Quan Shu

17 total papers · 453 total citations
16 papers, 388 citations indexed

About

Quan Shu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Quan Shu has authored 16 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 5 papers in Cognitive Neuroscience and 5 papers in Mechanical Engineering. Recurrent topics in Quan Shu's work include Advanced Sensor and Energy Harvesting Materials (10 papers), Tactile and Sensory Interactions (5 papers) and Advanced Materials and Mechanics (4 papers). Quan Shu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (10 papers), Tactile and Sensory Interactions (5 papers) and Advanced Materials and Mechanics (4 papers). Quan Shu collaborates with scholars based in China, United States and Sweden. Quan Shu's co-authors include Shouhu Xuan, Xinglong Gong, Jianpeng Wu, Li Ding, Tao Hu, Zhenbang Xu, Junshuo Zhang, Xiaokang He, Huaxia Deng and Shuai Liu and has published in prestigious journals such as Journal of Power Sources, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Quan Shu

16 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Quan Shu 281 114 94 84 84 16 388
Yuanzhuo Xiang 278 1.0× 83 0.7× 99 1.1× 35 0.4× 116 1.4× 12 414
Yichi Luo 328 1.2× 146 1.3× 155 1.6× 48 0.6× 59 0.7× 8 406
Pengcheng Zhu 235 0.8× 137 1.2× 66 0.7× 68 0.8× 99 1.2× 21 417
Siyi Xu 340 1.2× 51 0.4× 100 1.1× 54 0.6× 62 0.7× 11 412
Veenasri Vallem 340 1.2× 140 1.2× 111 1.2× 90 1.1× 134 1.6× 7 399
Song‐Ee Choi 261 0.9× 86 0.8× 38 0.4× 62 0.7× 123 1.5× 15 368
Heeseok Kang 234 0.8× 108 0.9× 46 0.5× 27 0.3× 71 0.8× 19 361
Tzu‐Li Liu 242 0.9× 77 0.7× 98 1.0× 25 0.3× 82 1.0× 12 339
Zhuolin Du 324 1.2× 61 0.5× 129 1.4× 109 1.3× 105 1.3× 14 410
Marco Volpi 275 1.0× 117 1.0× 93 1.0× 77 0.9× 121 1.4× 8 357

Countries citing papers authored by Quan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Shu. A scholar is included among the top collaborators of Quan Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Quan Shu. Quan Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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