Chuanxin Tang

406 citations
12 papers · 219 indexed · h-index 6
Topics
Speech and Audio Processing (5 papers)Speech Recognition and Synthesis (5 papers)Music and Audio Processing (4 papers)
Journals
CAAI Transactions on Intelligence TechnologyProceedings of the AAAI Conference on Artificial IntelligenceInterspeech 2022
Partner nations
ChinaGermanyAustralia

In The Last Decade

Chuanxin Tang

11 papers receiving 212 citations

Peers

Chuanxin Tang
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 100
  • Artificial Intelligence 87
  • Signal Processing 72
  • Computational Mechanics 27
  • Media Technology 16
Replace Xiaoyu Bie with:
Xiaoyu Bie France
Shuai Nie China
Hamid Izadinia United States
Vivek Kshirsagar India
Quan Wang China
Yake Wei China
Jinlin Liu China
Bartosz Ziółko Poland
Zhenzhong Kuang China
Chuanxin Tang relative to Xiaoyu Bie France Xiaoyu Bie's profile →
Citations per field
00.5×5.3×
Xiaoyu Bie · 1×
Citations per year

Countries citing papers authored by Chuanxin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chuanxin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanxin Tang

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 12
2 0
3 6
4 25
5 56
6 57
7 4
8 2
9 3
10 47
11 2
12 5

About Chuanxin Tang

Chuanxin Tang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 219 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (72 citations), Computer Vision and Pattern Recognition (100 citations) and Artificial Intelligence (87 citations). Chuanxin Tang has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Wenjun Zeng, Guangting Wang, Chong Luo, Wenxuan Xie, Chong Luo, Yucheng Zhao, Zhiyuan Zhao, Yucheng Zhao, Dongdong Chen and Yu–Gang Jiang. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Proceedings of the AAAI Conference on Artificial Intelligence and Interspeech 2022.

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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