Baoyun Lu

493 citations
9 papers · 384 indexed · 1 hit paper · h-index 5
Topics
Emotion and Mood Recognition (2 papers)Service-Oriented Architecture and Web Services (2 papers)Gaze Tracking and Assistive Technology (2 papers)
Partner nations
China

In The Last Decade

Baoyun Lu

7 papers receiving 376 citations

Hit Papers

Emotion Recognition from Multiband EEG Signals Using CapsNet2019202620212023201950100150200

Peers

Baoyun Lu
Comparison fields: 5 of 58
  • Cognitive Neuroscience 205
  • Experimental and Cognitive Psychology 173
  • Artificial Intelligence 80
  • Cardiology and Cardiovascular Medicine 48
  • Human-Computer Interaction 48
Replace Luigi Benedicenti with:
Luigi Benedicenti Canada
A. M. Mutawa Kuwait
Martyn Ratcliffe United Kingdom
Xue Jiang China
Tharindu Kaluarachchi New Zealand
Laiali Almazaydeh Jordan
Mohan Karnati India
Amir Jalaly Bidgoly Iran
Barjinder Kaur India
Samarth Tripathi India
Baoyun Lu relative to Luigi Benedicenti Canada Luigi Benedicenti's profile →
Citations per field
00.5×8.7×
Luigi Benedicenti · 1×
Citations per year

Countries citing papers authored by Baoyun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Baoyun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Baoyun Lu. A scholar is included among the top collaborators of Baoyun Lu 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 Baoyun Lu. Baoyun Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 1
3 29
4 4
5
Emotion Recognition from Multiband EEG Signals Using CapsNetbreakdown →
221
6 90
7 35
8
Research on Cloud Service Composition Based on Culture Social Cognitive Optimization Algorithm
4
9
Research on manufacturing cloud service optimal composition based on CL-MMAS algorithm
0

About Baoyun Lu

Baoyun Lu is a scholar working on Human-Computer Interaction, Management of Technology and Innovation and Media Technology, having authored 9 papers that have together received 384 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (173 citations), Cognitive Neuroscience (205 citations) and Human-Computer Interaction (48 citations). Baoyun Lu has collaborated with scholars based in China. Frequent co-authors include Chao Hao, Yongli Liu, Liang Dong, Xiao Xue, Zhizhong Liu, Dianhui Chu, Shufang Wang, Song Cheng, Haoran Qi and S Cheng. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.

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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