Hao Dang
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 5%
Papers in
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- Soft Robotics and Applications 4
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- Robot Manipulation and Learning 13
- Co-authors
- Peter K. Allen (11 shared papers)Matei Ciocarlie (3 shared papers)Corey Goldfeder (2 shared papers)Fen Ran (5 shared papers)Xiangye Li (2 shared papers)Lu Wang (1 shared paper)Yihan Fu (1 shared paper)Dahui Wang (1 shared paper)
- Journals
- IEEE Transactions on Power Electronics (2 papers)Microchemical Journal (2 papers)Autonomous Robots (2 papers)International Journal of Heat and Mass Transfer (2 papers)Cancer Nanotechnology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Dang
42 papers receiving 1.3k citations
Hao Dang's Hit Papers
Peers
Comparison fields: 5 of 91
- Control and Systems Engineering 667
- Human-Computer Interaction 77
- Biomedical Engineering 450
- Automotive Engineering 103
- Cognitive Neuroscience 154
Countries citing papers authored by Hao Dang
This map shows the geographic impact of Hao Dang'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 Hao Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Dang more than expected).
Fields of papers citing papers by Hao Dang
This network shows the impact of papers produced by Hao Dang. 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 Hao Dang. The network helps show where Hao Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Dang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 249 | |
| 2 | Optimization strategies toward advanced aqueous zinc-ion batteries: From facing key issues to viable solutions Hit paper breakdown → | 2023 | 175 |
| 3 | 2022 | 123 | |
| 4 | 2013 | 94 | |
| 5 | 2009 | 72 | |
| 6 | 2012 | 58 | |
| 7 | 2018 | 54 | |
| 8 | 2012 | 54 | |
| 9 | 2011 | 53 | |
| 10 | 2020 | 42 | |
| 11 | 2023 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2014 | 27 | |
| 14 | 2010 | 26 | |
| 15 | 2013 | 23 | |
| 16 | 2018 | 23 | |
| 17 | 2023 | 22 | |
| 18 | 2019 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2023 | 15 |
About Hao Dang
Hao Dang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Materials Chemistry, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Thermal properties of materials (6 papers), Soft Robotics and Applications (4 papers), Tactile and Sensory Interactions (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Reinforcement Learning in Robotics (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Control and Systems Engineering (667 citations), Human-Computer Interaction (77 citations), Biomedical Engineering (450 citations), Automotive Engineering (103 citations) and Cognitive Neuroscience (154 citations). Hao Dang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peter K. Allen, Matei Ciocarlie, Corey Goldfeder, Fen Ran, Xiangye Li, Lu Wang, Yihan Fu, Dahui Wang, Xinbo Ruan and Xinze Huang. Their work appears in journals such as IEEE Transactions on Power Electronics, Microchemical Journal, Autonomous Robots, International Journal of Heat and Mass Transfer and Cancer Nanotechnology.
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.