Yangyang Shi

2.5k citations
84 papers · 1.6k indexed · h-index 18
Topics
Speech Recognition and Synthesis (28 papers)Natural Language Processing Techniques (25 papers)Topic Modeling (19 papers)

In The Last Decade

Yangyang Shi

81 papers receiving 1.5k citations

Peers

Yangyang Shi
Comparison fields: 5 of 112
  • Artificial Intelligence 782
  • Soil Science 307
  • Signal Processing 288
  • Civil and Structural Engineering 158
  • Computer Vision and Pattern Recognition 143
Replace Huiyun Li with:
Huiyun Li China
Fengyu Wang China
Ping Ren China
Meng Jian China
Ronghua Zhang China
Kenji Sugimoto Japan
Ran Wang China
Yifei Zhang China
Chao Liang China
Chunlei Li China
Yangyang Shi relative to Huiyun Li China Huiyun Li's profile →
Citations per field
00.5×6.7×
Huiyun Li · 1×
Citations per year

Countries citing papers authored by Yangyang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yangyang Shi. A scholar is included among the top collaborators of Yangyang Shi 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 Yangyang Shi. Yangyang Shi 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 14
2 1
3 1
4 29
5 12
6 4
7 5
8 5
9 1
10 3
11 44
12 3
13 5
14 9
15 173
16 195
17
MediaEval 2012 Tagging Task: Prediction based on One-Best List and Confusion Networks
2
18
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization with one-vs-all classifiers
5
19 4
20
Language Modeling With Dynamic Bayesian Networks Using Conversation Types and Part of Speech Information
1

About Yangyang Shi

Yangyang Shi is a scholar working on Signal Processing, Artificial Intelligence and Media Technology, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Topic Modeling (19 papers). The work is most often cited by research in Soil Science (307 citations), Signal Processing (288 citations) and Artificial Intelligence (782 citations). Yangyang Shi has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Kaisheng Yao, Guanghui Zhang, Dong Yu, Geoffrey Zweig, Mei-Yuh Hwang, XC Zhang, Bing Wang, Baolin Peng, Catholijn M. Jonker and Yu Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.

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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