Hanjun Liu

2.8k citations
110 papers · 2.2k indexed · h-index 26

Impact in

Papers in

Hanjun Liu

102 papers receiving 2.1k citations

Peers

Hanjun Liu
Comparison fields: 5 of 110
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 890
  • Signal Processing 191
  • Physiology 460
  • Sensory Systems 77
Replace Roozbeh Behroozmand with:
Roozbeh Behroozmand United States
Melanie L. Matthies United States
Christian A. Kell Germany
Daniel E. Callan Japan
Mark Tiede United States
Sascha Frühholz Switzerland
Cynthia Fox United States
Shigeru Kiritani Japan
Lea Leinonen Finland
Tommi Raij United States
Hanjun Liu relative to Roozbeh Behroozmand United States Roozbeh Behroozmand's profile →
Citations per field
00.5×2.6×
Roozbeh Behroozmand · 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-authorship network

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
#Work
1 20254
2 20251
3 20251
4 20250
5 20251
6 20250
7 20247
8 202421
9 20244
10 20233
11 20236
12 20233
13 202213
14 202211
15 201814
16 201815
17 201737
18 201715
19 20151
20 201527

About Hanjun Liu

Hanjun Liu is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Neurology, Sensory Systems and Linguistics and Language, having authored 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (45 papers), Phonetics and Phonology Research (36 papers), Hearing Loss and Rehabilitation (19 papers), Voice and Speech Disorders (15 papers), Neurobiology of Language and Bilingualism (14 papers), Neural dynamics and brain function (14 papers), Speech Recognition and Synthesis (13 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (890 citations), Signal Processing (191 citations), Physiology (460 citations) and Sensory Systems (77 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, Manwa L. Ng, Emily Wang, Zhaocong Chen, Peng Liu, Yi Xu, Dongfeng Huang and Peng Liu. Their work appears in journals such as The Journal of the Acoustical Society of America, Frontiers in Neuroscience, Scientific Reports, Clinical Neurophysiology and Cerebral Cortex.

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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