Fengzhen Hou

474 total citations
29 papers, 334 citations indexed

About

Fengzhen Hou is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Fengzhen Hou has authored 29 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 5 papers in Economics and Econometrics and 4 papers in Molecular Biology. Recurrent topics in Fengzhen Hou's work include Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Functional Brain Connectivity Studies (11 papers). Fengzhen Hou is often cited by papers focused on Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Functional Brain Connectivity Studies (11 papers). Fengzhen Hou collaborates with scholars based in China, United States and Australia. Fengzhen Hou's co-authors include Albert C. Yang, Xinyu Liu, Fengguo Xu, Jin Li, Jun Wang, Huiping Li, Yan Ma, Jiaolong Qin, Li Song and Chung‐Kang Peng and has published in prestigious journals such as Journal of the American Ceramic Society, SLEEP and BMC Bioinformatics.

In The Last Decade

Fengzhen Hou

27 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengzhen Hou China	12	206	70	46	45	35	29	334
Xiaopeng Si China	12	188 0.9×	45 0.6×		7 0.2×	19 0.5×	28	319
Сергей Борисов Finland	11	436 2.1×	36 0.5×	1 0.0×	4 0.1×	78 2.2×	15	492
Jayasree Santhosh India	6	374 1.8×	84 1.2×		20 0.4×	147 4.2×	21	545
R. de la Rosa Spain	10	214 1.0×	13 0.2×		7 0.2×	67 1.9×	20	369
Nguyen Thanh Duc South Korea	10	202 1.0×	24 0.3×		6 0.1×	32 0.9×	16	557
Chun-Ling Lin Taiwan	7	171 0.8×	36 0.5×		14 0.3×	31 0.9×	7	239
Viiu Tuulik Estonia	10	166 0.8×	15 0.2×		4 0.1×	47 1.3×	27	382
Yonghua Wei United States	5	315 1.5×	27 0.4×		86 1.9×	8 0.2×	9	468
Yueying Zhou China	11	281 1.4×	93 1.3×		5 0.1×	27 0.8×	32	391

Countries citing papers authored by Fengzhen Hou

Since Specialization

Citations

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

Fields of papers citing papers by Fengzhen Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengzhen Hou

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

All Works

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20 of 20 papers shown

Wang, Yu, et al.. (2025). Enhancing biomedical named entity recognition with parallel boundary detection and category classification. BMC Bioinformatics. 26(1). 63–63. 1 indexed citations

Xiao, Weiwei, et al.. (2022). Automatic Sleep Staging Based on Single-Channel EEG Signal Using Null Space Pursuit Decomposition Algorithm. Axioms. 12(1). 30–30. 2 indexed citations

Wang, Yitian, Zixin Chen, Jin Li, et al.. (2021). Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography. Frontiers in Physiology. 12. 628502–628502. 49 indexed citations

Zhang, Lulu, et al.. (2020). Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment. Frontiers in Neuroscience. 14. 558434–558434. 19 indexed citations

Xiong, Hui, Pengjian Shang, Fengzhen Hou, & Yan Ma. (2019). Visibility graph analysis of temporal irreversibility in sleep electroencephalograms. Nonlinear Dynamics. 96(1). 1–11. 20 indexed citations

Qin, Jiaolong, et al.. (2019). Abnormal topology of brain functional networks in unipolar depression and bipolar disorder using optimal graph thresholding. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 96. 109758–109758. 28 indexed citations

Yin, Yi, et al.. (2019). Quantifying interdependence using the missing joint ordinal patterns. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(7). 73114–73114. 2 indexed citations

Hou, Fengzhen, et al.. (2018). Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset. Frontiers in Neuroscience. 12. 809–809. 11 indexed citations

Zhu, Wenyong, et al.. (2018). Analysis of α Wave in Normal and Epileptic EEG Signals Based on Symbol-Relative Entropy. 1–9. 3 indexed citations

10.

Ma, Yan, et al.. (2018). Symbolic dynamics of electroencephalography is associated with the sleep depth and overall sleep quality in healthy adults. Physica A Statistical Mechanics and its Applications. 513. 22–31. 9 indexed citations

11.

Sun, Ting, et al.. (2018). Analysis of Epilepsy EEG and ECG Correlation Based on IRC Algorithm. 398–401. 1 indexed citations

12.

Liu, Cong, et al.. (2018). Topological reorganization of EEG functional network is associated with the severity and cognitive impairment in Alzheimer’s disease. Physica A Statistical Mechanics and its Applications. 513. 588–597. 7 indexed citations

13.

Li, Jin, et al.. (2018). Research of EEG Signal Based on Permutation Entropy and Limited Penetrable Visibility Graph. 1–5. 1 indexed citations

14.

Hou, Fengzhen, Cong Liu, Junying Zhang, et al.. (2018). Age-Related Alterations in Electroencephalography Connectivity and Network Topology During n-Back Working Memory Task. Frontiers in Human Neuroscience. 12. 27 indexed citations

15.

Yan, Wei, et al.. (2017). Analysis of Magnetoencephalography based on symbolic transfer entropy. 60. 1–5. 2 indexed citations

16.

Qin, Jiaolong, et al.. (2017). Network analysis in detection of early-stage mild cognitive impairment. Physica A Statistical Mechanics and its Applications. 478. 113–119. 14 indexed citations

17.

Li, Jin, et al.. (2016). [Epilepsy Electroencephalogram Signal Analysis Based on Improved k-nearest Neighbor Network].. PubMed. 33(6). 1039–45. 3 indexed citations

18.

Wang, Jun, et al.. (2016). Coupling analysis of epileptic EEG signals based on the multiscale mutual model entropy.

19.

Zhang, Bing, Qi Chen, Li Song, et al.. (2008). Fabrication and properties of novel low-melting glasses in the ternary system ZnO–Sb2O3–P2O5. Journal of Non-Crystalline Solids. 354(18). 1948–1954. 36 indexed citations

20.

Zhang, Bing, et al.. (2008). The Influence of Sb ₂ O ₃ Addition on the Properties of Low‐melting ZnO–P ₂ O ₅ Glasses. Journal of the American Ceramic Society. 91(6). 2036–2038. 15 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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