Haoshi Zhang

565 total citations
33 papers, 409 citations indexed

About

Haoshi Zhang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Haoshi Zhang has authored 33 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 20 papers in Cognitive Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Haoshi Zhang's work include Muscle activation and electromyography studies (21 papers), EEG and Brain-Computer Interfaces (17 papers) and Neuroscience and Neural Engineering (7 papers). Haoshi Zhang is often cited by papers focused on Muscle activation and electromyography studies (21 papers), EEG and Brain-Computer Interfaces (17 papers) and Neuroscience and Neural Engineering (7 papers). Haoshi Zhang collaborates with scholars based in China, Australia and United Kingdom. Haoshi Zhang's co-authors include Guanglin Li, Oluwarotimi Williams Samuel, Xiangxin Li, Hui Wang, Hui Zhou, Arun Kumar Sangaiah, Shixiong Chen, Lisheng Xu, Peng Shang and Mingxing Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Haoshi Zhang

29 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoshi Zhang China 9 290 221 109 61 35 33 409
P. A. Karthick India 12 289 1.0× 199 0.9× 49 0.4× 37 0.6× 38 1.1× 35 456
Yaqi Chu China 11 172 0.6× 299 1.4× 113 1.0× 119 2.0× 46 1.3× 31 460
Mahdi Khezri Iran 9 326 1.1× 288 1.3× 110 1.0× 108 1.8× 31 0.9× 11 452
Filippo Casamassima Italy 7 308 1.1× 105 0.5× 54 0.5× 64 1.0× 18 0.5× 15 459
Alkinoos Athanasiou Greece 11 79 0.3× 253 1.1× 89 0.8× 55 0.9× 39 1.1× 35 413
Rafi Hassan Chowdhury Bangladesh 4 572 2.0× 352 1.6× 166 1.5× 89 1.5× 31 0.9× 12 695
T. Castermans Belgium 10 208 0.7× 555 2.5× 193 1.8× 110 1.8× 40 1.1× 16 676
Long Meng China 11 174 0.6× 193 0.9× 39 0.4× 85 1.4× 14 0.4× 43 398
Heba Lakany United Kingdom 12 179 0.6× 226 1.0× 108 1.0× 68 1.1× 15 0.4× 44 433
D. Gamet France 11 397 1.4× 184 0.8× 85 0.8× 18 0.3× 31 0.9× 23 536

Countries citing papers authored by Haoshi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Haoshi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoshi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Haoshi Zhang. A scholar is included among the top collaborators of Haoshi Zhang 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 Haoshi Zhang. Haoshi Zhang 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.
Zhang, Haoshi, et al.. (2024). A novel spatial feature extraction method based on high-density sEMG for complex hand movement recognition. Biomedical Signal Processing and Control. 103. 107403–107403.
3.
Tian, Lü, Yupeng Zheng, Haoshi Zhang, et al.. (2023). An intelligent prosthetic system for EMG pattern recognition based prosthesis control*. 70–73. 2 indexed citations
4.
Zhu, Mingxing, Xin Wang, Haoshi Zhang, et al.. (2022). Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface Electromyography. Frontiers in Neuroscience. 16. 941594–941594. 5 indexed citations
5.
Zhang, Haoshi, Mingxing Zhu, Dan Wang, et al.. (2022). A Robust Extraction Approach of Auditory Brainstem Response Using Adaptive Kalman Filtering Method. IEEE Transactions on Biomedical Engineering. 69(12). 3792–3802. 9 indexed citations
6.
Zhu, Mingxing, Haoshi Zhang, Xiaochen Wang, et al.. (2020). Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography. Journal of Neural Engineering. 18(1). 16005–16005. 21 indexed citations
7.
Samuel, Oluwarotimi Williams, et al.. (2020). Towards effective assessment of normal hearing function from ABR using a time-variant sweep-tone stimulus approach. Physiological Measurement. 42(4). 45010–45010.
8.
Zhu, Mingxing, Zhen Huang, Xiaochen Wang, et al.. (2020). Automatic Speech Recognition in Different Languages Using High-Density Surface Electromyography Sensors. IEEE Sensors Journal. 21(13). 14155–14167. 6 indexed citations
9.
Wang, Xin, Mingxing Zhu, Oluwarotimi Williams Samuel, et al.. (2020). The Effects of Random Stimulation Rate on Measurements of Auditory Brainstem Response. Frontiers in Human Neuroscience. 14. 78–78. 7 indexed citations
10.
Zhu, Mingxing, Han Cui, Xin Wang, et al.. (2020). The Effects of Channel Number on Classification Performance for sEMG-based Speech Recognition. PubMed. 2020. 3102–3105. 3 indexed citations
11.
Zhu, Mingxing, Zhen Huang, Xiaochen Wang, et al.. (2019). Contraction Patterns of Facial and Neck Muscles in Speaking Tasks Using High-Density Electromyography. 1–5. 3 indexed citations
12.
Zhang, Haoshi, et al.. (2017). Using spatial features for classification of combined motions based on common spatial pattern. 16. 2271–2274. 1 indexed citations
13.
Zhang, Haoshi, et al.. (2016). A Robust Feature Set for Wearable Multichannel Myoelectric Devices in Practice. 2. 197–202. 1 indexed citations
14.
Li, Xiangxin, Shixiong Chen, Haoshi Zhang, et al.. (2016). Towards reducing the impacts of unwanted movements on identification of motion intentions. Journal of Electromyography and Kinesiology. 28. 90–98. 33 indexed citations
15.
Zhou, Hui, Haoshi Zhang, Yingying Wang, et al.. (2015). Investigation of tibialis anterior muscle activation patterns during walking on different terrains. 4 .–4 .. 1 indexed citations
16.
Zhang, Haoshi, Mingxing Zhu, Yupeng Zheng, & Guanglin Li. (2015). Toward Capturing Momentary Changes of Heart Rate Variability by a Dynamic Analysis Method. PLoS ONE. 10(7). e0133148–e0133148. 13 indexed citations
17.
Chen, Shixiong, Haoshi Zhang, Lan Wang, & Guanglin Li. (2014). An in-situ calibration method and the effects on stimulus frequency otoacoustic emissions. BioMedical Engineering OnLine. 13(1). 95–95. 8 indexed citations
18.
Li, Xiangxin, Shixiong Chen, Haoshi Zhang, Xiufeng Zhang, & Guanglin Li. (2014). Effects of non-training movements on the performance of motion classification in electromyography pattern recognition. PubMed. 18. 2569–2572. 5 indexed citations
19.
Zhang, Haoshi, Lü Tian, Liangqing Zhang, & Guanglin Li. (2013). Using textile electrode EMG for prosthetic movement identification in transradial amputees. 1–5. 14 indexed citations
20.
Xu, Jin, et al.. (2011). Decreased Delta Event-Related Synchronization in Patients with Early Vascular Dementia. Clinical EEG and Neuroscience. 42(1). 53–58. 8 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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