Peng Qi

225 papers receiving 6.0k citations

Peng Qi's Hit Papers

Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey 2016 · 343 citations
3430+4+9Years since publication100200300400

Peers

Peng Qi
Comparison fields: 5 of 187
  • Geriatrics and Gerontology 295
  • Cellular and Molecular Neuroscience 1.0k
  • Control and Systems Engineering 860
  • Neurology 443
  • Biomedical Engineering 1.3k
Replace Markus Schubert with:
Markus Schubert Germany
Yue Wang China
Silvestro Micera Italy
Hongtao Wu China
Wei‐Yang Lu United States
Yongqing Zhang China
Pramod K. Dash United States
Jun Morimoto Japan
John L. Robinson United States
Seward B. Rutkove United States
Peng Qi relative to Markus Schubert Germany Markus Schubert's profile →
Citations per field
00.5×2×4×6×8.0×
Markus Schubert · 1×
Citations per year

Countries citing papers authored by Peng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dual arm manipulation—A survey
Hit paper breakdown →
2012449
2
Development of a novel energy-absorbing bolt with extraordinarily large elongation and constant resistance
Hit paper breakdown →
2014431
3
Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey
Hit paper breakdown →
2016343
4 2011303
5 2017275
6 2012189
7 2007155
8 2008122
9 2011117
10 2013111
11 2013108
12 2016103
13 2019101
14 2019101
15 201590
16 202187
17 202080
18 201778
19 200975
20 201673

About Peng Qi

Peng Qi is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Materials Chemistry and Cognitive Neuroscience, having authored 238 papers that have together received 6.1k indexed citations. Recurring topics across this work include Soft Robotics and Applications (29 papers), Genetic Neurodegenerative Diseases (19 papers), Aluminum Alloy Microstructure Properties (19 papers), Microstructure and mechanical properties (16 papers), Robot Manipulation and Learning (15 papers), Mitochondrial Function and Pathology (14 papers), Additive Manufacturing Materials and Processes (13 papers) and Functional Brain Connectivity Studies (12 papers). The work is most often cited by research in Geriatrics and Gerontology (295 citations), Cellular and Molecular Neuroscience (1.0k citations), Control and Systems Engineering (860 citations), Neurology (443 citations) and Biomedical Engineering (1.3k citations). Peng Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenzhen Duan, Christopher A. Ross, Mali Jiang, Kaspar A. Althoefer, Lazaros Nalpantidis, Christian Smith, Danica Kragić, Xavi Gratal, Yiannis Karayiannidis and Dimos V. Dimarogonas. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Materials Research and Technology, Frontiers in Aging Neuroscience, Journal of Alzheimer s Disease and Human Molecular Genetics.

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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