Chia-Hao Shen

446 total citations
6 papers, 228 citations indexed

About

Chia-Hao Shen is a scholar working on Artificial Intelligence, Signal Processing and Rehabilitation. According to data from OpenAlex, Chia-Hao Shen has authored 6 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Rehabilitation. Recurrent topics in Chia-Hao Shen's work include Music and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Natural Language Processing Techniques (2 papers). Chia-Hao Shen is often cited by papers focused on Music and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Natural Language Processing Techniques (2 papers). Chia-Hao Shen collaborates with scholars based in Taiwan and United States. Chia-Hao Shen's co-authors include Hung-yi Lee, Yu-An Chung, Lin-shan Lee, Fu‐Yin Hsu, Yu‐Hsuan Wang and Yi-Chen Chen and has published in prestigious journals such as Acta Biomaterialia, IEEE/ACM Transactions on Audio Speech and Language Processing and arXiv (Cornell University).

In The Last Decade

Chia-Hao Shen

6 papers receiving 214 citations

Peers

Chia-Hao Shen

AI

SP

BIOMA

CVPR

BE

Yiren Wang United States

Xuenan Xu China

Aniwat Juhong United States

Zhi Zhou China

Shixing Chen United States

Cheng Ji China

Xu Tan China

Jinzheng Zhao United Kingdom

Choon-Ching Ng United Kingdom

Daria Hemmerling Poland

Yiren Wang United States

Chia-Hao Shen

123 ×1.0

AI

10 ×0.1

SP

26 ×0.5

BIOMA

159 ×5.3

CVPR

15 ×0.6

BE

Citations per year, relative to Chia-Hao Shen Chia-Hao Shen (= 1×) peers Yiren Wang

Countries citing papers authored by Chia-Hao Shen

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Hao Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hao Shen. 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 Chia-Hao Shen. The network helps show where Chia-Hao Shen may publish in the future.

Co-authorship network of co-authors of Chia-Hao Shen

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

All Works

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6 of 6 papers shown

1.

Chen, Yi-Chen, et al.. (2019). Audio Word2vec: Sequence-to-Sequence Autoencoding for Unsupervised Learning of Audio Segmentation and Representation. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(9). 1481–1493. 25 indexed citations

2.

Shen, Chia-Hao, et al.. (2018). Language Transfer of Audio Word2Vec: Learning Audio Segment Representations Without Target Language Data. 313. 2231–2235. 2 indexed citations

3.

Shen, Chia-Hao, et al.. (2018). Phonetic-and-Semantic Embedding of Spoken words with Applications in Spoken Content Retrieval. 941–948. 16 indexed citations

4.

Chung, Yu-An, et al.. (2016). Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Recurrent Neural Networks. arXiv (Cornell University). 13 indexed citations

5.

Chung, Yu-An, et al.. (2016). Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder. 765–769. 109 indexed citations

6.

Hsu, Fu‐Yin, et al.. (2009). Electrospun hyaluronate–collagen nanofibrous matrix and the effects of varying the concentration of hyaluronate on the characteristics of foreskin fibroblast cells. Acta Biomaterialia. 6(6). 2140–2147. 63 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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