Yu Qian

1.6k citations
104 papers · 1.2k indexed · h-index 20
Topics
Nonlinear Dynamics and Pattern Formation (35 papers)stochastic dynamics and bifurcation (25 papers)Neural dynamics and brain function (23 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Yu Qian

99 papers receiving 1.1k citations

Peers

Yu Qian
Comparison fields: 5 of 134
  • Statistical and Nonlinear Physics 394
  • Computer Networks and Communications 360
  • Cognitive Neuroscience 305
  • Biomedical Engineering 169
  • Control and Systems Engineering 160
Replace James She with:
James She Hong Kong
Gennaro Cordasco Italy
Hendrik Richter Germany
Nenggang Xie China
Stefano Ferretti Italy
Hongjun Cao China
Yanqing Hu China
Rong Liu China
Thomas Schlegel Germany
Yu Qian relative to James She Hong Kong James She's profile →
Citations per field
00.5×5.7×
James She · 1×
Citations per year

Countries citing papers authored by Yu Qian

Since Specialization
Citations

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

Fields of papers citing papers by Yu Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Qian. A scholar is included among the top collaborators of Yu Qian 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 Yu Qian. Yu Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 3
4 0
5 9
6 1
7 0
8 1
9 18
10 3
11 6
12 11
13 4
14 63
15
Public opinion analysis based on probabilistic topic modeling and deep learning
3
16 1
17
Impressionistic Music Features in Chinese Piano Works
2
18 13
19 10
20 73

About Yu Qian

Yu Qian is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (35 papers), stochastic dynamics and bifurcation (25 papers) and Neural dynamics and brain function (23 papers). The work is most often cited by research in Statistical and Nonlinear Physics (394 citations), Computer Networks and Communications (360 citations) and Cognitive Neuroscience (305 citations). Yu Qian has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Liang, Hua Yuan, Guang Hu, Xuhong Liao, Xiaodong Huang, Chenggui Yao, Yuanyuan Mi, Qiongwei Ye, Junjie Gong and Zhigang Zheng. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Materials Chemistry A.

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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