Yanqing Liu

2.3k citations
53 papers · 1.2k indexed · 2 hit papers · h-index 15

Yanqing Liu

51 papers receiving 1.1k citations

Hit Papers

NaturalSpeech: End-to-E...492019202620212023100200300400

Peers

Yanqing Liu
Comparison fields: 5 of 94
  • Signal Processing 383
  • Artificial Intelligence 656
  • Computer Networks and Communications 267
  • Control and Systems Engineering 168
  • Statistical and Nonlinear Physics 80
Replace Ping Wei with:
Ping Wei China
Xiaochuan Zhao China
Gernot Kubin Austria
Fabio Garzia Italy
Mübeccel Demırekler Türkiye
A. Navia-Vázquez Spain
P. Julián Argentina
C.K. Un South Korea
Daniele Angelosante Italy
Sheng-Yuan Tu United States
Yanqing Liu relative to Ping Wei China Ping Wei's profile →
Citations per field
00.5×6.2×
Ping Wei · 1×
Citations per year

Countries citing papers authored by Yanqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yanqing Liu, 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 Yanqing Liu Line = papers co-authored together Yanqing Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Qualitybreakdown →
202449
2 20240
3 20232
4 20231
5 20232
6 20223
7 202210
8 202212
9 20226
10 202233
11 202151
12 202130
13 202014
14 201922
15 20186
16 20152
17 20148
18 20131
19 200614
20 200535

About Yanqing Liu

Yanqing Liu is a scholar working on Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Stability and Control of Uncertain Systems (11 papers), Cooperative Communication and Network Coding (9 papers), Fault Detection and Control Systems (8 papers), Speech and Audio Processing (7 papers), Control Systems and Identification (7 papers), Advanced Control Systems Optimization (6 papers) and Wireless Communication Security Techniques (5 papers). The work is most often cited by research in Signal Processing (383 citations), Artificial Intelligence (656 citations) and Computer Networks and Communications (267 citations). Yanqing Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sheng Zhao, Ming Liu, Shujie Liu, Wansheng Tang, Yanyan Yin, Fei Liu, Liang Dong, Kok Lay Teo, Hiroshi MATSUHISA and Lei He. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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