Geng-Shen Fu

903 total citations
30 papers, 578 citations indexed

About

Geng-Shen Fu is a scholar working on Signal Processing, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Geng-Shen Fu has authored 30 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 11 papers in Analytical Chemistry and 7 papers in Artificial Intelligence. Recurrent topics in Geng-Shen Fu's work include Blind Source Separation Techniques (19 papers), Spectroscopy and Chemometric Analyses (11 papers) and Medical Imaging Techniques and Applications (6 papers). Geng-Shen Fu is often cited by papers focused on Blind Source Separation Techniques (19 papers), Spectroscopy and Chemometric Analyses (11 papers) and Medical Imaging Techniques and Applications (6 papers). Geng-Shen Fu collaborates with scholars based in United States, Israel and Brazil. Geng-Shen Fu's co-authors include Tülay Adalı, Matthew Anderson, Ronald Phlypo, Matthew Anderson, Vince D. Calhoun, Tülay Adalı, Zois Boukouvalas, Xi-Lin Li, Sai Ma and Shiv Vitaladevuni and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Geng-Shen Fu

29 papers receiving 555 citations

Peers

Geng-Shen Fu
Matthew Anderson United States
Mika Inki Finland
Anna Senft Miller United Kingdom
N.B. Karayiannis United States
Matthew Anderson United States
Geng-Shen Fu
Citations per year, relative to Geng-Shen Fu Geng-Shen Fu (= 1×) peers Matthew Anderson

Countries citing papers authored by Geng-Shen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Geng-Shen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geng-Shen Fu. 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 Geng-Shen Fu. The network helps show where Geng-Shen Fu may publish in the future.

Co-authorship network of co-authors of Geng-Shen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Geng-Shen Fu. A scholar is included among the top collaborators of Geng-Shen Fu 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 Geng-Shen Fu. Geng-Shen Fu 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.
Fu, Geng-Shen, Blake R. Rushing, Lee M. Graves, et al.. (2025). Multi-omics signature of healthy versus unhealthy lifestyles reveals associations with diseases. Human Genomics. 19(1). 101–101.
2.
Liu, Hongyi, Yuriy Mishchenko, Thibaud Sénéchal, et al.. (2020). Metadata-Aware End-to-End Keyword Spotting. OpenBU (Boston University). 3 indexed citations
3.
Boukouvalas, Zois, et al.. (2018). Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization. 403–407. 4 indexed citations
4.
Levin‐Schwartz, Yuri, et al.. (2016). The role of diversity in complex ICA algorithms for fMRI analysis. Journal of Neuroscience Methods. 264. 129–135. 23 indexed citations
5.
Boukouvalas, Zois, Geng-Shen Fu, & Tülay Adalı. (2015). An efficient multivariate generalized Gaussian distribution estimator: Application to IVA. 1–4. 25 indexed citations
6.
Adalı, Tülay, Matthew Anderson, & Geng-Shen Fu. (2014). Diversity in Independent Component and Vector Analyses: Identifiability, algorithms, and applications in medical imaging. IEEE Signal Processing Magazine. 31(3). 18–33. 154 indexed citations
7.
Fu, Geng-Shen, Matthew Anderson, & Tülay Adalı. (2014). Likelihood Estimators for Dependent Samples and Their Application to Order Detection. IEEE Transactions on Signal Processing. 62(16). 4237–4244. 29 indexed citations
9.
Fu, Geng-Shen, et al.. (2014). Blind Source Separation by Entropy Rate Minimization. IEEE Transactions on Signal Processing. 62(16). 4245–4255. 35 indexed citations
10.
Ma, Sai, et al.. (2014). A novel approach for assessing reliability of ICA for FMRI analysis. 2084–2088. 29 indexed citations
11.
Adalı, Tülay, Matthew Anderson, & Geng-Shen Fu. (2014). Diversity in Independent Component and Vector Analyses. 2 indexed citations
12.
Fu, Geng-Shen, Ronald Phlypo, Matthew Anderson, Xi-Lin Li, & Tülay Adalı. (2014). An efficient entropy rate estimator for complex-valued signal processing: Application to ICA. SPIRE - Sciences Po Institutional REpository. 57. 6216–6220. 6 indexed citations
13.
Fu, Geng-Shen, et al.. (2014). Complex Independent Component Analysis Using Three Types of Diversity: Non-Gaussianity, Nonwhiteness, and Noncircularity. IEEE Transactions on Signal Processing. 63(3). 794–805. 25 indexed citations
14.
Fu, Geng-Shen, Ronald Phlypo, Matthew Anderson, Xi-Lin Li, & Tülay Adalı. (2013). Algorithms for Markovian source separation by entropy rate minimization. SPIRE - Sciences Po Institutional REpository. 7 indexed citations
15.
Anderson, Matthew, Geng-Shen Fu, Ronald Phlypo, & Tülay Adalı. (2013). Independent vector analysis, the Kotz distribution, and performance bounds. SPIRE - Sciences Po Institutional REpository. 3243–3247. 31 indexed citations
16.
Cai, Ling, et al.. (2010). A very-high resolution SPECT system based on the energy-resolved photon counting CdTe detectors. 13. 2788–2792. 5 indexed citations
17.
Rivière, Patrick J. La, et al.. (2009). Accelerating X-ray fluorescence computed tomography. PubMed. 24. 1000–1003. 4 indexed citations
18.
Meng, Ling-Jian, et al.. (2008). An ultrahigh resolution SPECT system for I-125 mouse brain imaging studies. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(2). 498–505. 27 indexed citations
20.
Fu, Geng-Shen, et al.. (2008). Investigation of the Intrinsic Spatial Resolution of an Intensified EMCCD Scintillation Camera. IEEE Transactions on Nuclear Science. 55(5). 2508–2517. 17 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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