Ming-Fang Chang
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety 2
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- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 2
- Advanced Neural Network Applications 2
- Building and Construction top 5%
- Geology top 10%
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- Robotics and Sensor-Based Localization 4
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- Assistive Technology in Communication and Mobility 2
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- Remote Sensing and LiDAR Applications 2
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- Robotics and Automated Systems 1
- Co-authors
- Simon LuceyAndrew T. HartnettJagjeet SinghJames HaysPeter CarrDeva RamananSławomir BąkWang De
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- BMC Geriatrics (1 paper)Journal of Integrated Care (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Ming-Fang Chang
11 papers receiving 978 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Automotive Engineering 579
- Computer Vision and Pattern Recognition 570
- Safety, Risk, Reliability and Quality 134
- Building and Construction 151
- Geology 48
Countries citing papers authored by Ming-Fang Chang
This map shows the geographic impact of Ming-Fang 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 Ming-Fang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Fang Chang more than expected).
Fields of papers citing papers by Ming-Fang Chang
This network shows the impact of papers produced by Ming-Fang 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 Ming-Fang Chang. The network helps show where Ming-Fang Chang may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Ming-Fang 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 | 2023 | 0 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 3 | |
| 5 | Argoverse: 3D Tracking and Forecasting With Rich Mapsbreakdown → | 2019 | 882 |
| 6 | 2017 | 5 | |
| 7 | 2016 | 3 | |
| 8 | Design and implementation of an active robotic walker for Parkinson's patients | 2012 | 14 |
| 9 | 2012 | 34 | |
| 10 | 2011 | 6 | |
| 11 | 2011 | 29 | |
| 12 | 2010 | 24 |
About Ming-Fang Chang
Ming-Fang Chang is a scholar working on Occupational Therapy, Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation, Human-Computer Interaction and Automotive Engineering, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Assistive Technology in Communication and Mobility (2 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Neural Network Applications (2 papers) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Automotive Engineering (579 citations), Computer Vision and Pattern Recognition (570 citations), Safety, Risk, Reliability and Quality (134 citations), Building and Construction (151 citations) and Geology (48 citations). Ming-Fang Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Simon Lucey, Andrew T. Hartnett, Jagjeet Singh, James Hays, Peter Carr, Deva Ramanan, Sławomir Bąk, Wang De, John Lambert and Patsorn Sangkloy. Their work appears in journals such as BMC Geriatrics, Journal of Integrated Care, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and Society of Instrument and Control Engineers of Japan.
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.