Hao Chai
Impact in
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
Papers in
-
- Structural Analysis and Optimization 8
-
- Tactile and Sensory Interactions 7
- Co-authors
- Huaping Wu (21 shared papers)Zheng Zhang (26 shared papers)Shaofei Jiang (22 shared papers)Min Sun (17 shared papers)Aiping Liu (8 shared papers)Ye Tian (5 shared papers)Ye Qiu (6 shared papers)Xiaobin Tang (4 shared papers)
In The Last Decade
Hao Chai
70 papers receiving 1.3k citations
Hao Chai's Hit Papers
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 283
- Biomedical Engineering 583
- Polymers and Plastics 178
- Civil and Structural Engineering 275
- Mechanical Engineering 361
Countries citing papers authored by Hao Chai
This map shows the geographic impact of Hao Chai'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 Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Chai more than expected).
Fields of papers citing papers by Hao Chai
This network shows the impact of papers produced by Hao Chai. 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 Chai. The network helps show where Hao Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Chai, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2019 | 109 | |
| 3 | 2022 | 67 | |
| 4 | 2015 | 64 | |
| 5 | 2021 | 60 | |
| 6 | Quantitative softness and texture bimodal haptic sensors for robotic clinical feature identification and intelligent picking Hit paper breakdown → | 2024 | 58 |
| 7 | 2015 | 54 | |
| 8 | 2020 | 49 | |
| 9 | 2021 | 42 | |
| 10 | 2021 | 42 | |
| 11 | 2015 | 40 | |
| 12 | 2020 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2022 | 32 | |
| 15 | 2010 | 31 | |
| 16 | 2024 | 30 | |
| 17 | 2023 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 2023 | 24 |
About Hao Chai
Hao Chai is a scholar working on Civil and Structural Engineering, Cognitive Neuroscience, Mechanical Engineering, Biomedical Engineering and Mechanics of Materials, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (8 papers), Aeroelasticity and Vibration Control (8 papers), Composite Structure Analysis and Optimization (8 papers), Structural Analysis and Optimization (8 papers), Tactile and Sensory Interactions (7 papers), Soft Robotics and Applications (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Landslides and related hazards (6 papers). The work is most often cited by research in Cognitive Neuroscience (283 citations), Biomedical Engineering (583 citations), Polymers and Plastics (178 citations), Civil and Structural Engineering (275 citations) and Mechanical Engineering (361 citations). Hao Chai has collaborated with scholars based in China, Thailand and Australia. Frequent co-authors include Huaping Wu, Zheng Zhang, Shaofei Jiang, Min Sun, Aiping Liu, Ye Tian, Ye Qiu, Xiaobin Tang, Yunlong Qiu and Wen‐An Zhang. Their work appears in journals such as Composite Structures, Smart Materials and Structures, Polymer Composites, The International Journal of Advanced Manufacturing Technology and Concurrent Engineering.
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.