Zirui Lan

1.3k citations
21 papers · 909 indexed · 1 hit paper · h-index 13

Zirui Lan

21 papers receiving 893 citations

Hit Papers

Domain Adaptation Techniques for EEG-Based Emotion Recogn...265201820262020202350100150200250

Peers

Zirui Lan
Comparison fields: 5 of 75
  • Experimental and Cognitive Psychology 522
  • Cognitive Neuroscience 700
  • Human-Computer Interaction 192
  • Signal Processing 110
  • Cardiology and Cardiovascular Medicine 134
Replace Nicolina Sciaraffa with:
Nicolina Sciaraffa Italy
Lanlan Chen China
Brent J. Lance United States
Mingyue Yang China
Chongxun Zheng China
Mladen Russo Croatia
Sibsambhu Kar India
Yuliang Ma China
Andrzej Majkowski Poland
Gabriel Pires Portugal
Zirui Lan relative to Nicolina Sciaraffa Italy Nicolina Sciaraffa's profile →
Citations per field
00.5×6.7×
Nicolina Sciaraffa · 1×
Citations per year

Countries citing papers authored by Zirui Lan

Since Specialization
Citations

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

Fields of papers citing papers by Zirui Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Zirui Lan, 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 Zirui Lan Line = papers co-authored together Zirui Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2022104
2 202189
3 20212
4 20215
5 20207
6 202069
7 202012
8 202024
9 202032
10 201913
11 201935
12 20191
13 20183
14 20187
15
Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasetsbreakdown →
2018265
16 201710
17 20169
18 201517
19 2015164
20 201429

About Zirui Lan

Zirui Lan is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology, Cognitive Neuroscience, Social Psychology and Ocean Engineering, having authored 21 papers that have together received 909 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Emotion and Mood Recognition (8 papers), Gaze Tracking and Assistive Technology (7 papers), Human-Automation Interaction and Safety (6 papers), Sleep and Work-Related Fatigue (5 papers), Marine and Coastal Research (4 papers), Maritime Navigation and Safety (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (522 citations), Cognitive Neuroscience (700 citations), Human-Computer Interaction (192 citations), Signal Processing (110 citations) and Cardiology and Cardiovascular Medicine (134 citations). Zirui Lan has collaborated with scholars based in Singapore, Austria and Germany. Frequent co-authors include Olga Sourina, Lipo Wang, Jian Cui, Gernot Müller-Putz, Reinhold Scherer, Wolfgang Müller‐Wittig, Yisi Liu, Yisi Liu, Yisi Liu and Ruilin Li. Their work appears in journals such as Advanced Engineering Informatics, The Visual Computer, Methods, IEEE Transactions on Cognitive and Developmental Systems and IEEE Transactions on Neural Networks and Learning Systems.

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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