Sheng Shen

2.6k total citations · 2 hit papers
33 papers, 944 citations indexed

About

Sheng Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sheng Shen has authored 33 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Sheng Shen's work include Privacy-Preserving Technologies in Data (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Sheng Shen is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Sheng Shen collaborates with scholars based in United States, Australia and China. Sheng Shen's co-authors include Kurt Keutzer, Zhewei Yao, Michael W. Mahoney, Amir Gholami, Jiayu Ye, Tianqing Zhu, Linjian Ma, Zhen Dong, Dayong Ye and Wanlei Zhou and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Sheng Shen

28 papers receiving 903 citations

Hit Papers

Q-BERT: Hessian Based Ultra Low Precision Quantization of... 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers

Sheng Shen
Comparison fields: 5 of 95
  • Artificial Intelligence 701
  • Computer Vision and Pattern Recognition 249
  • Information Systems 112
  • Electrical and Electronic Engineering 89
  • Signal Processing 84
Replace Kaidi Xu with:
Kaidi Xu United States
Yichun Yin China
Derek Hao Hu Hong Kong
Zuobin Xiong United States
Yanming Zhu Australia
Wai Kit Wong Malaysia
Chaoyang He United States
Gongshen Liu China
Yong Cheng China
Kaidi Xu United States View profile →
Citations per field, relative to Sheng Shen
Sheng Shen · 1×
Citations per year, relative to Sheng Shen
Sheng Shen · 1×

Countries citing papers authored by Sheng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Shen. A scholar is included among the top collaborators of Sheng 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 Sheng Shen. Sheng 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 0
2 2
3 0
4 1
5 7
6 2
7 0
8 1
9 0
10 2
11 18
12 17
13 1
14 18
15
Reservoir Transformer
3
16
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
39
17 15
18 30
19 54
20
Inaudible Voice Commands: The Long-Range Attack and Defense
81

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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