Kai-Hung Chang
Impact in
- Architecture top 5%
- Architecture and Computational Design
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Robot Manipulation and Learning 3
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- Soft Robotics and Applications 3
- Co-authors
- Stelian Coros (4 shared papers)Chin-Yi Cheng (2 shared papers)James M. Bern (1 shared paper)Yasutaka Furukawa (1 shared paper)Nelson Nauata (1 shared paper)Hang Chu (1 shared paper)Nancy S. Pollard (3 shared papers)Jonathan P. King (3 shared papers)
- Journals
- Sensors (1 paper)ACM Transactions on Graphics (1 paper)Computers & Structures (1 paper)International Journal of Humanoid Robotics (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Kai-Hung Chang
8 papers receiving 219 citations
Peers
Comparison fields: 5 of 48
- Architecture 17
- Geology 31
- Computer Graphics and Computer-Aided Design 18
- Human-Computer Interaction 18
- Building and Construction 43
Countries citing papers authored by Kai-Hung Chang
This map shows the geographic impact of Kai-Hung 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 Kai-Hung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Hung Chang more than expected).
Fields of papers citing papers by Kai-Hung Chang
This network shows the impact of papers produced by Kai-Hung 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 Kai-Hung Chang. The network helps show where Kai-Hung Chang may publish in the future.
Co-authors
The 12 scholars most cited alongside Kai-Hung 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 | 2021 | 70 | |
| 2 | 2017 | 39 | |
| 3 | 2021 | 29 | |
| 4 | 2018 | 28 | |
| 5 | 2018 | 26 | |
| 6 | 2024 | 22 | |
| 7 | 2019 | 13 | |
| 8 | 2022 | 5 |
About Kai-Hung Chang
Kai-Hung Chang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computational Mechanics and Geology, having authored 8 papers that have together received 232 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (3 papers), Soft Robotics and Applications (3 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced Materials and Mechanics (1 paper), 3D Shape Modeling and Analysis (1 paper), Handwritten Text Recognition Techniques (1 paper), Advanced Measurement and Metrology Techniques (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Architecture (17 citations), Geology (31 citations), Computer Graphics and Computer-Aided Design (18 citations), Human-Computer Interaction (18 citations) and Building and Construction (43 citations). Kai-Hung Chang has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Stelian Coros, Chin-Yi Cheng, James M. Bern, Yasutaka Furukawa, Nelson Nauata, Hang Chu, Nancy S. Pollard, Jonathan P. King, Jieliang Luo and Chuin‐Shan Chen. Their work appears in journals such as Sensors, ACM Transactions on Graphics, Computers & Structures, International Journal of Humanoid Robotics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.