Emad M. Grais

911 total citations
34 papers, 540 citations indexed

About

Emad M. Grais is a scholar working on Signal Processing, Computational Mechanics and Otorhinolaryngology. According to data from OpenAlex, Emad M. Grais has authored 34 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 13 papers in Computational Mechanics and 6 papers in Otorhinolaryngology. Recurrent topics in Emad M. Grais's work include Speech and Audio Processing (28 papers), Blind Source Separation Techniques (18 papers) and Advanced Adaptive Filtering Techniques (13 papers). Emad M. Grais is often cited by papers focused on Speech and Audio Processing (28 papers), Blind Source Separation Techniques (18 papers) and Advanced Adaptive Filtering Techniques (13 papers). Emad M. Grais collaborates with scholars based in United Kingdom, Türkiye and China. Emad M. Grais's co-authors include Hakan Erdoğan, Mark D. Plumbley, Mehmet Umut Şen, Gerard Roma, Andrew Simpson, Fei Zhao, Yuexin Cai, Hagen Wierstorf, Jie Wang and Russell Mason and has published in prestigious journals such as Scientific Reports, The Laryngoscope and BMJ Open.

In The Last Decade

Emad M. Grais

33 papers receiving 506 citations

Peers

Countries citing papers authored by Emad M. Grais

Since Specialization

Citations

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

Fields of papers citing papers by Emad M. Grais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emad M. Grais. 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 Emad M. Grais. The network helps show where Emad M. Grais may publish in the future.

Co-authorship network of co-authors of Emad M. Grais

This figure shows the co-authorship network connecting the top 25 collaborators of Emad M. Grais. A scholar is included among the top collaborators of Emad M. Grais 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 Emad M. Grais. Emad M. Grais 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

#	Work	Indexed citations
1	Age effect on wideband absorbance in people with normal middle ear function: a systematic review 2025 ·International Journal of Audiology ·Fei Zhao, Suresh Sundaram, Ellis L. Jones, (unknown), Lifang Zhang, Jie Wang, Emad M. Grais, (unknown), (unknown), (unknown)	0
2	An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance 2023 ·Biomedical Signal Processing and Control ·Emad M. Grais, (unknown), Bin Zou, Xiaoya Wang, Tariq Rahim, (unknown), Shuna Li, Jie Wang, Wen Jiang, Yuexin Cai, Haidi Yang, Fei Zhao	6
3	Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing 2023 ·Emad M. Grais, (unknown), George Panoutsos	1
4	Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis 2022 ·The Laryngoscope ·(unknown), (unknown), Emad M. Grais, (unknown), Yuexin Cai, De Wet Swanepoel, Fei Zhao	15
5	Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study 2021 ·BMJ Open ·Yuexin Cai, Jin-Gang Yu, (unknown), Liu Chu, (unknown), Emad M. Grais, Fei Zhao, Liping Lan, (unknown), (unknown), (unknown), (unknown), Yuanqing Li, Yiqing Zheng	23
6	Contributions and limitations of using machine learning to predict noise-induced hearing loss 2021 ·International Archives of Occupational and Environmental Health ·(unknown), (unknown), Emad M. Grais, Fei Zhao	24
7	Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning 2021 ·Scientific Reports ·Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, (unknown), Haidi Yang	16
8	The Use of Machine Learning Tools to Analyse Wideband Absorbance Immittance in Normal and Ears With Otitis Media With Effusion 2020 ·SSRN Electronic Journal ·Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Wenqing Lin, Haidi Yang	1
9	Combining Fully Convolutional and Recurrent NeuralNetworks for Single Channel Audio Source Separation 2018 ·Journal of the Audio Engineering Society ·Emad M. Grais, Mark D. Plumbley	1
10	Perceptual Evaluation of Source Separation for RemixingMusic 2017 ·Journal of the Audio Engineering Society ·Hagen Wierstorf, (unknown), Russell Mason, Emad M. Grais, (unknown), Mark D. Plumbley	7
11	Single Channel Audio Source Separation using Deep Neural Network Ensembles 2016 ·Journal of the Audio Engineering Society ·Emad M. Grais, Gerard Roma, Andrew Simpson, Mark D. Plumbley	12
12	Remixing musical audio on the web using source separation 2016 ·Surrey Research Insight Open Access (The University of Surrey) ·Gerard Roma, Andrew Simpson, Emad M. Grais, Mark D. Plumbley	4
13	Deep neural networks for single channel source separation 2014 ·View ·Emad M. Grais, Mehmet Umut Şen, Hakan Erdoğan	80
14	Spectro-temporal post-enhancement using MMSE estimation in NMF based single-channel source separation 2013 ·Emad M. Grais, Hakan Erdoğan	10
15	Discriminative nonnegative dictionary learning using cross-coherence penalties for single channel source separation 2013 ·Emad M. Grais, Hakan Erdoğan	36
16	Spectro-temporal post-smoothing in NMF based single-channel source separation 2012 ·Sabanci University ·Emad M. Grais, Hakan Erdoğan	10
17	Hidden Markov models as priors for regularized nonnegative matrix factorization in single-channel source separation 2012 ·Emad M. Grais, Hakan Erdoğan	8
18	Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation 2012 ·Computer Speech & Language ·Emad M. Grais, Hakan Erdoğan	24
19	Single channel speech music separation using nonnegative matrix factorization and spectral masks 2011 ·View ·Emad M. Grais, Hakan Erdoğan	56
20	Single channel speech-music separation using matching pursuit and spectral masks 2011 ·Emad M. Grais, Hakan Erdoğan	9

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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