Wayne Xiong

17 total papers · 1.8k total citations
5 papers, 231 citations indexed

About

Wayne Xiong is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Wayne Xiong has authored 5 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Wayne Xiong's work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Wayne Xiong is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Wayne Xiong collaborates with scholars based in United States and United Kingdom. Wayne Xiong's co-authors include Andreas Stolcke, Jasha Droppo, Dong Yu, Geoffrey Zweig, Xuedong Huang, Michael L. Seltzer, Frank Seide, Jinyu Li, Michael Zeng and Yang Liu and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Wayne Xiong

5 papers receiving 208 citations

Author Peers

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

Author Last Decade Papers Cites
Wayne Xiong 170 86 36 21 12 5 231
Khawar Mehmood 222 1.3× 65 0.8× 32 0.9× 13 0.6× 10 0.8× 8 290
Chuanxin Tang 85 0.5× 71 0.8× 98 2.7× 13 0.6× 13 1.1× 12 216
Amirsina Torfi 97 0.6× 49 0.6× 56 1.6× 11 0.5× 8 0.7× 8 166
Zalán Borsos 210 1.2× 140 1.6× 69 1.9× 13 0.6× 12 1.0× 10 301
Muhammad Rehman Zafar 108 0.6× 18 0.2× 21 0.6× 17 0.8× 6 0.5× 4 216
Christian Puhrsch 135 0.8× 114 1.3× 33 0.9× 8 0.4× 12 1.0× 2 196
Yann Rodriguez 108 0.6× 45 0.5× 194 5.4× 21 1.0× 8 0.7× 8 322
Apoorv Vyas 80 0.5× 35 0.4× 87 2.4× 17 0.8× 12 1.0× 6 180
Miquel Espi 158 0.9× 267 3.1× 27 0.8× 15 0.7× 25 2.1× 13 294
Jonathan Milgram 81 0.5× 49 0.6× 118 3.3× 9 0.4× 11 0.9× 6 217

Countries citing papers authored by Wayne Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Xiong. A scholar is included among the top collaborators of Wayne Xiong 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 Wayne Xiong. Wayne Xiong 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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