Xi Long

3.8k total citations
152 papers, 2.6k citations indexed

About

Xi Long is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Xi Long has authored 152 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Biomedical Engineering, 53 papers in Cardiology and Cardiovascular Medicine and 50 papers in Cognitive Neuroscience. Recurrent topics in Xi Long's work include Non-Invasive Vital Sign Monitoring (65 papers), EEG and Brain-Computer Interfaces (45 papers) and Heart Rate Variability and Autonomic Control (26 papers). Xi Long is often cited by papers focused on Non-Invasive Vital Sign Monitoring (65 papers), EEG and Brain-Computer Interfaces (45 papers) and Heart Rate Variability and Autonomic Control (26 papers). Xi Long collaborates with scholars based in Netherlands, China and Germany. Xi Long's co-authors include Ronald M. Aarts, Pedro Fonseca, Reinder Haakma, Jérôme Foussier, Mustafa Radha, Bin Yin, Peter Andriessen, P. Anderer, Andreas Cerny and Marco Ross and has published in prestigious journals such as Journal of Neuroscience, Applied Physics Letters and Scientific Reports.

In The Last Decade

Xi Long

137 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xi Long Netherlands 28 1.1k 920 599 433 334 152 2.6k
Ronald M. Aarts Netherlands 33 1.6k 1.4× 1.6k 1.7× 1.0k 1.7× 586 1.4× 358 1.1× 185 3.8k
Chandan Karmakar Australia 31 1.2k 1.1× 881 1.0× 1.5k 2.5× 391 0.9× 173 0.5× 174 3.8k
Joachim A. Behar Israel 28 999 0.9× 944 1.0× 2.0k 3.3× 307 0.7× 111 0.3× 96 2.9k
Choo Min Lim Singapore 20 1.1k 1.0× 1.5k 1.6× 2.2k 3.7× 157 0.4× 418 1.3× 29 4.3k
Anna Maria Bianchi Italy 41 1.6k 1.4× 2.3k 2.5× 1.8k 3.1× 803 1.9× 190 0.6× 328 5.9k
Andriy Temko Ireland 29 534 0.5× 1.2k 1.3× 455 0.8× 287 0.7× 205 0.6× 96 3.2k
Carolina Varon Belgium 21 758 0.7× 614 0.7× 772 1.3× 465 1.1× 67 0.2× 129 1.6k
Alpo Värri Finland 22 637 0.6× 1.1k 1.2× 555 0.9× 310 0.7× 87 0.3× 105 1.9k
N. Kannathal Singapore 17 1.1k 1.0× 1.7k 1.8× 2.3k 3.8× 171 0.4× 140 0.4× 22 4.0k
Walter Karlen Switzerland 27 1.3k 1.2× 389 0.4× 832 1.4× 295 0.7× 102 0.3× 99 2.3k

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-authorship network of co-authors of Xi Long

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

All Works

20 of 20 papers shown
1.
Gilst, Merel M. van, et al.. (2025). SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model With Improved N1 Sleep Detection. IEEE Journal of Biomedical and Health Informatics. 29(9). 6830–6843. 1 indexed citations
2.
Lin, Yi, et al.. (2025). MSSA-DIS: Multi-Scale Spatial Attention with Discriminative Instance Selection for Whole Slide Image Classification. Arabian Journal for Science and Engineering. 50(23). 19859–19877.
3.
Sun, Shaoxiong, Carola van Pul, Caifeng Shan, et al.. (2024). Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state. Acta Paediatrica. 113(6). 1236–1245. 1 indexed citations
4.
Andriessen, Peter, et al.. (2024). Explainable Machine Learning for Central Apnea Detection in Premature Infants. TU/e Research Portal. 1–6.
5.
6.
Zhao, Y., Deedee Kommers, H. van den Boom, et al.. (2024). Continuous Movement Quantification in Preterm Infants Using Fiber Mat: Advancing Long-Term Monitoring in Hospital Settings. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 1 indexed citations
7.
Long, Xi, et al.. (2024). Predicting preterm birth using electronic medical records from multiple prenatal visits. BMC Pregnancy and Childbirth. 24(1). 843–843. 3 indexed citations
8.
Ma, Caiyun, Xi Long, Rik Vullings, et al.. (2023). An Atrial Fibrillation Detection Strategy in Dynamic ECGs With Significant Individual Differences. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 5 indexed citations
9.
Ma, Caiyun, Zhongyu Wang, Lina Zhao, et al.. (2023). Deep Learning-based Signal Quality Assessment in Wearable ECG Monitoring. Computing in cardiology. 2 indexed citations
10.
11.
Ma, Caiyun, Lina Zhao, Joachim A. Behar, et al.. (2023). A Review on Atrial Fibrillation Detection From Ambulatory ECG. IEEE Transactions on Biomedical Engineering. 71(3). 876–892. 6 indexed citations
12.
Yang, Chenxi, Yumin Li, Caiyun Ma, et al.. (2023). Human Eye Activity Monitoring Using Continuous Wave Doppler Radar: A Feasibility Study. IEEE Transactions on Biomedical Circuits and Systems. 18(2). 322–333. 2 indexed citations
13.
Ye, Tianchun, Xi Long, Ronald M. Aarts, et al.. (2022). A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 18 indexed citations
14.
Wang, Ying, Ivan C. Zibrandtsen, R.H.C. Lazeron, et al.. (2021). Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study. Clinical EEG and Neuroscience. 54(3). 255–264.
15.
Awais, Muhammad, Xi Long, Bin Yin, et al.. (2021). A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video. IEEE Journal of Biomedical and Health Informatics. 25(5). 1441–1449. 38 indexed citations
16.
Pu, Suan Hui, Sebastiaan Overeem, Wouter A. Serdijn, et al.. (2021). Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study. Sleep Medicine. 82. 1–8. 29 indexed citations
17.
Abbasi, Saadullah Farooq, Jawad Ahmad, Ahsen Tahir, et al.. (2020). EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access. 8. 183025–183034. 52 indexed citations
18.
Ding, Xiaorong, David A. Clifton, Nan Ji, et al.. (2020). Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic. IEEE Reviews in Biomedical Engineering. 14. 48–70. 186 indexed citations
19.
Andriessen, Peter, et al.. (2019). Automated preterm infant sleep staging using capacitive electrocardiography. Physiological Measurement. 40(5). 55003–55003. 13 indexed citations
20.
Li, Zhang, Fan Huang, Jiong Zhang, et al.. (2018). Multi-modal and multi-vendor retina image registration. Biomedical Optics Express. 9(2). 410–410. 32 indexed citations

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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