Hanjun Liu

3.1k citations
116 papers · 2.4k · h-index 26

Impact in

Papers in

Hanjun Liu

106 papers receiving 2.3k citations

Peers

Hanjun Liu
Comparison fields: 5 of 114
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 749
  • Physiology 441
  • Signal Processing 168
  • Sensory Systems 65
Replace Douglas M. Shiller with:
Douglas M. Shiller Canada
Theresa A. Burnett United States
Michel Hoen France
Alexander Gutschalk Germany
Shigeru Kiritani Japan
Cara E. Stepp United States
Kimitaka Kaga Japan
Mark Tiede United States
Melanie L. Matthies United States
Martin Georg Bleichner Germany
Hanjun Liu relative to Douglas M. Shiller Canada Douglas M. Shiller's profile →
Citations per field
00.5×2×3×4.2×
Douglas M. Shiller · 1×
Citations per year

Countries citing papers authored by Hanjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hanjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007139
2 2009121
3 2008112
4 2007109
5 201295
6 201088
7 201075
8 201667
9 200766
10 201365
11 201956
12 201247
13 200643
14 201742
15 201039
16 201539
17 201136
18 202035
19 201935
20 201034

About Hanjun Liu

Hanjun Liu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Physiology, Neurology and Signal Processing, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (39 papers), Phonetics and Phonology Research (30 papers), Voice and Speech Disorders (15 papers), Hearing Loss and Rehabilitation (15 papers), Neurobiology of Language and Bilingualism (13 papers), Neural dynamics and brain function (11 papers), Speech Recognition and Synthesis (11 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (749 citations), Physiology (441 citations), Signal Processing (168 citations) and Sensory Systems (65 citations). Hanjun Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Charles R. Larson, Roozbeh Behroozmand, Jeffery A. Jones, Emily Wang, Manwa L. Ng, Zhaocong Chen, Peng Liu, Yi Xu, Peng Liu and Dongfeng HUANG. Their work appears in journals such as The Journal of the Acoustical Society of America, Frontiers in Neuroscience, Scientific Reports, Cerebral Cortex and Clinical Neurophysiology.

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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