Hongzhi Qi

2.8k total citations
124 papers, 2.0k citations indexed

About

Hongzhi Qi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Hongzhi Qi has authored 124 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Cognitive Neuroscience, 45 papers in Cellular and Molecular Neuroscience and 26 papers in Biomedical Engineering. Recurrent topics in Hongzhi Qi's work include EEG and Brain-Computer Interfaces (102 papers), Neuroscience and Neural Engineering (44 papers) and Neural dynamics and brain function (33 papers). Hongzhi Qi is often cited by papers focused on EEG and Brain-Computer Interfaces (102 papers), Neuroscience and Neural Engineering (44 papers) and Neural dynamics and brain function (33 papers). Hongzhi Qi collaborates with scholars based in China, Hong Kong and United States. Hongzhi Qi's co-authors include Dong Ming, Baikun Wan, Feng He, Minpeng Xu, Peng Zhou, Lixin Zhang, Weibo Yi, Shuang Qiu, Tzyy‐Ping Jung and Yijun Wang and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Access.

In The Last Decade

Hongzhi Qi

115 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongzhi Qi China 26 1.7k 696 331 295 271 124 2.0k
Martin Bogdan Germany 27 1.9k 1.2× 785 1.1× 351 1.1× 352 1.2× 317 1.2× 103 2.6k
Sung-Phil Kim South Korea 22 1.5k 0.9× 633 0.9× 487 1.5× 247 0.8× 175 0.6× 146 2.0k
Han‐Jeong Hwang South Korea 19 1.4k 0.9× 664 1.0× 412 1.2× 219 0.7× 268 1.0× 61 1.7k
Yasue Mitsukura Japan 18 1.0k 0.6× 366 0.5× 273 0.8× 188 0.6× 250 0.9× 251 1.9k
Selina C. Wriessnegger Austria 22 1.4k 0.8× 466 0.7× 359 1.1× 157 0.5× 200 0.7× 64 1.7k
Sangtae Ahn South Korea 17 1.2k 0.7× 459 0.7× 220 0.7× 215 0.7× 128 0.5× 50 1.6k
Tim Mullen United States 20 2.5k 1.5× 424 0.6× 227 0.7× 173 0.6× 161 0.6× 39 3.0k
Peiyang Li China 27 1.7k 1.0× 356 0.5× 359 1.1× 227 0.8× 248 0.9× 75 2.3k
Ian Daly United Kingdom 31 2.7k 1.6× 973 1.4× 351 1.1× 533 1.8× 547 2.0× 103 3.1k
G. Pfurtscheller Austria 21 2.1k 1.3× 718 1.0× 233 0.7× 230 0.8× 169 0.6× 72 2.3k

Countries citing papers authored by Hongzhi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Hongzhi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzhi Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Hongzhi Qi. A scholar is included among the top collaborators of Hongzhi Qi 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 Hongzhi Qi. Hongzhi Qi 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.
Wang, Xiaoyan & Hongzhi Qi. (2024). Decoding motor imagery loaded on steady-state somatosensory evoked potential based on complex task-related component analysis. Computer Methods and Programs in Biomedicine. 257. 108425–108425.
2.
Li, Hailong, et al.. (2023). The use of the general thermal sensation discriminant model based on CNN for room temperature regulation by online brain-computer interface. Building and Environment. 241. 110494–110494. 7 indexed citations
3.
He, Feng, et al.. (2022). Improving the performance of a gaze independent P300-BCI by using the expectancy wave. Journal of Neural Engineering. 19(2). 26036–26036. 6 indexed citations
4.
He, Feng, et al.. (2021). Improve P300-speller performance by online tuning stimulus onset asynchrony (SOA). Journal of Neural Engineering. 18(5). 56067–56067. 3 indexed citations
5.
He, Feng, et al.. (2020). Operate P300 speller when performing other task. Journal of Neural Engineering. 17(5). 56022–56022. 10 indexed citations
6.
Chen, Zhitang, Zhongpeng Wang, Kun Wang, Weibo Yi, & Hongzhi Qi. (2019). Recognizing Motor Imagery Between Hand and Forearm in the Same Limb in a Hybrid Brain Computer Interface Paradigm: An Online Study. IEEE Access. 7. 59631–59639. 12 indexed citations
7.
Jiang, Shenlong, Zhongpeng Wang, Weibo Yi, et al.. (2019). Current Change Rate Influences Sensorimotor Cortical Excitability During Neuromuscular Electrical Stimulation. Frontiers in Human Neuroscience. 13. 152–152. 6 indexed citations
8.
Jiang, Shenlong, Hongzhi Qi, Jie Zhang, et al.. (2019). A Pilot Study on Falling-Risk Detection Method Based on Postural Perturbation Evoked Potential Features. Sensors. 19(24). 5554–5554. 1 indexed citations
9.
10.
Wang, Kun, Zhongpeng Wang, Peng Zhou, et al.. (2016). MEP Analysis of Hand Motor Imagery with Bimanual Coordination Under Transcranial Magnetic Stimulation. Journal of Advanced Computational Intelligence and Intelligent Informatics. 20(3). 462–466. 1 indexed citations
11.
Ke, Yufeng, et al.. (2015). Training and testing ERP-BCIs under different mental workload conditions. Journal of Neural Engineering. 13(1). 16007–16007. 15 indexed citations
12.
Zhang, Ying, Chunfang Wang, Changcheng Sun, et al.. (2015). Neural complexity in patients with poststroke depression: A resting EEG study. Journal of Affective Disorders. 188. 310–318. 36 indexed citations
13.
Yi, Weibo, Shuang Qiu, Kun Wang, et al.. (2014). Evaluation of EEG Oscillatory Patterns and Cognitive Process during Simple and Compound Limb Motor Imagery. PLoS ONE. 9(12). e114853–e114853. 62 indexed citations
14.
Cao, Hongbao, Dong Ming, Hongzhi Qi, et al.. (2014). Analysis of EEG activity in response to binaural beats with different frequencies. International Journal of Psychophysiology. 94(3). 399–406. 113 indexed citations
15.
Liu, Yong‐Jin, Lu Wang, Jiapeng Xu, et al.. (2013). Image Processing and Recognition of Multiple Static Hand Gestures for Human-Computer Interaction. 27. 465–470. 3 indexed citations
16.
Xu, Minpeng, Hongzhi Qi, Baikun Wan, et al.. (2013). A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature. Journal of Neural Engineering. 10(2). 26001–26001. 111 indexed citations
17.
Ma, Lan, Lixin Zhang, Minpeng Xu, et al.. (2012). A hybrid brain-computer interface combining the EEG and NIRS. The HKU Scholars Hub (University of Hong Kong). 121. 159–162. 7 indexed citations
18.
Qi, Hongzhi, Minpeng Xu, Wen Li, et al.. (2010). Feature selection study of P300 speller using support vector machine. Discovery Research Portal (University of Dundee). 117. 1331–1334. 2 indexed citations
19.
Qi, Hongzhi, et al.. (2009). Independent component analysis using clustering on motor imagery EEG. PubMed. 2009. 4735–4738. 1 indexed citations
20.
Qi, Hongzhi. (2004). Electroencephalogram Power Spectrum of Alzheimer′s Dementia. Journal of Tianjin University Science and Technology. 1 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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