Baoshi Han

407 total citations
9 papers, 250 citations indexed

About

Baoshi Han is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Baoshi Han has authored 9 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Biomedical Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Baoshi Han's work include ECG Monitoring and Analysis (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Baoshi Han is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Baoshi Han collaborates with scholars based in China. Baoshi Han's co-authors include Lei Ji, Yajun Shi, Jinliang Wang, Jun Guo, Yundai Chen, Jianwen Luo, Guanglei Zhang, Lidong Du, Peng Wang and Qianjin Feng and has published in prestigious journals such as Nature Communications, IEEE Internet of Things Journal and IEEE Sensors Journal.

In The Last Decade

Baoshi Han

7 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baoshi Han China	6	138	94	74	31	27	9	250
Rolf Vetter Switzerland	10	164 1.2×	122 1.3×	50 0.7×	35 1.1×	19 0.7×	27	292
Satish T. Hamde India	10	270 2.0×	136 1.4×	153 2.1×	32 1.0×	17 0.6×	35	400
Qiang Zhu China	10	109 0.8×	117 1.2×	26 0.4×	43 1.4×	18 0.7×	31	261
Hamed Danandeh Hesar Iran	9	219 1.6×	123 1.3×	77 1.0×	18 0.6×	11 0.4×	20	280
Rodica Strungaru Romania	10	147 1.1×	90 1.0×	132 1.8×	41 1.3×	19 0.7×	41	291
Ashikur Rahman United States	12	86 0.6×	279 3.0×	16 0.2×	28 0.9×	67 2.5×	25	371
Mohd Anuar Md Ali Malaysia	12	84 0.6×	210 2.2×	24 0.3×	16 0.5×	84 3.1×	35	340
Damla Kuntalp Türkiye	7	250 1.8×	91 1.0×	232 3.1×	34 1.1×	24 0.9×	21	355
Omar Escalona United Kingdom	10	269 1.9×	141 1.5×	71 1.0×	5 0.2×	42 1.6×	67	356
Deboleena Sadhukhan India	10	274 2.0×	174 1.9×	130 1.8×	21 0.7×	9 0.3×	29	332

Countries citing papers authored by Baoshi Han

Since Specialization

Citations

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

Fields of papers citing papers by Baoshi Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoshi Han

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zhang, Yue, Jin‐Liang Wang, Yong Yan, et al.. (2024). Abnormal recognition-assisted and onset-offset aware network for pathological wearable ECG delineation. Artificial Intelligence in Medicine. 157. 102992–102992.

2.

Zhang, Yue, Jinliang Wang, Yong Yan, et al.. (2024). Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive–symbiotic correlation between 254 hierarchical multiple labels. PubMed. 1(1). 1 indexed citations

3.

Wang, Peng, et al.. (2024). Vital Sign Mask: Extracting Multi-Person Heartbeats from Entangled RF Signals. IEEE Sensors Journal. 1–1.

4.

Zhang, Hao, Pan Xia, Changyu Liu, et al.. (2023). mmSignature: Semi-supervised human identification system based on millimeter wave radar. Engineering Applications of Artificial Intelligence. 126. 106939–106939. 9 indexed citations

5.

Wang, Jinliang, Lei Ji, Jun Guo, et al.. (2023). Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset. Nature Communications. 14(1). 3741–3741. 60 indexed citations

6.

Liu, Changyu, Peng Wang, Lidong Du, et al.. (2023). Unsupervised-Learning-Based Unobtrusive Fall Detection Using FMCW Radar. IEEE Internet of Things Journal. 11(3). 5078–5089. 9 indexed citations

7.

Liu, Changyu, Peng Wang, Xianxiang Chen, et al.. (2023). Contactless and continuous blood pressure measurement according to caPTT obtained from millimeter wave radar. Measurement. 218. 113151–113151. 13 indexed citations

8.

Liu, Changyu, Hao Zhang, Peng Wang, et al.. (2022). Fall Detection System Using Millimeter-Wave Radar Based on Neural Network and Information Fusion. IEEE Internet of Things Journal. 9(21). 21038–21050. 57 indexed citations

9.

Chen, Yundai, Jun Guo, Baoshi Han, et al.. (2019). Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network. Computers in Biology and Medicine. 116. 103378–103378. 101 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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