Rui Liu

2.3k citations
102 papers · 1.5k indexed · h-index 22
Topics
Speech Recognition and Synthesis (21 papers)Natural Language Processing Techniques (17 papers)Speech and Audio Processing (12 papers)

In The Last Decade

Rui Liu

89 papers receiving 1.4k citations

Peers

Rui Liu
Comparison fields: 5 of 161
  • Artificial Intelligence 676
  • Experimental and Cognitive Psychology 203
  • Computer Vision and Pattern Recognition 189
  • Signal Processing 175
  • Electrical and Electronic Engineering 153
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Heli Sun China
Fang Han United States
Pramod Kumar Mishra India
Rafael Magdalena‐Benedito Spain
Mohammed Zakariah Saudi Arabia
Mohammed Al-Sarem Saudi Arabia
Sandeep Kumar India
Dongdong Li China
Khairuddin Omar Malaysia
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Rui Liu relative to Heli Sun China Heli Sun's profile →
Citations per field
00.5×2.5×
Heli Sun · 1×
Citations per year

Countries citing papers authored by Rui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Rui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Liu. A scholar is included among the top collaborators of Rui Liu 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 Rui Liu. Rui Liu 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
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A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction
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17 12
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Research on the Development of Economy and Farmers’ Income Growth in Heilongjiang Province
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19
Fuzzy c-Means Clustering Algorithm
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Analysis of inaccurate style in processing Web true news text--about word segmentation and part of speech tagging
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About Rui Liu

Rui Liu is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (17 papers) and Speech and Audio Processing (12 papers). The work is most often cited by research in Artificial Intelligence (676 citations), Signal Processing (175 citations) and Experimental and Cognitive Psychology (203 citations). Rui Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xinmin Tao, Haizhou Li, Wenjie Guo, Junrong Zou, Chao Ren, Berrak Şişman, Guanglai Gao, Qing He, Qing Li and Chenxi Li. Their work appears in journals such as Applied Physics Letters, Advanced Energy Materials and Journal of Hazardous Materials.

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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