Zaiyi Shen

21 papers receiving 415 citations

Peers

Zaiyi Shen
Comparison fields: 5 of 63
  • Condensed Matter Physics 132
  • Fluid Flow and Transfer Processes 68
  • Pulmonary and Respiratory Medicine 167
  • Computational Mechanics 113
  • Physiology 108
Replace Daiki Matsunaga with:
Daiki Matsunaga Japan
Alexis Darras Germany
Alexander Farutin France
Lothar Schmid Germany
Badr Kaoui France
Gerrit Danker France
Marius Socol France
Chenghai Sun United States
Michael M. Dupin United Kingdom
Vincent Doyeux France
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 201567
2 201853
3 201442
4 201836
5 201934
6 201726
7 201521
8 201920
9 201819
10 201914
11 202012
12 201212
13 202410
14 202010
15 202210
16 20239
17 20238
18 20237
19 20196
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 420 indexed citations. Recurring topics across this work include Blood properties and coagulation (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Micro and Nano Robotics (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 Pickering emulsions and particle stabilization (2 papers). The work is most often cited by research in Condensed Matter Physics (132 citations), Fluid Flow and Transfer Processes (68 citations), Pulmonary and Respiratory Medicine (167 citations), Computational Mechanics (113 citations) and Physiology (108 citations). Zaiyi Shen has collaborated with scholars based in France, China and Netherlands. Frequent co-authors include Juho S. Lintuvuori, Chaouqi Misbah, Aloïs Würger, Jens Harting, Marine Thiébaud, Ying He, Hengdi Zhang, Brenna Hogan, Abdul I. Barakat and Badr Kaoui. Their work appears in journals such as Physical Review Letters, Microvascular Research, Soft Matter, Physical Review Fluids 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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