Yeung Sam Hung

755 total citations
34 papers, 509 citations indexed

About

Yeung Sam Hung is a scholar working on Cognitive Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yeung Sam Hung has authored 34 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yeung Sam Hung's work include EEG and Brain-Computer Interfaces (11 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (7 papers). Yeung Sam Hung is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (7 papers). Yeung Sam Hung collaborates with scholars based in Hong Kong, China and United States. Yeung Sam Hung's co-authors include Chunqi Chang, Yiheng Tu, Zhiguo Zhang, Li Hu, P. C. W. Fung, Zhi Ding, Massieh Moayedi, Dongkun Han, Zhiguo Zhang and Gian Domenico Iannetti and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Communications.

In The Last Decade

Yeung Sam Hung

34 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeung Sam Hung Hong Kong 12 197 146 93 64 35 34 509
Suparerk Janjarasjitt Thailand 11 242 1.2× 73 0.5× 54 0.6× 42 0.7× 74 2.1× 33 551
Tian Lan China 16 130 0.7× 205 1.4× 47 0.5× 114 1.8× 8 0.2× 72 825
Zhe Li China 16 49 0.2× 65 0.4× 57 0.6× 18 0.3× 18 0.5× 68 625
Balaji Narayanan United States 10 284 1.4× 109 0.7× 26 0.3× 24 0.4× 8 0.2× 29 578
Duo Chen China 11 375 1.9× 52 0.4× 28 0.3× 72 1.1× 15 0.4× 29 601
María García Spain 19 378 1.9× 54 0.4× 137 1.5× 106 1.7× 5 0.1× 46 1.3k
Xianzeng Liu China 12 337 1.7× 72 0.5× 19 0.2× 73 1.1× 60 1.7× 19 739
Andrzej W. Przybyszewski United States 12 248 1.3× 91 0.6× 21 0.2× 29 0.5× 16 0.5× 49 503

Countries citing papers authored by Yeung Sam Hung

Since Specialization
Citations

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

Fields of papers citing papers by Yeung Sam Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeung Sam Hung. 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 Yeung Sam Hung. The network helps show where Yeung Sam Hung may publish in the future.

Co-authorship network of co-authors of Yeung Sam Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Yeung Sam Hung. A scholar is included among the top collaborators of Yeung Sam Hung 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 Yeung Sam Hung. Yeung Sam Hung 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.
Hung, Yeung Sam, et al.. (2018). Articulated deformable structure approach to human motion segmentation and shape recovery from an image sequence. IET Computer Vision. 13(3). 267–276. 8 indexed citations
2.
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4.
Tu, Yiheng, et al.. (2016). Decoding Subjective Intensity of Nociceptive Pain from Pre-stimulus and Post-stimulus Brain Activities. Frontiers in Computational Neuroscience. 10. 32–32. 37 indexed citations
5.
Bai, Yanru, et al.. (2016). Normalization of Pain-Evoked Neural Reponses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction. Frontiers in Computational Neuroscience. 10. 31–31. 12 indexed citations
6.
Fong, Shirley S.M., Joanne W. Y. Chung, Hsiu‐Ching Chiu, et al.. (2016). Attention during functional tasks is associated with motor performance in children with developmental coordination disorder. Medicine. 95(37). e4935–e4935. 21 indexed citations
7.
Di, Xin, Zening Fu, S. C. Chan, et al.. (2015). Task-related functional connectivity dynamics in a block-designed visual experiment. Frontiers in Human Neuroscience. 9. 543–543. 23 indexed citations
8.
Hung, Yeung Sam, et al.. (2015). Non-Rigid Structure from Motion through Estimation of Blend Shapes. 1–7. 1 indexed citations
9.
Tu, Yiheng, Zhiguo Zhang, Weiwei Peng, et al.. (2015). Alpha and gamma oscillation amplitudes synergistically predict the perception of forthcoming nociceptive stimuli. Human Brain Mapping. 37(2). 501–514. 104 indexed citations
10.
Tu, Yiheng, Yeung Sam Hung, Li Hu, & Zhiguo Zhang. (2015). PCA-SIR: A new nonlinear supervised dimension reduction method with application to pain prediction from EEG. The HKU Scholars Hub (University of Hong Kong). 24. 1004–1007. 3 indexed citations
11.
Tu, Yiheng, Yeung Sam Hung, Li Hu, et al.. (2014). An automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface. Clinical Neurophysiology. 125(12). 2372–2383. 12 indexed citations
12.
Tu, Yiheng, Yeung Sam Hung, Zhiguo Zhang, & Li Hu. (2014). Prediction of pain perception using multivariate pattern analysis of laser-evoked EEG oscillations. 13–16. 5 indexed citations
13.
Hung, Yeung Sam, et al.. (2013). Meta-analysis on gene regulatory networks discovered by pairwise Granger causality. 123–128. 5 indexed citations
14.
Terashima, Keita, Alexander Yu, Peikai Chen, et al.. (2013). Genome‐wide analysis of DNA copy number alterations and loss of heterozygosity in intracranial germ cell tumors. Pediatric Blood & Cancer. 61(4). 593–600. 29 indexed citations
15.
Chang, Chunqi, et al.. (2012). Application of Granger causality to gene regulatory network discovery. The HKU Scholars Hub (University of Hong Kong). 232–239. 9 indexed citations
16.
Han, Dongkun, Graziano Chesi, & Yeung Sam Hung. (2012). Robust Consensus for a Class of Uncertain Multi-Agent Dynamical Systems. IEEE Transactions on Industrial Informatics. 9(1). 306–312. 38 indexed citations
17.
Leung, Yuk Yee, Chunqi Chang, & Yeung Sam Hung. (2012). An Integrated Approach for Identifying Wrongly Labelled Samples When Performing Classification in Microarray Data. PLoS ONE. 7(10). e46700–e46700. 6 indexed citations
18.
Han, Dongkun, Graziano Chesi, & Yeung Sam Hung. (2011). Synchronization seeking in multi-agent dynamic systems with communication uncertainties. The HKU Scholars Hub (University of Hong Kong). 42. 656–661. 1 indexed citations
19.
Hung, Yeung Sam, et al.. (2009). Detecting Outlier Samples in Microarray Data. Statistical Applications in Genetics and Molecular Biology. 8(1). Article 13–Article 13. 53 indexed citations
20.
Chang, Chunqi, Yeung Sam Hung, & Zhi Ding. (2009). A new optimization algorithm for network component analysis based on convex programming. 509–512. 2 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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