Zhichun Shao

1.3k citations
25 papers · 1.1k indexed · 1 hit paper · h-index 12

Zhichun Shao

24 papers receiving 1.1k citations

Hit Papers

Insect-scale fast moving and ultrarobust soft robot4092019202620212023100200300400

Peers

Zhichun Shao
Comparison fields: 5 of 68
  • Condensed Matter Physics 250
  • Biomedical Engineering 900
  • Mechanical Engineering 427
  • Cognitive Neuroscience 159
  • Polymers and Plastics 106
Replace Yichuan Wu with:
Yichuan Wu China
Chu Ma United States
Steven Rich United States
Aniket Pal United States
Rishabh Mishra India
Michelle C. Yuen United States
Tess Hellebrekers United States
Chongjing Cao China
Hongbo Wang China
Jae‐Kang Kim South Korea
Zhichun Shao relative to Yichuan Wu China Yichuan Wu's profile →
Citations per field
00.5×
Yichuan Wu · 1×
Citations per year

Countries citing papers authored by Zhichun Shao

Since Specialization
Citations

This map shows the geographic impact of Zhichun Shao'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 Zhichun Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhichun Shao more than expected).

Fields of papers citing papers by Zhichun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhichun Shao. 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 Zhichun Shao. The network helps show where Zhichun Shao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Zhichun Shao, 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 Zhichun Shao Line = papers co-authored together Zhichun Shao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20227
4 202210
5 202131
6 202148
7 2021133
8 202122
9 20219
10 202111
11 202117
12 202050
13 202010
14 202011
15
Insect-scale fast moving and ultrarobust soft robotbreakdown →
2019409
16 20193
17 20181
18 2018218
19 20182
20
[Cryotherapy for low-back pain].
19921

About Zhichun Shao

Zhichun Shao is a scholar working on Biomedical Engineering, Human-Computer Interaction and Bioengineering, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Acoustic Wave Resonator Technologies (3 papers), Micro and Nano Robotics (3 papers), Tactile and Sensory Interactions (3 papers), Modular Robots and Swarm Intelligence (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Condensed Matter Physics (250 citations), Biomedical Engineering (900 citations) and Mechanical Engineering (427 citations). Zhichun Shao has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Liwei Lin, Junwen Zhong, Jiaming Liang, Xiaohao Wang, Min Zhang, Yichuan Wu, Justin K. Yim, Mingjing Qi, Ronald S. Fearing and Xiaojun Yan. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Scientific Reports.

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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