Wei Chang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Epidemiology
- Media Technology top 10%
- Urban Studies top 5%
- Topics
- Face and Expression Recognition (8 papers)Sparse and Compressive Sensing Techniques (7 papers)Machine Learning and ELM (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Journal on Selected Areas in CommunicationsSensors
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Wei Chang
28 papers receiving 341 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 173
- Artificial Intelligence 167
- Epidemiology 54
- Media Technology 46
- Urban Studies 41
Countries citing papers authored by Wei Chang
This map shows the geographic impact of 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 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 Wei Chang more than expected).
Fields of papers citing papers by Wei Chang
This network shows the impact of papers produced by 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 Wei Chang. The network helps show where Wei Chang may publish in the future.
Co-authorship network of co-authors of Wei Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Chang. A scholar is included among the top collaborators of 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 Wei Chang. 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 | 1 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 91 | |
| 12 | 2 | |
| 13 | Research of GABP neural network based on principal component analysis | 1 |
| 14 | 26 | |
| 15 | 17 | |
| 16 | A novel spatio-temporal data analysis approach based on prospective support vector clustering | 4 |
| 17 | 15 | |
| 18 | 19 | |
| 19 | 4 | |
| 20 | 4 |
About Wei Chang
Wei Chang is a scholar working on Urban Studies, Transportation and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 351 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (173 citations) and Urban Studies (41 citations). Wei Chang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Feiping Nie, Xuelong Li, Rong Wang, Daniel Zeng, Zhanxuan Hu, Hsinchun Chen, Hsinchun Chen, Sheng Jin, Guanghui Li and Danyang Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal on Selected Areas in Communications and Sensors.
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.