Ying Qin

680 total citations
71 papers, 427 citations indexed

About

Ying Qin is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Qin has authored 71 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Qin's work include Natural Language Processing Techniques (35 papers), Topic Modeling (30 papers) and Speech Recognition and Synthesis (14 papers). Ying Qin is often cited by papers focused on Natural Language Processing Techniques (35 papers), Topic Modeling (30 papers) and Speech Recognition and Synthesis (14 papers). Ying Qin collaborates with scholars based in China, Hong Kong and United States. Ying Qin's co-authors include Tan Lee, Anthony Pak‐Hin Kong, Du Wei, Xiao Luo, Xiaojie Wang, Suxiang Zhang, Juan Wen, Bo Zhang, Siyuan Feng and Lucia Specia and has published in prestigious journals such as IEEE Access, Frontiers in Psychology and Medical Physics.

In The Last Decade

Ying Qin

64 papers receiving 405 citations

Peers

Ying Qin
Comparison fields: 5 of 74
  • Artificial Intelligence 246
  • Cognitive Neuroscience 84
  • Statistical and Nonlinear Physics 68
  • Computer Networks and Communications 50
  • Signal Processing 45
Replace Guanghui Yan with:
Guanghui Yan China
Charles C. Jorgensen United States
Roman Ilin United States
Md. Kamrul Hasan Bangladesh
Hasan Güler Türkiye
N. Botros United States
Jun-ichiro Hirayama Japan
Vassilis Pitsikalis Greece
Carlos M. Fernandes Portugal
Anmol Gupta India
Guanghui Yan China View profile →
Citations per field, relative to Ying Qin
Ying Qin · 1×
Citations per year, relative to Ying Qin
Ying Qin · 1×

Countries citing papers authored by Ying Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Qin. A scholar is included among the top collaborators of Ying Qin 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 Ying Qin. Ying Qin 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
# Work Indexed citations
1 3
2 6
3 3
4 1
5 2
6 1
7 1
8 9
9 1
10 14
11 6
12
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning
2
13 9
14 23
15 17
16 0
17 31
18
BUPT Systems in the SIGHAN Bakeoff 2007
3
19
Research on Combinational Ambiguity in Chinese Word Segmentation
2
20
Word Segmentation and Named Entity Recognition for SIGHAN Bakeoff3
39

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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