Xiaomao Fan

1.9k total citations · 1 hit paper
67 papers, 1.3k citations indexed

About

Xiaomao Fan is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Xiaomao Fan has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 19 papers in Cardiology and Cardiovascular Medicine and 17 papers in Biomedical Engineering. Recurrent topics in Xiaomao Fan's work include EEG and Brain-Computer Interfaces (19 papers), Obstructive Sleep Apnea Research (13 papers) and ECG Monitoring and Analysis (13 papers). Xiaomao Fan is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Obstructive Sleep Apnea Research (13 papers) and ECG Monitoring and Analysis (13 papers). Xiaomao Fan collaborates with scholars based in China, Hong Kong and United States. Xiaomao Fan's co-authors include Ye Li, Qihang Yao, Ruxin Wang, Jikui Liu, Yunpeng Cai, Fangmin Sun, Fen Miao, Chenguang He, Wenjun Ma and Kwok‐Leung Tsui and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Xiaomao Fan

59 papers receiving 1.3k citations

Hit Papers

Multi-class Arrhythmia detection from 12-lead varied-leng... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network
    2019 340 citations Ruxin Wang, Xiaomao Fan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomao Fan China 16 690 529 353 175 144 67 1.3k
Lakhan Dev Sharma India 21 574 0.8× 576 1.1× 251 0.7× 148 0.8× 101 0.7× 67 1.1k
Sukanta Sabut India 22 546 0.8× 507 1.0× 563 1.6× 232 1.3× 128 0.9× 71 1.6k
Udit Satija India 19 664 1.0× 515 1.0× 462 1.3× 326 1.9× 227 1.6× 75 1.5k
Deepu John Ireland 17 603 0.9× 292 0.6× 623 1.8× 160 0.9× 36 0.3× 69 1.2k
Oh Shu Lih Singapore 12 1.3k 1.9× 1.0k 2.0× 537 1.5× 282 1.6× 273 1.9× 14 2.1k
Eduardo Luz Brazil 17 1.0k 1.5× 813 1.5× 426 1.2× 277 1.6× 224 1.6× 44 1.6k
Saroj Kumar Pandey India 14 361 0.5× 294 0.6× 136 0.4× 147 0.8× 81 0.6× 73 737
Giovanna Sannino Italy 19 454 0.7× 296 0.6× 332 0.9× 573 3.3× 159 1.1× 77 1.7k
Semih Ergi̇n Türkiye 12 376 0.5× 245 0.5× 226 0.6× 212 1.2× 85 0.6× 45 808
Awni Hannun Israel 9 1.2k 1.8× 634 1.2× 372 1.1× 595 3.4× 293 2.0× 16 2.2k

Countries citing papers authored by Xiaomao Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomao Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomao Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomao Fan. A scholar is included among the top collaborators of Xiaomao Fan 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 Xiaomao Fan. Xiaomao Fan 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
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Chen, Jingrui, Xiaomao Fan, Ruiquan Ge, et al.. (2025). Towards interpretable sleep stage classification with a multi-stream fusion network. BMC Medical Informatics and Decision Making. 25(1). 164–164.
4.
Li, Yongcheng, Ying Lü, Yupeng Zhang, et al.. (2024). Towards Cross-Domain Single Blood Cell Image Classification Via Large-Scale Lora-Based Segment Anything Model. 1–5. 1 indexed citations
5.
Fu, Xianghua, et al.. (2024). Leveraging Chain-of-Thought to Enhance Stance Detection with Prompt-Tuning. Mathematics. 12(4). 568–568. 5 indexed citations
6.
Zhang, Bowen, et al.. (2024). Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction. ACM Transactions on Intelligent Systems and Technology. 16(1). 1–19. 1 indexed citations
7.
Fan, Xiaomao, et al.. (2024). cVAN: A Novel Sleep Staging Method via Cross-View Alignment Network. IEEE Journal of Biomedical and Health Informatics. 29(7). 4659–4671. 4 indexed citations
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Zhang, Bowen, et al.. (2024). A Comprehensive Interaction in Multiscale Multichannel EEG Signals for Emotion Recognition. Mathematics. 12(8). 1180–1180. 2 indexed citations
9.
Fan, Xiaomao, et al.. (2024). An Examination of Mental Stress in College Students: Utilizing Intelligent Perception Data and the Mental Stress Scale. Mathematics. 12(10). 1501–1501. 3 indexed citations
10.
Fan, Xiaomao, et al.. (2024). MSS-Former: Multiscale Skeletal Transformer for Intelligent Fall Risk Prediction in Older Adults. IEEE Internet of Things Journal. 11(20). 33040–33052. 1 indexed citations
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Ma, Wenjun, et al.. (2023). Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System. IEEE Transactions on Big Data. 10(4). 457–469. 3 indexed citations
13.
Chen, Xianhui, et al.. (2023). BAFNet: Bottleneck Attention Based Fusion Network for Sleep Apnea Detection. IEEE Journal of Biomedical and Health Informatics. 28(5). 2473–2484. 13 indexed citations
14.
Peng, Xiaojiang, et al.. (2023). Cascaded Vehicle Matching and Short-Term Spatial-Temporal Network for Smoky Vehicle Detection. Applied Sciences. 13(8). 4841–4841. 1 indexed citations
15.
Yue, Huijun, Pan Li, Yun Li, et al.. (2023). Validity study of a multiscaled fusion network using single-lead electrocardiogram signals for obstructive sleep apnea diagnosis. Journal of Clinical Sleep Medicine. 19(6). 1017–1025. 1 indexed citations
16.
Fan, Xiaomao, et al.. (2022). Automatic fall risk assessment with Siamese network for stroke survivors using inertial sensor‐based signals. International Journal of Intelligent Systems. 37(9). 6168–6184. 12 indexed citations
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Li, Yujie, Xiaomao Fan, Xingxian Huang, et al.. (2022). A novel EEG-based major depressive disorder detection framework with two-stage feature selection. BMC Medical Informatics and Decision Making. 22(1). 209–209. 23 indexed citations
19.
Fan, Xiaomao, Yang Zhao, Hailiang Wang, & Kwok‐Leung Tsui. (2019). Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals. BMC Medical Informatics and Decision Making. 19(1). 285–285. 12 indexed citations
20.
He, Chenguang, Xiaomao Fan, & Ye Li. (2012). Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform. IEEE Transactions on Biomedical Engineering. 60(1). 230–234. 148 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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