Xi Long

132 papers receiving 2.8k citations

Peers

Xi Long
Comparison fields: 5 of 121
  • Cognitive Neuroscience 666
  • Pharmacy 109
  • Biomedical Engineering 995
  • Experimental and Cognitive Psychology 429
  • Computer Vision and Pattern Recognition 564
Replace Ronald M. Aarts with:
Ronald M. Aarts Netherlands
N. Kannathal Singapore
Pedro Miguel Fonseca Netherlands
Choo Min Lim Singapore
Walter Karlen Switzerland
Sazali Yaacob Malaysia
Kwang Suk Park South Korea
Guy Carrault France
Andrea Mannini Italy
Giovanni Morone Italy
Xi Long relative to Ronald M. Aarts Netherlands Ronald M. Aarts's profile →
Citations per field
00.5×1.5×2.0×
Ronald M. Aarts · 1×
Citations per year

Countries citing papers authored by Xi Long

Since Specialization
Citations

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

Fields of papers citing papers by Xi Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020204
2 2009173
3 2015149
4 2019145
5 202196
6 201686
7 201384
8 201471
9 201668
10 202063
11 201661
12 202160
13 201659
14 202058
15 201755
16 202145
17 202040
18 201838
19 201835
20 201434

About Xi Long

Xi Long is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (56 papers), EEG and Brain-Computer Interfaces (29 papers), Sleep and related disorders (23 papers), Context-Aware Activity Recognition Systems (19 papers), Heart Rate Variability and Autonomic Control (18 papers), ECG Monitoring and Analysis (15 papers), Obstructive Sleep Apnea Research (11 papers) and Infant Health and Development (10 papers). The work is most often cited by research in Cognitive Neuroscience (666 citations), Pharmacy (109 citations), Biomedical Engineering (995 citations), Experimental and Cognitive Psychology (429 citations) and Computer Vision and Pattern Recognition (564 citations). Xi Long has collaborated with scholars based in Netherlands, China and Germany. Frequent co-authors include Ronald M. Aarts, Pedro Miguel Fonseca, Reinder Haakma, Jérôme Foussier, Mustafa Radha, Bin Yin, Peter Andriessen, P. Anderer, Marco Ross and Andreas Cerny. Their work appears in journals such as Physiological Measurement, Biomedical Signal Processing and Control, IEEE Journal of Biomedical and Health Informatics, Sensors and Computer Methods and Programs in Biomedicine.

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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