Yuan Shen

544 citations
22 papers · 417 indexed · h-index 12

Impact in

Papers in

Yuan Shen

21 papers receiving 410 citations

Peers

Yuan Shen
Comparison fields: 5 of 52
  • Electronic, Optical and Magnetic Materials 247
  • Atomic and Molecular Physics, and Optics 131
  • Computer Networks and Communications 90
  • Statistical and Nonlinear Physics 39
  • Materials Chemistry 115
Replace José A. Moreno-Razo with:
José A. Moreno-Razo Mexico
William R. Heffner United States
Poonam Silotia India
В. Ф. Шабанов Russia
L. Lejček Czechia
S. V. Pasechnik Russia
M. Warenghem France
Sergey V. Malinin United States
Frank M. Leslie United Kingdom
S. Pirkl France
Yuan Shen relative to José A. Moreno-Razo Mexico José A. Moreno-Razo's profile →
Citations per field
00.5×3.8×
José A. Moreno-Razo · 1×
Citations per year

Countries citing papers authored by Yuan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20236
4 20231
5 202221
6 20228
7 20222
8 202114
9 202119
10 20218
11 202027
12 202024
13 20195
14 2019107
15 201914
16 201823
17 201745
18 201717
19 20169
20 201549

About Yuan Shen

Yuan Shen is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Networks and Communications, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 417 indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (13 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Micro and Nano Robotics (5 papers), Photochromic and Fluorescence Chemistry (3 papers), Nonlinear Photonic Systems (3 papers), Photonic Crystals and Applications (2 papers), Cellular Mechanics and Interactions (2 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (247 citations), Atomic and Molecular Physics, and Optics (131 citations), Computer Networks and Communications (90 citations), Statistical and Nonlinear Physics (39 citations) and Materials Chemistry (115 citations). Yuan Shen has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Ingo Dierking, Evan J. Reed, Lujian Chen, Sensen Li, Tingting Qi, Wensong Li, Qian Cui, Zhijie Chen, Yanchao Xu and Bigeng Chen. Their work appears in journals such as Soft Matter, Optics Express, Nature Communications, Physical Review Applied and Materials Advances.

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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