Po-Wei Chou

680 total citations
8 papers, 354 citations indexed

About

Po-Wei Chou is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Po-Wei Chou has authored 8 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 1 paper in Automotive Engineering. Recurrent topics in Po-Wei Chou's work include Natural Language Processing Techniques (3 papers), Semiconductor materials and devices (3 papers) and Speech Recognition and Synthesis (3 papers). Po-Wei Chou is often cited by papers focused on Natural Language Processing Techniques (3 papers), Semiconductor materials and devices (3 papers) and Speech Recognition and Synthesis (3 papers). Po-Wei Chou collaborates with scholars based in Taiwan, United States and Japan. Po-Wei Chou's co-authors include Meng‐Fan Chang, Roberto Calandra, Daniel Maturana, Sebastian Scherer, Yen-Huei Chen, H. Yamauchi, Jui-Jen Wu, Chien‐Yuan Chen, Hung-Jen Liao and Yuan‐Hua Chu and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Robotics and Automation Letters and Computer Speech & Language.

In The Last Decade

Po-Wei Chou

7 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po-Wei Chou Taiwan 6 201 65 64 58 49 8 354
A. Zayegh Australia 11 208 1.0× 83 1.3× 26 0.4× 129 2.2× 21 0.4× 42 313
Ali Hayek Germany 10 105 0.5× 37 0.6× 44 0.7× 16 0.3× 23 0.5× 56 261
David Castells‐Rufas Spain 9 51 0.3× 59 0.9× 48 0.8× 14 0.2× 35 0.7× 46 291
Magdy A. El-Moursy Egypt 12 320 1.6× 48 0.7× 21 0.3× 21 0.4× 22 0.4× 70 499
Kyung Ki Kim United States 10 274 1.4× 65 1.0× 53 0.8× 11 0.2× 45 0.9× 64 373
Jingbo Gao China 11 133 0.7× 43 0.7× 19 0.3× 86 1.5× 31 0.6× 40 308
A. Rajeswari India 7 115 0.6× 40 0.6× 16 0.3× 29 0.5× 17 0.3× 44 244
Tadanobu Inoue Japan 8 57 0.3× 97 1.5× 15 0.2× 157 2.7× 107 2.2× 9 325
Takahiro Yakoh Japan 12 43 0.2× 83 1.3× 25 0.4× 181 3.1× 18 0.4× 70 383
Fabio Campi Italy 13 181 0.9× 79 1.2× 18 0.3× 24 0.4× 23 0.5× 50 576

Countries citing papers authored by Po-Wei Chou

Since Specialization
Citations

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

Fields of papers citing papers by Po-Wei Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Wei Chou. 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 Po-Wei Chou. The network helps show where Po-Wei Chou may publish in the future.

Co-authorship network of co-authors of Po-Wei Chou

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

All Works

8 of 8 papers shown
1.
Chou, Po-Wei, et al.. (2022). TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors. IEEE Robotics and Automation Letters. 7(2). 3930–3937. 93 indexed citations
2.
Chou, Po-Wei, Daniel Maturana, & Sebastian Scherer. (2017). Improving stochastic policy gradients in continuous control with deep reinforcement learning using the Beta distribution. International Conference on Machine Learning. 834–843. 48 indexed citations
3.
Chou, Po-Wei, et al.. (2014). Spoken Term Detection and Spoken Content Retrieval: Evaluations on NTCIR 11 SpokenQuery&Doc Task. NTCIR. 1 indexed citations
4.
Lee, Hung-yi, Po-Wei Chou, & Lin-shan Lee. (2014). Improved open-vocabulary spoken content retrieval with word and subword lattices using acoustic feature similarity. Computer Speech & Language. 28(5). 1045–1065. 5 indexed citations
5.
Lee, Hung-yi, Po-Wei Chou, & Lin-shan Lee. (2012). Open-vocabulary retrieval of spoken content with shorter/longer queries considering word/subword-based acoustic feature similarity. 2077–2080. 13 indexed citations
6.
Wu, Jui-Jen, Yen-Huei Chen, Meng‐Fan Chang, et al.. (2011). A Large $\sigma $V$_{\rm TH}$/VDD Tolerant Zigzag 8T SRAM With Area-Efficient Decoupled Differential Sensing and Fast Write-Back Scheme. IEEE Journal of Solid-State Circuits. 46(4). 815–827. 65 indexed citations
7.
Chang, Meng‐Fan, et al.. (2010). A 130 mV SRAM With Expanded Write and Read Margins for Subthreshold Applications. IEEE Journal of Solid-State Circuits. 46(2). 520–529. 104 indexed citations
8.
Wu, Jui-Jen, Yen-Huei Chen, Meng‐Fan Chang, et al.. (2010). A large &#x03C3;V<inf>TH</inf>/VDD tolerant zigzag 8T SRAM with area-efficient decoupled differential sensing and fast write-back scheme. 103–104. 25 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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