Xuankai Chang

3.0k citations
66 papers · 1.6k indexed · 2 hit papers · h-index 21
Topics
Speech Recognition and Synthesis (56 papers)Music and Audio Processing (36 papers)Speech and Audio Processing (35 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Xuankai Chang

62 papers receiving 1.5k citations

Hit Papers

SUPERB: Speech Processing Universal PERformance Benchmark202120262022202420212024100200300400

Peers

Xuankai Chang
Comparison fields: 5 of 77
  • Artificial Intelligence 1.4k
  • Signal Processing 1.1k
  • Experimental and Cognitive Psychology 88
  • Computer Vision and Pattern Recognition 72
  • Computational Mechanics 70
Replace Shinji Takaki with:
Shinji Takaki Japan
Tom Ko China
Shinnosuke Takamichi Japan
Petr Motlíček Switzerland
Daniel Erro Spain
František Grézl Czechia
Mitchell McLaren United States
Rahim Saeidi Finland
Chengzhu Yu United States
Sachin Kajarekar United States
Xuankai Chang relative to Shinji Takaki Japan Shinji Takaki's profile →
Citations per field
00.5×3.5×
Shinji Takaki · 1×
Citations per year

Countries citing papers authored by Xuankai Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xuankai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuankai Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuankai Chang. A scholar is included among the top collaborators of Xuankai Chang 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 Xuankai Chang. Xuankai Chang 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
1 0
2 1
3
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Headbreakdown →
48
4 0
5 1
6 1
7 3
8 8
9 8
10 31
11 23
12 24
13 10
14 3
15 7
16 7
17 13
18 53
19 6
20 36

About Xuankai Chang

Xuankai Chang is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (56 papers), Music and Audio Processing (36 papers) and Speech and Audio Processing (35 papers). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (1.4k citations) and Experimental and Cognitive Psychology (88 citations). Xuankai Chang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shinji Watanabe, Yanmin Qian, Dong Yu, Wangyou Zhang, Jiatong Shi, Hung-yi Lee, Jonathan Le Roux, Yuya Fujita, Shang-Wen Li and Shu-Wen Yang. Their work appears in journals such as IEEE Signal Processing Magazine, Speech Communication and Computer Speech & Language.

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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