Cuixia Ma

1.1k citations
62 papers · 754 · 1 hit paper · h-index 12

Impact in

Papers in

Cuixia Ma

53 papers receiving 733 citations

Hit Papers

An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals 2020 · 236 citations
2360+2+4Years since publication50100150200

Peers

Cuixia Ma
Comparison fields: 5 of 95
  • Human-Computer Interaction 186
  • Computer Vision and Pattern Recognition 396
  • Experimental and Cognitive Psychology 180
  • Computer Graphics and Computer-Aided Design 43
  • Cognitive Neuroscience 224
Replace Minjing Yu with:
Minjing Yu China
Cagri Ozcinar Ireland
Michael Glueck Canada
Andrew Feng United States
Yoshinari Kameda Japan
Sanyuan Zhang China
Tolga Çapın Türkiye
Martin Naef United Kingdom
Matthew Turk United States
James S. Tittle United States
Cuixia Ma relative to Minjing Yu China Minjing Yu's profile →
Citations per field
00.5×4.2×
Minjing Yu · 1×
Citations per year

Countries citing papers authored by Cuixia Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cuixia Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
Hit paper breakdown →
2020236
2 202166
3 201351
4 201946
5 202039
6 200926
7 201523
8 201222
9 202221
10 201020
11 201919
12 201613
13 202211
14 202011
15 202010
16 201410
17 20239
18 20229
19 20168
20 20208

About Cuixia Ma

Cuixia Ma is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Sociology and Political Science, Control and Systems Engineering and Cognitive Neuroscience, having authored 62 papers that have together received 754 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (13 papers), Video Analysis and Summarization (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Multimedia Communication and Technology (10 papers), Hand Gesture Recognition Systems (9 papers), Human Pose and Action Recognition (8 papers), 3D Shape Modeling and Analysis (7 papers) and Data Visualization and Analytics (7 papers). The work is most often cited by research in Human-Computer Interaction (186 citations), Computer Vision and Pattern Recognition (396 citations), Experimental and Cognitive Psychology (180 citations), Computer Graphics and Computer-Aided Design (43 citations) and Cognitive Neuroscience (224 citations). Cuixia Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hongan Wang, Yong‐Jin Liu, Xiaoming Deng, Yu‐Kun Lai, Guozhen Zhao, Jinyao Li, Guanhua Zhang, Ping Tan, Xiaolan Fu and Guozhong Dai. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Science China Information Sciences, IEEE Transactions on Affective Computing and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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