Yilin Shen

3.0k total citations
103 papers, 1.3k citations indexed

About

Yilin Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yilin Shen has authored 103 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 19 papers in Computer Networks and Communications. Recurrent topics in Yilin Shen's work include Topic Modeling (19 papers), Multimodal Machine Learning Applications (18 papers) and Natural Language Processing Techniques (15 papers). Yilin Shen is often cited by papers focused on Topic Modeling (19 papers), Multimodal Machine Learning Applications (18 papers) and Natural Language Processing Techniques (15 papers). Yilin Shen collaborates with scholars based in United States, China and Canada. Yilin Shen's co-authors include My T. Thai, Hongxia Jin, Dung T. Nguyen, Nam P. Nguyen, Thang N. Dinh, Xuan Ying, Yen-Chang Hsu, Tong Yu, Avik Ray and Yue Deng and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Communications.

In The Last Decade

Yilin Shen

97 papers receiving 1.3k citations

Peers

Yilin Shen
Comparison fields: 5 of 108
  • Artificial Intelligence 487
  • Computer Networks and Communications 343
  • Statistical and Nonlinear Physics 328
  • Information Systems 249
  • Computer Vision and Pattern Recognition 211
Replace Mahantesh Halappanavar with:
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Dong Zhou China
Mohammad Masoud Javidi Iran
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Zbigniew Kotulski Poland
Jean-Michel Renders France
Mohammad Abdollahi Azgomi Iran
Christopher Diehl United States
Emmanuel Müller Germany
Mahantesh Halappanavar United States View profile →
Citations per field, relative to Yilin Shen
Yilin Shen · 1×
Citations per year, relative to Yilin Shen
Yilin Shen · 1×

Countries citing papers authored by Yilin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yilin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilin Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yilin Shen. A scholar is included among the top collaborators of Yilin Shen 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 Yilin Shen. Yilin Shen 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 1
2 2
3 14
4 0
5 1
6 4
7 1
8 5
9 23
10
SAFENet: A Secure, Accurate and Fast Neural Network Inference
13
11 1
12
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
16
13 1
14 43
15 82
16 23
17
A Novel Approach Against Reactive Jamming Attacks
6
18 3
19
Development and application of electrical heating cable breakdown testing system
1
20 41

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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