Xinchun Cui

795 citations
30 papers · 552 · 1 hit paper · h-index 9

Impact in

Papers in

Xinchun Cui

24 papers receiving 537 citations

Xinchun Cui's Hit Papers

EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM 2020 · 326 citations
3260+2+4Years since publication100200300

Peers

Xinchun Cui
Comparison fields: 5 of 87
  • Experimental and Cognitive Psychology 261
  • Cognitive Neuroscience 288
  • Human-Computer Interaction 71
  • Neurology 49
  • Signal Processing 51
Replace Mahmoud Shoman with:
Mahmoud Shoman Egypt
Hanshu Cai China
Álvaro A. Orozco Colombia
Esmeralda C. Djamal Indonesia
Rami Alazrai Jordan
Guanhua Zhang China
Mohan Karnati India
Jingyu Liu China
A. M. Mutawa Kuwait
Dong-Ok Won South Korea
Xinchun Cui relative to Mahmoud Shoman Egypt Mahmoud Shoman's profile →
Citations per field
00.5×3.3×
Mahmoud Shoman · 1×
Citations per year

Countries citing papers authored by Xinchun Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xinchun Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
Hit paper breakdown →
2020326
2 202138
3 201829
4 202126
5 201922
6 202022
7 202312
8 202310
9 20228
10 20227
11 20227
12 20216
13 20246
14 20226
15 20206
16 20204
17 20204
18 20243
19 20242
20 20112

About Xinchun Cui

Xinchun Cui is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 552 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (11 papers), AI in cancer detection (4 papers), Dementia and Cognitive Impairment Research (4 papers), Face and Expression Recognition (3 papers), Advanced Computing and Algorithms (3 papers), Cryptography and Data Security (3 papers), Medical Image Segmentation Techniques (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (261 citations), Cognitive Neuroscience (288 citations), Human-Computer Interaction (71 citations), Neurology (49 citations) and Signal Processing (51 citations). Xinchun Cui has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiangwei Zheng, Yongqiang Yin, Bin Hu, Yuang Zhang, Yiquan Zhang, Xiaomei Yu, Jie Tian, Jin‐Xing Liu, Xiaoli Liu and Yuemei Hu. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, International Journal of Intelligent Systems, Applied Soft Computing, Scientific Reports and Enterprise Information 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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