Xiong Xiao

4.5k citations
128 papers · 2.8k indexed · 1 hit paper · h-index 24

Xiong Xiao

122 papers receiving 2.6k citations

Hit Papers

WavLM: Large-Scale Self-Supervised Pre-Training for Full ...8322022202620232024250500750

Peers

Xiong Xiao
Comparison fields: 5 of 115
  • Signal Processing 1.9k
  • Artificial Intelligence 1.9k
  • Experimental and Cognitive Psychology 158
  • Statistics, Probability and Uncertainty 67
  • Computer Vision and Pattern Recognition 185
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

The 25 scholars most cited alongside Xiong Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiong Xiao Line = papers co-authored together Xiong Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20233
5 202310
6 202218
7 20221
8 20222
9 202116
10 202111
11 20200
12 201880
13 201764
14 201716
15
Proceedings for the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
20163
16 201612
17
The NNI Query-by-Example System for MediaEval 2015
201515
18
The NNI Query-by-Example System for MediaEval 2014
201419
19
Construction Technology of North Anchor Foundation Pit of Runyang Bridge
20030
20
A cable fault location method based on power balance theory
20021

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), Music and Audio Processing (55 papers), Natural Language Processing Techniques (23 papers), Topic Modeling (14 papers), Speech and dialogue systems (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Geotechnical Engineering and Analysis (5 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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