Hao Chai

1.9k citations
74 papers · 1.5k · 1 hit paper · h-index 22

Impact in

Papers in

Hao Chai

72 papers receiving 1.5k citations

Hao Chai's Hit Papers

Quantitative softness and texture bimodal haptic sensors for robotic clinical feature identification and intelligent picking 2024 · 72 citations
720+1Years since publication204060

Peers

Hao Chai
Comparison fields: 5 of 111
  • Cognitive Neuroscience 274
  • Biomedical Engineering 619
  • Polymers and Plastics 188
  • Civil and Structural Engineering 290
  • Mechanical Engineering 376
Replace Yun Ling with:
Yun Ling United States
Antonio Elia Forte United Kingdom
Hyeonseok Kim South Korea
Yuxin Peng China
Shun Zhang China
Helmut F. Schlaak Germany
Li Ding China
Zhuoqing Yang China
Chu Ma United States
Shuang Nie China
Hao Chai relative to Yun Ling United States Yun Ling's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hao Chai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hao Chai Line = papers co-authored together Hao Chai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020193
2 2019115
3 201575
4 202273
5
Quantitative softness and texture bimodal haptic sensors for robotic clinical feature identification and intelligent picking
Hit paper breakdown →
202472
6 202162
7 201561
8 202053
9 201544
10 202144
11 202143
12 202035
13 202135
14 201034
15 202434
16 202233
17 201829
18 202027
19 202326
20 202326

About Hao Chai

Hao Chai is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials, Biomedical Engineering and Cognitive Neuroscience, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (8 papers), Structural Analysis and Optimization (8 papers), Aeroelasticity and Vibration Control (8 papers), Composite Structure Analysis and Optimization (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Soft Robotics and Applications (7 papers), Tactile and Sensory Interactions (7 papers) and Landslides and related hazards (6 papers). The work is most often cited by research in Cognitive Neuroscience (274 citations), Biomedical Engineering (619 citations), Polymers and Plastics (188 citations), Civil and Structural Engineering (290 citations) and Mechanical Engineering (376 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 Qiu, Ye Tian, Xiaobin Tang, Yunlong Qiu and Wen‐An Zhang. Their work appears in journals such as Composite Structures, Smart Materials and Structures, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Advanced Functional Materials 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.

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