Xiaohai Tian

1.0k citations
41 papers · 515 indexed · h-index 13
Topics
Speech Recognition and Synthesis (36 papers)Speech and Audio Processing (31 papers)Music and Audio Processing (19 papers)

In The Last Decade

Xiaohai Tian

39 papers receiving 478 citations

Peers

Xiaohai Tian
Comparison fields: 5 of 36
  • Artificial Intelligence 469
  • Signal Processing 426
  • Computer Vision and Pattern Recognition 47
  • Physiology 37
  • Experimental and Cognitive Psychology 32
Replace Tanvina Patel with:
Tanvina Patel India
Hannah Muckenhirn Switzerland
Heinrich Dinkel China
Madhu R. Kamble India
Wen-Chin Huang Japan
Rosa González Hautamäki Finland
Songxiang Liu Hong Kong
Federico Alegre France
Alejandro Gomez-Alanis Spain
Xingyu Na China
Xiaohai Tian relative to Tanvina Patel India Tanvina Patel's profile →
Citations per field
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Tanvina Patel · 1×
Citations per year

Countries citing papers authored by Xiaohai Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohai Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohai Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohai Tian. A scholar is included among the top collaborators of Xiaohai Tian 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 Xiaohai Tian. Xiaohai Tian 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 1
2 0
3 2
4 5
5 11
6 44
7 3
8 4
9 4
10 11
11 22
12 5
13
Proceedings for the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
3
14 4
15 12
16 31
17 8
18 14
19 3
20 6

About Xiaohai Tian

Xiaohai Tian is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 41 papers that have together received 515 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (31 papers) and Music and Audio Processing (19 papers). The work is most often cited by research in Signal Processing (426 citations), Artificial Intelligence (469 citations) and Pharmacy (19 citations). Xiaohai Tian has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Haizhou Li, Eng Siong Chng, Zhizheng Wu, Haihua Xu, Rohan Kumar Das, Xiong Xiao, Yi Zhou, Tomi Kinnunen, Xiaoxue Gao and Junchao Wang. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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