Chang Wang
Impact in
-
- Robotic Path Planning Algorithms
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Robotic Mechanisms and Dynamics 8
- Advanced Sensor and Control Systems 8
-
- Reinforcement Learning in Robotics 20
- Co-authors
- Sridhar Mahadevan (5 shared papers)Chao Yan (11 shared papers)Xiaojia Xiang (11 shared papers)Gordon W. Cheung (1 shared paper)Lincheng Shen (6 shared papers)Xiangke Wang (6 shared papers)Wei Yuan (1 shared paper)Rui Fu (1 shared paper)
- Journals
- Mechanism and Machine Theory (5 papers)IEEE Access (4 papers)Annals of Nuclear Energy (4 papers)Drones (3 papers)Sensors (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chang Wang
169 papers receiving 2.3k citations
Chang Wang's Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 663
- Automotive Engineering 304
- Aerospace Engineering 609
- Control and Systems Engineering 451
- Artificial Intelligence 623
Countries citing papers authored by Chang Wang
This map shows the geographic impact of Chang Wang'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 Chang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Wang more than expected).
Fields of papers citing papers by Chang Wang
This network shows the impact of papers produced by Chang Wang. 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 Chang Wang. The network helps show where Chang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Current Approaches for Assessing Convergent and Discriminant Validity with SEM: Issues and Solutions Hit paper breakdown → | 2017 | 242 |
| 2 | 2019 | 223 | |
| 3 | 2008 | 176 | |
| 4 | 2015 | 124 | |
| 5 | Manifold alignment without correspondence | 2009 | 108 |
| 6 | 2021 | 71 | |
| 7 | 2019 | 60 | |
| 8 | 2020 | 58 | |
| 9 | 2017 | 57 | |
| 10 | 2023 | 48 | |
| 11 | 2023 | 46 | |
| 12 | 2020 | 45 | |
| 13 | 2019 | 42 | |
| 14 | 2012 | 41 | |
| 15 | 2013 | 33 | |
| 16 | 2018 | 30 | |
| 17 | 2023 | 29 | |
| 18 | 2020 | 29 | |
| 19 | Relation Extraction with Relation Topics | 2011 | 26 |
| 20 | 2014 | 25 |
About Chang Wang
Chang Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 193 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (20 papers), Robotic Path Planning Algorithms (19 papers), Distributed Control Multi-Agent Systems (13 papers), UAV Applications and Optimization (11 papers), Robotic Mechanisms and Dynamics (8 papers), Autonomous Vehicle Technology and Safety (8 papers), Advanced Sensor and Control Systems (8 papers) and Traffic and Road Safety (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (663 citations), Automotive Engineering (304 citations), Aerospace Engineering (609 citations), Control and Systems Engineering (451 citations) and Artificial Intelligence (623 citations). Chang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sridhar Mahadevan, Chao Yan, Xiaojia Xiang, Gordon W. Cheung, Lincheng Shen, Xiangke Wang, Wei Yuan, Rui Fu, Yingshi Guo and Yifeng Niu. Their work appears in journals such as Mechanism and Machine Theory, IEEE Access, Annals of Nuclear Energy, Drones 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.