engineering 89
- Electrical and Electronic Engineering 83
Countries citing papers authored by Jia-Wei Chang
This map shows the geographic impact of Jia-Wei 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 Jia-Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia-Wei Chang more than expected).
Fields of papers citing papers by Jia-Wei Chang
This network shows the impact of papers produced by Jia-Wei 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 Jia-Wei Chang. The network helps show where Jia-Wei Chang may publish in the future.
Co-authorship network of co-authors of Jia-Wei Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Wei Chang. A scholar is included among the top collaborators of Jia-Wei 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 Jia-Wei Chang. Jia-Wei 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 | 5 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 33 | |
| 15 | 9 | |
| 16 | A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics. | 1 |
| 17 | Leveraging the Path Signature for Skeleton-based Human Action Recognition. | 18 |
| 18 | 8 | |
| 19 | Using grammar patterns to evaluate semantic similarity for short texts | 4 |
| 20 | A Corpus-Based Statistics-Oriented Transfer and Generation Model for Machine Translation | 2 |
About Jia-Wei Chang
Jia-Wei Chang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 58 papers that have together received 720 indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (8 papers), Pickering emulsions and particle stabilization (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Environmental Engineering (185 citations), Health, Toxicology and Mutagenesis (145 citations) and Automotive Engineering (82 citations). Jia-Wei Chang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Jen-Wei Huang, Jason C. Hung, Ming-Che Lee, Neil Y. Yen, Dasheng Lee, Hairong Wu, Jirui Hou, Wenhao Shao, G. Li and Ning Kang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Expert Systems with Applications and IEEE Access.
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.