Zaiyi Shen

21 papers receiving 397 citations

Peers

Zaiyi Shen
Comparison fields: 5 of 65
  • Fluid Flow and Transfer Processes 69
  • Condensed Matter Physics 123
  • Computational Mechanics 111
  • Pulmonary and Respiratory Medicine 166
  • Physiology 108
Replace Daiki Matsunaga with:
Daiki Matsunaga Japan
Alexis Darras Germany
Alexander Farutin France
Chenghai Sun United States
Michael M. Dupin United Kingdom
Marius Socol France
Vincent Doyeux France
Yu-Hau Tseng Taiwan
Johannes Mauer Germany
Guansheng Li United States
Zaiyi Shen relative to Daiki Matsunaga Japan Daiki Matsunaga's profile →
Citations per field
00.5×3.3×
Daiki Matsunaga · 1×
Citations per year

Countries citing papers authored by Zaiyi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zaiyi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 201850
3 201440
4 201836
5 201934
6 201726
7 201520
8 201819
9 201919
10 201914
11 202012
12 201212
13 202210
14 20208
15 20248
16 20238
17 20238
18 20236
19 20195
20 20252

About Zaiyi Shen

Zaiyi Shen is a scholar working on Pulmonary and Respiratory Medicine, Condensed Matter Physics, Physiology, Biomedical Engineering and Computational Mechanics, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Blood properties and coagulation (9 papers), Micro and Nano Robotics (8 papers), Erythrocyte Function and Pathophysiology (8 papers), Microfluidic and Bio-sensing Technologies (7 papers), Lattice Boltzmann Simulation Studies (5 papers), Rheology and Fluid Dynamics Studies (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Near-Field Optical Microscopy (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (69 citations), Condensed Matter Physics (123 citations), Computational Mechanics (111 citations), Pulmonary and Respiratory Medicine (166 citations) and Physiology (108 citations). Zaiyi Shen has collaborated with scholars based in France, China and Netherlands. Frequent co-authors include Chaouqi Misbah, Juho S. Lintuvuori, Aloïs Würger, Jens Harting, Ying He, Hengdi Zhang, Abdul I. Barakat, Alexander Farutin, Gwennou Coupier and Benoı̂t Polack. Their work appears in journals such as Physical Review Letters, Soft Matter, Physical Review Fluids, Microvascular Research and Chinese Physics Letters.

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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