Yu Shiu

1.1k total citations
31 papers, 512 citations indexed

About

Yu Shiu is a scholar working on Signal Processing, Ecology and Developmental Biology. According to data from OpenAlex, Yu Shiu has authored 31 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 14 papers in Ecology and 10 papers in Developmental Biology. Recurrent topics in Yu Shiu's work include Marine animal studies overview (14 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (12 papers). Yu Shiu is often cited by papers focused on Marine animal studies overview (14 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (12 papers). Yu Shiu collaborates with scholars based in United States, United Kingdom and Australia. Yu Shiu's co-authors include Sara Keen, Peter H. Wrege, Marie A. Roch, Erica Fleishman, Douglas Gillespie, Holger Klinck, Eva‐Marie Nosal, Danielle Cholewiak, Xiaobai Liu and C.‐C. Jay Kuo and has published in prestigious journals such as Scientific Reports, Global Change Biology and The Journal of the Acoustical Society of America.

In The Last Decade

Yu Shiu

29 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Shiu United States	11	327	278	158	124	73	31	512
Hervé Glotin France	12	394 1.2×	353 1.3×	188 1.2×	185 1.5×	48 0.7×	67	661
Eva‐Marie Nosal United States	16	345 1.1×	173 0.6×	386 2.4×	149 1.2×	49 0.7×	50	755
Alice Eldridge United Kingdom	12	213 0.7×	246 0.9×	27 0.2×	96 0.8×	96 1.3×	33	495
Patrick J. Clemins United States	14	457 1.4×	534 1.9×	98 0.6×	180 1.5×	14 0.2×	28	892
Andreas M. Ali United States	8	351 1.1×	397 1.4×	42 0.3×	175 1.4×	18 0.2×	16	665
Wooyeong Joo United States	5	319 1.0×	386 1.4×	32 0.2×	95 0.8×	12 0.2×	13	506
Anthony Truskinger Australia	16	437 1.3×	516 1.9×	47 0.3×	227 1.8×	37 0.5×	41	730
Sarab S. Sethi United Kingdom	10	236 0.7×	273 1.0×	46 0.3×	119 1.0×	11 0.2×	21	475
Paul Glover‐Kapfer United Kingdom	5	627 1.9×	347 1.2×	72 0.5×	85 0.7×	21 0.3×	5	804
Jason Wimmer Australia	10	507 1.6×	656 2.4×	53 0.3×	283 2.3×	31 0.4×	16	797

Countries citing papers authored by Yu Shiu

Since Specialization

Citations

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

Fields of papers citing papers by Yu Shiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shiu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Roch, Marie A., Holger Klinck, Erica Fleishman, et al.. (2023). Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms. IEEE Transactions on Multimedia. 25. 9302–9314. 7 indexed citations

Odom, Karan J., Marcelo Araya‐Salas, Janelle L. Morano, et al.. (2021). Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 96(4). 1135–1159. 39 indexed citations

Madhusudhana, Shyam, Yu Shiu, Holger Klinck, et al.. (2021). Improve automatic detection of animal call sequences with temporal context. Journal of The Royal Society Interface. 18(180). 20210297–20210297. 30 indexed citations

Shiu, Yu, Marie A. Roch, Erica Fleishman, et al.. (2020). Publisher Correction: Deep neural networks for automated detection of marine mammal species. Scientific Reports. 10(1). 11000–11000. 4 indexed citations

Shiu, Yu, Marie A. Roch, Erica Fleishman, et al.. (2020). Deep neural networks for automated detection of marine mammal species. Scientific Reports. 10(1). 607–607. 136 indexed citations

Madhusudhana, Shyam, Yu Shiu, Holger Klinck, et al.. (2020). Temporal context improves automatic recognition of call sequences in soundscape data. The Journal of the Acoustical Society of America. 148(4_Supplement). 2442–2442. 3 indexed citations

Li, Pu, Xiaobai Liu, Erica Fleishman, et al.. (2020). Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. St Andrews Research Repository (St Andrews Research Repository). 1–10. 11 indexed citations

Charif, Russell A., et al.. (2019). Phenological changes in North Atlantic right whale habitat use in Massachusetts Bay. Global Change Biology. 26(2). 734–745. 20 indexed citations

Li, Pu, Xiaobai Liu, Erica Fleishman, et al.. (2019). Deep whistle contour: Recall-guided learning from synthesis. The Journal of the Acoustical Society of America. 146(4_Supplement). 2984–2985. 1 indexed citations

10.

Root‐Gutteridge, Holly, et al.. (2018). A lifetime of changing calls: North Atlantic right whales, Eubalaena glacialis, refine call production as they age. Animal Behaviour. 137. 21–34. 25 indexed citations

11.

Ponirakis, Dimitri, et al.. (2015). High-Resolution Analysis of Seismic Air Gun Impulses and Their Reverberant Field as Contributors to an Acoustic Environment. Advances in experimental medicine and biology. 875. 371–379. 1 indexed citations

12.

Shiu, Yu, et al.. (2014). Large-scale automatic acoustic monitoring of African forest elephants' calls in the terrestrial acoustic recordings. The Journal of the Acoustical Society of America. 135(4_Supplement). 2334–2334. 1 indexed citations

13.

Pourhomayoun, Mohammad, et al.. (2013). Using High Performance Computing to Explore Large Complex Bioacoustic Soundscapes: Case Study for Right Whale Acoustics. Procedia Computer Science. 20. 156–162. 13 indexed citations

14.

Shiu, Yu & C.‐C. Jay Kuo. (2008). Musical beat tracking via Kalman filtering and noisy measurements selection. 3250–3253. 2 indexed citations

15.

Shiu, Yu, et al.. (2008). Robust on-line beat tracking with kalman filtering and probabilistic data association (KF-PDA). IEEE Transactions on Consumer Electronics. 54(3). 1369–1377. 8 indexed citations

16.

Shiu, Yu, et al.. (2007). Audio Source Separation with Matching Pursuit and Content-Adaptive Dictionaries (MP-CAD). 13. 287–290. 4 indexed citations

17.

Shiu, Yu, et al.. (2006). An Improved Technique for Blind Audio Source Separation. 525–528. 1 indexed citations

18.

Shiu, Yu, et al.. (2006). An Improved Technique for Blind Audio Source Separation. 14. 525–528. 1 indexed citations

19.

Shiu, Yu, Chia‐Hung Yeh, & C.‐C. Jay Kuo. (2003). <title>Audio fingerprint extraction for content identification</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5242. 55–64. 1 indexed citations

20.

Srihari, Sargur N., et al.. (2002). A system for segmentation and recognition of totally unconstrained handwritten numeral strings. 2. 455–458. 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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