Vidhyasaharan Sethu

2.0k total citations
113 papers, 1.4k citations indexed

About

Vidhyasaharan Sethu is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Vidhyasaharan Sethu has authored 113 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 69 papers in Signal Processing and 33 papers in Experimental and Cognitive Psychology. Recurrent topics in Vidhyasaharan Sethu's work include Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (57 papers) and Music and Audio Processing (32 papers). Vidhyasaharan Sethu is often cited by papers focused on Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (57 papers) and Music and Audio Processing (32 papers). Vidhyasaharan Sethu collaborates with scholars based in Australia, Singapore and United Kingdom. Vidhyasaharan Sethu's co-authors include Eliathamby Ambikairajah, Julien Epps, Nicholas Cummins, Jarek Krajewski, Haizhou Li, Phu Ngoc Le, Rose Amal, Wey Yang Teoh, Hassan Masood and Cui Ying Toe and has published in prestigious journals such as ACS Catalysis, Journal of Hydrology and The Journal of the Acoustical Society of America.

In The Last Decade

Vidhyasaharan Sethu

102 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidhyasaharan Sethu Australia 21 748 609 561 194 136 113 1.4k
Lang He China 16 243 0.3× 90 0.1× 662 1.2× 333 1.7× 211 1.6× 52 1.1k
M. Popović Serbia 17 115 0.2× 128 0.2× 82 0.1× 143 0.7× 335 2.5× 56 1.3k
Zheng Lian China 22 749 1.0× 390 0.6× 862 1.5× 168 0.9× 364 2.7× 87 1.5k
Naoyuki Kanda United States 23 1.9k 2.6× 1.5k 2.5× 152 0.3× 42 0.2× 177 1.3× 82 2.3k
Heysem Kaya Türkiye 20 457 0.6× 280 0.5× 599 1.1× 155 0.8× 397 2.9× 61 1.2k
Panagiotis Tzirakis United Kingdom 15 479 0.6× 492 0.8× 824 1.5× 152 0.8× 354 2.6× 29 1.4k
Murat Akçakaya United States 18 110 0.1× 74 0.1× 125 0.2× 40 0.2× 44 0.3× 105 1.1k
Ziyu Jia China 20 188 0.3× 149 0.2× 417 0.7× 15 0.1× 137 1.0× 64 1.3k
Xiaodan Yan China 18 116 0.2× 88 0.1× 47 0.1× 26 0.1× 52 0.4× 53 1.1k
Shahid Ali Malaysia 13 73 0.1× 29 0.0× 185 0.3× 53 0.3× 187 1.4× 39 998

Countries citing papers authored by Vidhyasaharan Sethu

Since Specialization
Citations

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

Fields of papers citing papers by Vidhyasaharan Sethu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidhyasaharan Sethu

This figure shows the co-authorship network connecting the top 25 collaborators of Vidhyasaharan Sethu. A scholar is included among the top collaborators of Vidhyasaharan Sethu 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 Vidhyasaharan Sethu. Vidhyasaharan Sethu 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.
Ambikairajah, Eliathamby, et al.. (2024). A Tiered Learning Framework for Self-Guided Engineering Design Education. 1–5. 1 indexed citations
2.
Sethu, Vidhyasaharan, et al.. (2024). Full prediction of band potentials in semiconductor materials. Materials Today Physics. 46. 101519–101519. 3 indexed citations
3.
Sethu, Vidhyasaharan, et al.. (2024). A Probability Gradient Based Approach for Sampling Boundaries of In-Domain Data. 5340–5344.
4.
Sethu, Vidhyasaharan, et al.. (2023). What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions. arXiv (Cornell University). 2898–2902.
5.
Gunawan, Denny, Alireza Khataee, Ramazan Keyikoğlu, et al.. (2023). Predicting the rates of photocatalytic hydrogen evolution over cocatalyst-deposited TiO 2 using machine learning with active photon flux as a unifying feature. Australasian Journal of Paramedicine. 2(2). 612–623. 12 indexed citations
6.
Ramandi, Hamed Lamei, et al.. (2022). FracDetect: A novel algorithm for 3D fracture detection in digital fractured rocks. Journal of Hydrology. 607. 127482–127482. 14 indexed citations
7.
Dang, Ting, et al.. (2022). A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 11. 8567–8571. 2 indexed citations
8.
Sethu, Vidhyasaharan, et al.. (2021). Parametric Distributions to Model Numerical Emotion Labels. 4498–4502. 2 indexed citations
9.
Sethu, Vidhyasaharan, et al.. (2020). An analysis of speaker dependent models in replay detection. APSIPA Transactions on Signal and Information Processing. 9(1). 1 indexed citations
10.
Masood, Hassan, Cui Ying Toe, Wey Yang Teoh, Vidhyasaharan Sethu, & Rose Amal. (2019). Machine Learning for Accelerated Discovery of Solar Photocatalysts. ACS Catalysis. 9(12). 11774–11787. 139 indexed citations
11.
Sethu, Vidhyasaharan, et al.. (2018). Modulation Dynamic Features for the Detection of Replay Attacks. 691–695. 47 indexed citations
12.
Dang, Ting, Brian Stasak, Zhaocheng Huang, et al.. (2017). Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017. UNSWorks (University of New South Wales, Sydney, Australia). 27–35. 29 indexed citations
13.
Cummins, Nicholas, Vidhyasaharan Sethu, Julien Epps, et al.. (2017). Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech. IEEE Transactions on Affective Computing. 11(2). 272–283. 33 indexed citations
14.
Sethu, Vidhyasaharan, et al.. (2017). Gaussian Process Regression for Continuous Emotion Recognition with Global Temporal Invariance. International Joint Conference on Artificial Intelligence. 34–44. 7 indexed citations
15.
Sethu, Vidhyasaharan, et al.. (2017). Duration compensation of i‐vectors for short duration speaker verification. Electronics Letters. 53(6). 405–407. 5 indexed citations
16.
Sethu, Vidhyasaharan, et al.. (2017). Incorporating Local Acoustic Variability Information into Short Duration Speaker Verification. 1502–1506. 2 indexed citations
17.
Sethu, Vidhyasaharan, et al.. (2015). An i-vector GPLDA system for speech based emotion recognition. 289–292. 6 indexed citations
18.
Ambikairajah, Eliathamby, et al.. (2012). PNCC-ivector-SRC based speaker verification. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–7. 7 indexed citations
19.
Ambikairajah, Eliathamby, Haizhou Li, Liang Wang, Bo Yin, & Vidhyasaharan Sethu. (2011). Language Identification: A Tutorial. IEEE Circuits and Systems Magazine. 11(2). 82–108. 104 indexed citations
20.
Le, Phu Ngoc, Eliathamby Ambikairajah, & Vidhyasaharan Sethu. (2008). Speech enhancement based on empirical mode decomposition. International Conference on Signal Processing. 207–210. 1 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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