Peng Chang
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Martial HebertMei HanYihong GongTed CamusJayan EledathTaşkın PadırRobert A. MacLachlanB. Southall
- Topics
- Robotics and Sensor-Based Localization (9 papers)Advanced Vision and Imaging (6 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Sensors JournalInternational Journal of Applied Earth Observation and Geoinformation
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Peng Chang
25 papers receiving 441 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 290
- Aerospace Engineering 119
- Control and Systems Engineering 84
- Signal Processing 80
- Artificial Intelligence 69
Countries citing papers authored by Peng Chang
This map shows the geographic impact of Peng 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 Peng Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Chang more than expected).
Fields of papers citing papers by Peng Chang
This network shows the impact of papers produced by Peng 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 Peng Chang. The network helps show where Peng Chang may publish in the future.
Co-authorship network of co-authors of Peng Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Chang. A scholar is included among the top collaborators of Peng 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 Peng Chang. Peng 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 | 0 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | Application of Regression Algorithm of LS-SVM in Tool Wear Prediction | 3 |
| 14 | 88 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 18 | |
| 18 | 106 | |
| 19 | 13 | |
| 20 | 2 |
About Peng Chang
Peng Chang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 29 papers that have together received 463 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Signal Processing (80 citations) and Instrumentation (18 citations). Peng Chang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Martial Hebert, Mei Han, Yihong Gong, Ted Camus, Jayan Eledath, Taşkın Padır, Robert A. MacLachlan, B. Southall, Zhihui Tian and Faye Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Journal and International Journal of Applied Earth Observation and Geoinformation.
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.