Xingran Cui

30 papers receiving 491 citations

Peers

Xingran Cui
Comparison fields: 5 of 105
  • Cognitive Neuroscience 125
  • Health Informatics 7
  • Cardiology and Cardiovascular Medicine 113
  • Biophysics 23
  • Health Information Management 17
Replace Fábio Scarpa with:
Fábio Scarpa Italy
Patrizia Vizza Italy
Bülent Yılmaz Türkiye
Shimin Yin China
David W. Clifton Bulgaria
Willemijn Groenendaal Netherlands
Shaun Frost Australia
Allam Jaya Prakash India
Антон Попов Ukraine
Xingran Cui relative to Fábio Scarpa Italy Fábio Scarpa's profile →
Citations per field
00.5×1.5×1.8×
Fábio Scarpa · 1×
Citations per year

Countries citing papers authored by Xingran Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xingran Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201478
2 202168
3 201451
4 201531
5 201727
6 201926
7 202123
8 201319
9 202018
10 202216
11 202115
12 202214
13 201014
14 202313
15 201613
16 202112
17 20119
18 20168
19 20107
20 20217

About Xingran Cui

Xingran Cui is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 32 papers that have together received 501 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (13 papers), EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (5 papers), ECG Monitoring and Analysis (4 papers), Complex Systems and Time Series Analysis (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (125 citations), Health Informatics (7 citations), Cardiology and Cardiovascular Medicine (113 citations), Biophysics (23 citations) and Health Information Management (17 citations). Xingran Cui has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chung‐Kang Peng, Wang Wan, Pengjian Shang, Wang Jing, Amir Abduljalil, Brad Manor, Vera Novak, Maysam Abbod, Jiann-Shing Shieh and Quan Liu. Their work appears in journals such as Biomedical Signal Processing and Control, Physica A Statistical Mechanics and its Applications, Journal of the Taiwan Institute of Chemical Engineers, Journal of Colloid and Interface Science and Scientific Reports.

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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