S. Xian

745 citations
54 papers · 391 · h-index 12

Impact in

Papers in

S. Xian

48 papers receiving 360 citations

Peers

S. Xian
Comparison fields: 5 of 52
  • Statistical and Nonlinear Physics 176
  • Computer Networks and Communications 134
  • Ceramics and Composites 26
  • Cognitive Neuroscience 62
  • Materials Chemistry 124
Replace Akihisa Ichiki with:
Akihisa Ichiki Japan
Guojian Yang China
A. Löfgren Sweden
Nauzer Kalyaniwalla United States
Saurish Chakrabarty United States
Andreas Sorge Germany
Pablo I. R. Pincheira Brazil
Kang-Hun Ahn South Korea
Jing-Yuan Ko Taiwan
Lev A. Smirnov Russia
S. Xian relative to Akihisa Ichiki Japan Akihisa Ichiki's profile →
Citations per field
00.5×3.5×
Akihisa Ichiki · 1×
Citations per year

Countries citing papers authored by S. Xian

Since Specialization
Citations

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

Fields of papers citing papers by S. Xian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201343
2 201443
3 202034
4 199827
5 200526
6 201021
7 200418
8 199717
9 199516
10 201415
11 200614
12 200811
13 201811
14 201010
15 20119
16 20006
17 20235
18 20135
19 20155
20 20114

About S. Xian

S. Xian is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 391 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), Chaos control and synchronization (16 papers), stochastic dynamics and bifurcation (11 papers), Quantum chaos and dynamical systems (11 papers), Neural dynamics and brain function (11 papers), Theoretical and Computational Physics (6 papers), Neural Networks and Reservoir Computing (5 papers) and Quantum and electron transport phenomena (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (176 citations), Computer Networks and Communications (134 citations), Ceramics and Composites (26 citations), Cognitive Neuroscience (62 citations) and Materials Chemistry (124 citations). S. Xian has collaborated with scholars based in China, United States and Puerto Rico. Frequent co-authors include Da-Ren He, Huaiwu Zhang, Lin Cheng, Michael R. Geller, Peng Liu, Ying‐Cheng Lai, Junjie Jiang, A. N. Cleland, Chun Zhang and Huaguang Gu. Their work appears in journals such as Chinese Physics Letters, Physics Letters A, Physical review. E, Physical Review B and Journal of Nanoscience and Nanotechnology.

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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