Peng Chang
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- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 5
- Signal Processing top 10%
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 9
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- Autonomous Vehicle Technology and Safety 3
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- Robot Manipulation and Learning 4
- Robotic Mechanisms and Dynamics 4
- Machine Fault Diagnosis Techniques 3
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- Soft Robotics and Applications 3
- Co-authors
- Martial HebertMei HanYihong GongTed CamusJayan EledathTaşkın PadırRobert A. MacLachlanB. Southall
- 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
- Signal Processing 80
- Instrumentation 18
- Aerospace Engineering 119
- Automotive Engineering 54
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
The 25 scholars most cited alongside Peng Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 12 | |
| 13 | Application of Regression Algorithm of LS-SVM in Tool Wear Prediction | 2015 | 3 |
| 14 | 2009 | 88 | |
| 15 | 2008 | 19 | |
| 16 | 2008 | 8 | |
| 17 | 2006 | 18 | |
| 18 | 2003 | 106 | |
| 19 | 2002 | 13 | |
| 20 | 2000 | 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), Video Surveillance and Tracking Methods (5 papers), Robot Manipulation and Learning (4 papers), Robotic Mechanisms and Dynamics (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Machine Fault Diagnosis Techniques (3 papers) and Soft Robotics and Applications (3 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.
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.