Liyuan Li

565 citations
27 papers · 372 indexed · h-index 10
Topics
Functional Brain Connectivity Studies (7 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers)Neural dynamics and brain function (4 papers)

In The Last Decade

Liyuan Li

24 papers receiving 356 citations

Peers

Liyuan Li
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 160
  • Cognitive Neuroscience 144
  • Experimental and Cognitive Psychology 79
  • Radiology, Nuclear Medicine and Imaging 32
  • Electrical and Electronic Engineering 25
Replace Haixia Long with:
Haixia Long China
Jianfeng Wu United States
Haifang Li China
Zafer İşcan Türkiye
Qunjie Zhou Germany
Saime Akdemir Akar Türkiye
Torsten Butz Switzerland
Xiaodong Zhang China
Hongye Wang China
Chen Xia China
Liyuan Li relative to Haixia Long China Haixia Long's profile →
Citations per field
00.5×10×12.5×
Haixia Long · 1×
Citations per year

Countries citing papers authored by Liyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Liyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Liyuan Li. A scholar is included among the top collaborators of Liyuan Li 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 Liyuan Li. Liyuan Li 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 2
3 0
4 4
5 1
6 15
7 10
8 7
9 3
10 20
11 4
12 1
13 73
14 17
15 19
16
Automating the Visual Inspection of Aircraft
2
17 1
18
Design of a Simple Digital Signal Transmission Performance Analyzer
0
19 109
20 12

About Liyuan Li

Liyuan Li is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 27 papers that have together received 372 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Cognitive Neuroscience (144 citations) and Experimental and Cognitive Psychology (79 citations). Liyuan Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Irene Yu‐Hua Gu, Qi Tian, Weimin Huang, Zongling He, Huafu Chen, Weimin Huang, Yan Zhou, Qian Cui, M.K.H. Leung and Xujun Duan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Cerebral Cortex and Optics Express.

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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