Stephen So

634 total citations
46 papers, 430 citations indexed

About

Stephen So is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Stephen So has authored 46 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Stephen So's work include Speech and Audio Processing (20 papers), Advanced Data Compression Techniques (18 papers) and Advanced Adaptive Filtering Techniques (11 papers). Stephen So is often cited by papers focused on Speech and Audio Processing (20 papers), Advanced Data Compression Techniques (18 papers) and Advanced Adaptive Filtering Techniques (11 papers). Stephen So collaborates with scholars based in Australia, India and Puerto Rico. Stephen So's co-authors include K.K. Paliwal, Kuldip K. Paliwal, Hong Guan, Jun Jo, Belinda Schwerin, K.K. Paliwal, Kamil Wójcicki, James Lyons, Kelly A. Weir and Brent Richards and has published in prestigious journals such as IEEE Signal Processing Magazine, Applied Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

Stephen So

38 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen So Australia	12	254	137	127	99	91	46	430
Shimin Zhang China	9	502 2.0×	191 1.4×	54 0.4×	118 1.2×	337 3.7×	27	692
Yoshiaki Bando Japan	16	523 2.1×	214 1.6×	65 0.5×	16 0.2×	127 1.4×	87	690
Sebastian Braun United States	15	592 2.3×	335 2.4×	49 0.4×	42 0.4×	222 2.4×	44	716
Bachir Boudraa Algeria	10	102 0.4×	47 0.3×	114 0.9×	65 0.7×	100 1.1×	40	380
Bram Cornelis Belgium	11	246 1.0×	194 1.4×	17 0.1×	128 1.3×	45 0.5×	28	499
Jinwoo Yoo South Korea	11	359 1.4×	336 2.5×	123 1.0×	22 0.2×	22 0.2×	51	536
Hisashi Uematsu Japan	9	192 0.8×	12 0.1×	58 0.5×	44 0.4×	155 1.7×	15	319
Feiran Yang China	15	583 2.3×	547 4.0×	61 0.5×	36 0.4×	48 0.5×	74	716
Fabio Vesperini Italy	10	242 1.0×	10 0.1×	83 0.7×	51 0.5×	223 2.5×	15	444
Huan Zhou China	12	75 0.3×	19 0.1×	125 1.0×	21 0.2×	63 0.7×	42	366

Countries citing papers authored by Stephen So

Since Specialization

Citations

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

Fields of papers citing papers by Stephen So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen So

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen So. A scholar is included among the top collaborators of Stephen So 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 Stephen So. Stephen So 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

So, Stephen, et al.. (2025). Using Machine Learning for the Automated Segmentation and Detection of Swallows Obtained by Digital Cervical Auscultation in Preterm Neonates. Dysphagia. 41(1). 275–284.

So, Stephen, et al.. (2025). Robust U-Nets for Fetal R-Peak Identification in Electrocardiography. Algorithms. 18(8). 487–487.

So, Stephen, et al.. (2025). Use of Transfer Learning for the Automated Segmentation and Detection of Swallows via Digital Cervical Auscultation in Children. Dysphagia. 40(6). 1371–1380.

Frakking, Thuy, Anne B. Chang, Belinda Schwerin, et al.. (2025). Acoustic and Perceptual Profiles of Swallowing Sounds in Preterm Neonates: A Cross-Sectional Study Cohort. Dysphagia. 40(5). 1113–1123.

Schwerin, Belinda, et al.. (2024). U-Net Based Fetal R-peak Prediction From Abdominal ECG Signals. 121–125.

Frakking, Thuy, Anne B. Chang, Christopher P. Carty, et al.. (2022). Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children. Dysphagia. 37(6). 1482–1492. 11 indexed citations

Schwerin, Belinda, et al.. (2019). Using Dynamic Time Warping for Noise Robust ECG R-peak Detection. Griffith Research Online (Griffith University, Queensland, Australia). 1–7.

McConnell, Meghan, Belinda Schwerin, Stephen So, & Brent Richards. (2019). RR-APET - Heart rate variability analysis software. Computer Methods and Programs in Biomedicine. 185. 105127–105127. 8 indexed citations

So, Stephen, et al.. (2018). Investigation of DNN Prediction of Power Spectral Envelopes for Speech Coding & ASR. 4 indexed citations

10.

So, Stephen, et al.. (2018). Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise. Speech Communication. 105. 62–76. 15 indexed citations

11.

So, Stephen, et al.. (2016). A Non-Iterative Kalman Filtering Algorithm with Dynamic Gain Adjustment for Single-Channel Speech Enhancement. Griffith Research Online (Griffith University, Queensland, Australia). 263–268. 11 indexed citations

12.

So, Stephen, et al.. (2016). Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech. Circuits Systems and Signal Processing. 36(4). 1476–1492. 19 indexed citations

13.

So, Stephen. (2012). Refined 'chalk-and-talk' of lecture content: Teaching signals and systems at the Griffith school of engineering. Griffith Research Online (Griffith University, Queensland, Australia). 1087. 5 indexed citations

14.

So, Stephen, Kamil Wójcicki, & Kuldip K. Paliwal. (2010). Single-channel speech enhancement using kalman filtering in the modulation domain. 993–996. 11 indexed citations

15.

So, Stephen & K.K. Paliwal. (2008). A long state vector kalman filter for speech enhancement. 391–394. 5 indexed citations

16.

So, Stephen & K.K. Paliwal. (2005). Switched split vector quantisation of line spectral frequencies for wideband speech coding. 2705–2708. 9 indexed citations

17.

So, Stephen & K.K. Paliwal. (2005). Scalable distributed speech recognition using Gaussian mixture model-based block quantisation. Speech Communication. 48(6). 746–758. 13 indexed citations

18.

So, Stephen & K.K. Paliwal. (2005). Multi-frame GMM-based block quantisation of line spectral frequencies. Speech Communication. 47(3). 265–276. 6 indexed citations

19.

So, Stephen & K.K. Paliwal. (2005). A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding. Digital Signal Processing. 17(1). 114–137. 26 indexed citations

20.

So, Stephen, Jinhwan Kim, & J.H. Kim. (2004). VERIFICATION OF GRAPHEMES USING NEURAL NETWORKS IN AN HMMBASED ONLINE KOREAN HANDWRITING RECOGNITION SYSTEM. Data Archiving and Networked Services (DANS). 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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