Xiong Xiao

122 papers receiving 2.6k citations

Hit Papers

WavLM: Large-Scale Self-Supervised Pre-Training for Full ...20222026202320242022250500750

Peers

Xiong Xiao
Comparison fields: 5 of 115
  • Artificial Intelligence 1.9k
  • Signal Processing 1.9k
  • Computer Vision and Pattern Recognition 185
  • Computational Mechanics 171
  • Experimental and Cognitive Psychology 158
Replace Jasha Droppo with:
Jasha Droppo United States
R.B. Dunn United States
Joon‐Hyuk Chang South Korea
Vassilios Digalakis Greece
Nam Soo Kim South Korea
R. Gopinath United States
J.-L. Gauvain France
George Saon United States
Xiong Xiao relative to Jasha Droppo United States Jasha Droppo's profile →
Citations per field
00.5×7.6×
Jasha Droppo · 1×
Citations per year

Countries citing papers authored by Xiong Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xiong Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiong Xiao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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5 10
6 18
7 1
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9 16
10 11
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12 80
13 64
14 16
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Proceedings for the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
3
16 12
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The NNI Query-by-Example System for MediaEval 2015
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The NNI Query-by-Example System for MediaEval 2014
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Construction Technology of North Anchor Foundation Pit of Runyang Bridge
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20
A cable fault location method based on power balance theory
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About Xiong Xiao

Xiong Xiao is a scholar working on Signal Processing, Artificial Intelligence and General Engineering, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (73 papers), Speech and Audio Processing (63 papers) and Music and Audio Processing (55 papers). The work is most often cited by research in Signal Processing (1.9k citations), Artificial Intelligence (1.9k citations) and Experimental and Cognitive Psychology (158 citations). Xiong Xiao has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Eng Siong Chng, Haizhou Li, Takuya Yoshioka, Jinyu Li, Jian Wu, Naoyuki Kanda, Douglas L. Jones, Shengkui Zhao, Yanmin Qian and Yu Wu. Their work appears in journals such as Construction and Building Materials, The Journal of Organic Chemistry and Chemistry - A European Journal.

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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