Che-Wei Huang

36 total papers · 562 total citations
22 papers, 363 citations indexed

About

Che-Wei Huang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Che-Wei Huang has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Che-Wei Huang's work include Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (6 papers). Che-Wei Huang is often cited by papers focused on Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (6 papers). Che-Wei Huang collaborates with scholars based in United States, Taiwan and Australia. Che-Wei Huang's co-authors include Shrikanth Narayanan, Josh Jia-Ching Ying, Vincent S. Tseng, Kuan-Ta Chen, Chih‐Ting Lin, Roland Maas, Panayiotis Georgiou, Zac E. Imel, David C. Atkins and Jinxi Guo and has published in prestigious journals such as Sensors, IEEE Sensors Journal and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Che-Wei Huang

22 papers receiving 339 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Che-Wei Huang	176	142	124	41	40	22	363
Nobuo Sato	59 0.3×	85 0.6×	90 0.7×	54 1.3×	21 0.5×	27	317
Iulia Lefter	119 0.7×	66 0.5×	147 1.2×	64 1.6×	9 0.2×	27	300
Asif Salekin	116 0.7×	30 0.2×	70 0.6×	26 0.6×	19 0.5×	34	335
Ibrahiem M. M. El Emary	118 0.7×	96 0.7×	112 0.9×	81 2.0×	33 0.8×	34	397
Xiang Chen	83 0.5×	30 0.2×	72 0.6×	81 2.0×	32 0.8×	25	329
C. Longworth	84 0.5×	72 0.5×	86 0.7×	117 2.9×	62 1.6×	9	370
S. Lalitha	167 0.9×	153 1.1×	223 1.8×	81 2.0×	8 0.2×	28	389
Mirela Popa	88 0.5×	67 0.5×	100 0.8×	116 2.8×	19 0.5×	32	333
Prithviraj Kabisatpathy	106 0.6×	164 1.2×	192 1.5×	51 1.2×	96 2.4×	15	364
Julie Wall	87 0.5×	92 0.6×	25 0.2×	22 0.5×	47 1.2×	32	363

Countries citing papers authored by Che-Wei Huang

Since Specialization

Citations

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

Fields of papers citing papers by Che-Wei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che-Wei Huang

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

All Works

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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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