Hualou Liang

4.6k citations
90 papers · 3.2k indexed · h-index 28
Topics
Neural dynamics and brain function (42 papers)Visual perception and processing mechanisms (25 papers)Blind Source Separation Techniques (21 papers)

In The Last Decade

Hualou Liang

86 papers receiving 3.1k citations

Peers

Hualou Liang
Comparison fields: 5 of 178
  • Cognitive Neuroscience 2.0k
  • Signal Processing 451
  • Artificial Intelligence 363
  • Cellular and Molecular Neuroscience 361
  • Radiology, Nuclear Medicine and Imaging 224
Replace J.P. Reilly with:
J.P. Reilly Canada
Zhe Chen United States
Henggui Zhang United Kingdom
Aiping Liu China
G. Edwards United Kingdom
Shannon L. Risacher United States
Bin Deng China
Liang Zou China
Anastasios Bezerianos Greece
Stefano Vassanelli Italy
Hualou Liang relative to J.P. Reilly Canada J.P. Reilly's profile →
Citations per field
00.5×1.5×2.1×
J.P. Reilly · 1×
Citations per year

Countries citing papers authored by Hualou Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hualou Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hualou Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hualou Liang. A scholar is included among the top collaborators of Hualou Liang 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 Hualou Liang. Hualou Liang 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 18
2 13
3 38
4 28
5 26
6 1
7 13
8
Biosignal Processing : Principles and Practices
8
9 69
10 43
11 2
12 6
13 141
14 73
15 4
16 22
17 19
18 108
19 467
20
Blind Signal Separation with a flexible non-linearity
1

About Hualou Liang

Hualou Liang is a scholar working on Cognitive Neuroscience, Signal Processing and Computational Mathematics, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (42 papers), Visual perception and processing mechanisms (25 papers) and Blind Source Separation Techniques (21 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Signal Processing (451 citations) and Health Informatics (37 citations). Hualou Liang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Steven L. Bressler, Mingzhou Ding, Weiming Yang, Meng Hu, Pascal Fries, Robert Desimone, Xin Niu, Elizabeth A. Buffalo, Wu Li and Qiu‐Hua Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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