Dias Issa

704 total citations · 1 hit paper
5 papers, 483 citations indexed

About

Dias Issa is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Dias Issa has authored 5 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 2 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Dias Issa's work include Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers) and Speech Recognition and Synthesis (2 papers). Dias Issa is often cited by papers focused on Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers) and Speech Recognition and Synthesis (2 papers). Dias Issa collaborates with scholars based in South Korea, United States and Kazakhstan. Dias Issa's co-authors include M. Fatih Demirci, Adnan Yazıcı, Mark Hasegawa‐Johnson, Chang D. Yoo, Young-Hoon Jung, Gwangsu Kim, Keon Jae Lee, Bo‐Yeon Lee, Trung X. Pham and Sunghun Kang and has published in prestigious journals such as Nano Energy, Speech Communication and Biomedical Signal Processing and Control.

In The Last Decade

Dias Issa

5 papers receiving 456 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Speech emotion recognition with deep convolutional neural networks

2020 388 citations Dias Issa, M. Fatih Demirci et al. Biomedical Signal Processing and Control profile →

Peers

Dias Issa

ECP

SP

AI

CVPR

CN

Seyedmahdad Mirsamadi United States

Duc Le United States

Panikos Heracleous Japan

Hideki Banno Japan

Ryuichi Nisimura Japan

Michalis Papakostas United States

Slim Ouni France

Yaacob Sazali Malaysia

Parham Mokhtari Japan

Joëlle Tilmanne Belgium

Seyedmahdad Mirsamadi United States

Dias Issa

385 ×1.2

ECP

422 ×1.4

SP

317 ×2.0

AI

95 ×1.3

CVPR

55 ×1.1

CN

Citations per year, relative to Dias Issa Dias Issa (= 1×) peers Seyedmahdad Mirsamadi

Countries citing papers authored by Dias Issa

Since Specialization

Citations

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

Fields of papers citing papers by Dias Issa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dias Issa

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

All Works

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5 of 5 papers shown

1.

Issa, Dias, et al.. (2023). Panoramic image generation using deep neural networks. Soft Computing. 27(13). 8679–8695. 1 indexed citations

2.

Jung, Young-Hoon, Trung X. Pham, Dias Issa, et al.. (2022). Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing. Nano Energy. 101. 107610–107610. 57 indexed citations

3.

Kang, Sunghun, et al.. (2021). Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Communication. 136. 76–83. 10 indexed citations

4.

Issa, Dias, et al.. (2021). Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary. 6428–6432. 27 indexed citations

5.

Issa, Dias, M. Fatih Demirci, & Adnan Yazıcı. (2020). Speech emotion recognition with deep convolutional neural networks. Biomedical Signal Processing and Control. 59. 101894–101894. 388 indexed citations breakdown →

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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