Beiming Cao

406 total citations
17 papers, 286 citations indexed

About

Beiming Cao is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Beiming Cao has authored 17 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Beiming Cao's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers) and Phonetics and Phonology Research (7 papers). Beiming Cao is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers) and Phonetics and Phonology Research (7 papers). Beiming Cao collaborates with scholars based in United States, China and Canada. Beiming Cao's co-authors include Ted Mau, Jun Wang, Daragh Heitzman, Jun Wang, Jun Wang, Jan P. H. van Santen, Jun Wang, Robin A. Samlan, Jordan R. Green and Thomas F. Campbell and has published in prestigious journals such as Sensors, ChemSusChem and Journal of Speech Language and Hearing Research.

In The Last Decade

Beiming Cao

17 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beiming Cao United States 10 161 120 104 53 39 17 286
Philipp Klumpp Germany 9 129 0.8× 83 0.7× 90 0.9× 48 0.9× 16 0.4× 24 280
Daniel Palacios‐Alonso Spain 10 62 0.4× 80 0.7× 112 1.1× 36 0.7× 34 0.9× 47 280
Daria Hemmerling Poland 7 119 0.7× 109 0.9× 178 1.7× 26 0.5× 37 0.9× 27 276
N. P. Narendra India 11 296 1.8× 220 1.8× 227 2.2× 104 2.0× 27 0.7× 32 465
Kang Ren China 11 57 0.4× 62 0.5× 162 1.6× 10 0.2× 28 0.7× 31 388
Tokihiko Kaburagi Japan 11 171 1.1× 191 1.6× 86 0.8× 186 3.5× 7 0.2× 49 320
Shigeki Ogawa Japan 7 167 1.0× 122 1.0× 210 2.0× 96 1.8× 37 0.9× 16 332
Federica Amato Italy 8 45 0.3× 40 0.3× 100 1.0× 12 0.2× 24 0.6× 15 227
Ryan M. Corey United States 6 20 0.1× 75 0.6× 22 0.2× 36 0.7× 88 2.3× 27 247

Countries citing papers authored by Beiming Cao

Since Specialization
Citations

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

Fields of papers citing papers by Beiming Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beiming Cao

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

All Works

17 of 17 papers shown
1.
Cao, Beiming, et al.. (2023). MagTrack: A Wearable Tongue Motion Tracking System for Silent Speech Interfaces. Journal of Speech Language and Hearing Research. 66(8S). 3206–3221. 2 indexed citations
2.
Liang, Yuxuan, et al.. (2023). One‐Pot Synthesis of 2D‐2D WO3/g‐C3N4 Photocatalyst in Reverse Microemulsion System via Supercritical CO2 for Enhanced Hydrogen Generation. ChemSusChem. 16(11). e202202184–e202202184. 16 indexed citations
3.
Cao, Beiming, et al.. (2022). Speaker Adaptation on Articulation and Acoustics for Articulation-to-Speech Synthesis. Sensors. 22(16). 6056–6056. 10 indexed citations
4.
Cao, Beiming, et al.. (2022). Data Augmentation for End-to-end Silent Speech Recognition for Laryngectomees. Interspeech 2022. 3653–3657. 5 indexed citations
5.
Cao, Beiming, et al.. (2021). Investigating Speech Reconstruction for Laryngectomees for Silent Speech Interfaces. 651–655. 3 indexed citations
6.
Dinh, Tuan, Alexander Kain, Robin A. Samlan, Beiming Cao, & Jun Wang. (2020). Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency. 4781–4785. 9 indexed citations
7.
Cao, Beiming, et al.. (2020). Tongue and Lip Motion Patterns in Alaryngeal Speech. 6 indexed citations
8.
9.
Wang, Jun, Andrea Bandini, Beiming Cao, et al.. (2018). Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples. International Journal of Speech-Language Pathology. 20(6). 669–679. 30 indexed citations
10.
Cao, Beiming, et al.. (2018). Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors’ Orientation Information. 3152–3156. 18 indexed citations
11.
Cao, Beiming, et al.. (2018). Preliminary Test of a Wireless Magnetic Tongue Tracking System for Silent Speech Interface. 1–4. 11 indexed citations
12.
Cao, Beiming, et al.. (2018). Dysarthric Speech Recognition Using Convolutional LSTM Neural Network. 2948–2952. 40 indexed citations
13.
Cao, Beiming, et al.. (2017). Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(12). 2323–2336. 64 indexed citations
14.
Cao, Beiming, et al.. (2017). Multiview Representation Learning via Deep CCA for Silent Speech Recognition. 2769–2773. 7 indexed citations
15.
Cao, Beiming, et al.. (2017). Integrating Articulatory Information in Deep Learning-Based Text-to-Speech Synthesis. 254–258. 9 indexed citations
16.
17.

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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