Kun‐Han Lu

1.2k citations
24 papers · 732 · h-index 14

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Face Recognition and Perception
    • Visual perception and processing mechanisms
  • Neurology top 10%
    • Vagus Nerve Stimulation Research

Papers in

Kun‐Han Lu

23 papers receiving 721 citations

Peers

Kun‐Han Lu
Comparison fields: 5 of 102
  • Cognitive Neuroscience 419
  • Neurology 94
  • Biophysics 46
  • Gastroenterology 29
  • Radiology, Nuclear Medicine and Imaging 114
Replace Jiayue Cao with:
Jiayue Cao United States
Zhongming Liu United States
Suresh Joel United States
Sylvain Takerkart France
Pierpaolo Croce Italy
Jan Freyberg United States
Dong Ming China
Tim Bonnici United States
Fábio Scarpa Italy
Anne‐Marie van Cappellen van Walsum Netherlands
Kun‐Han Lu relative to Jiayue Cao United States Jiayue Cao's profile →
Citations per field
00.5×3.4×
Jiayue Cao · 1×
Citations per year

Countries citing papers authored by Kun‐Han Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Han Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Han Lu. 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 Kun‐Han Lu. The network helps show where Kun‐Han Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 2019109
3 201686
4 201758
5 201840
6 201728
7 201726
8 201924
9 201723
10 202022
11 201622
12 201520
13 202117
14 202213
15 201711
16 20239
17 20209
18 20218
19 20178
20 20122

About Kun‐Han Lu

Kun‐Han Lu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Gastroenterology and Physiology, having authored 24 papers that have together received 732 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers), Gastrointestinal motility and disorders (4 papers), Vagus Nerve Stimulation Research (4 papers), Visual perception and processing mechanisms (3 papers), Gastroesophageal reflux and treatments (2 papers), Face Recognition and Perception (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (419 citations), Neurology (94 citations), Biophysics (46 citations), Gastroenterology (29 citations) and Radiology, Nuclear Medicine and Imaging (114 citations). Kun‐Han Lu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Haiguang Wen, Jiayue Cao, Yizhen Zhang, Zhongming Liu, Junxing Shi, Zhongming Liu, Terry L. Powley, Zhongming Liu, Di Fu and Kuan Han. Their work appears in journals such as NeuroImage, The FASEB Journal, PLoS ONE, Human Brain Mapping and Neurogastroenterology & Motility.

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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