Sheng‐Yu Fu

1.7k total citations · 2 hit papers
22 papers, 779 citations indexed

About

Sheng‐Yu Fu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Sheng‐Yu Fu has authored 22 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Sheng‐Yu Fu's work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (12 papers) and Embedded Systems Design Techniques (9 papers). Sheng‐Yu Fu is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (12 papers) and Embedded Systems Design Techniques (9 papers). Sheng‐Yu Fu collaborates with scholars based in Taiwan, United States and China. Sheng‐Yu Fu's co-authors include Bala Muralikrishnan, J. Raja, A. Svyatkovskiy, Shuai Lu, Neel Sundaresan, Daya Guo, Nan Duan, Wei‐Chung Hsu, Colin B. Clement and Jian Yin and has published in prestigious journals such as Measurement, ACM SIGPLAN Notices and Journal of Manufacturing Science and Engineering.

In The Last Decade

Sheng‐Yu Fu

20 papers receiving 745 citations

Hit Papers

GraphCodeBERT: Pre-training Code Representations with Dat... 2021 2026 2022 2024 2021 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GraphCodeBERT: Pre-training Code Representations with Data Flow
    2021 261 citations Daya Guo, Shuo Ren et al. profile →
  2. Automating code review activities by large-scale pre-training
    2022 92 citations Zhiyu Li, Shuai Lu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheng‐Yu Fu Taiwan 9 295 221 193 174 148 22 779
Wei Xie China 15 111 0.4× 40 0.2× 93 0.5× 107 0.6× 32 0.2× 96 611
Waldemar Celes Brazil 16 37 0.1× 86 0.4× 74 0.4× 260 1.5× 25 0.2× 58 906
János Sallai United States 15 37 0.1× 45 0.2× 128 0.7× 33 0.2× 17 0.1× 67 1.1k
Jae-Woo Kim South Korea 12 57 0.2× 20 0.1× 137 0.7× 10 0.1× 14 0.1× 68 741
Mattias O’Nils Sweden 15 17 0.1× 50 0.2× 102 0.5× 30 0.2× 10 0.1× 146 899
Jianchun Xing China 16 54 0.2× 68 0.3× 101 0.5× 9 0.1× 14 0.1× 76 679
Yi Yue China 13 55 0.2× 122 0.6× 44 0.2× 10 0.1× 14 0.1× 51 615
Yangyang Zhang China 16 69 0.2× 57 0.3× 122 0.6× 9 0.1× 5 0.0× 64 924
Yu Guo China 13 61 0.2× 58 0.3× 72 0.4× 87 0.5× 11 0.1× 83 493

Countries citing papers authored by Sheng‐Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Yu Fu. A scholar is included among the top collaborators of Sheng‐Yu Fu 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‐Yu Fu. Sheng‐Yu Fu 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
1.
Li, Zhiyu, Shuai Lu, Daya Guo, et al.. (2022). Automating code review activities by large-scale pre-training. 1035–1047. 92 indexed citations breakdown →
2.
Guo, Daya, Shuo Ren, Shuai Lu, et al.. (2021). GraphCodeBERT: Pre-training Code Representations with Data Flow. 261 indexed citations breakdown →
3.
Fu, Sheng‐Yu & Wei‐Chung Hsu. (2019). Translating Traditional SIMD Instructions to Vector Length Agnostic Architectures. 275–275.
4.
Lin, Shih-Kai, et al.. (2019). Enhancing transactional memory execution via dynamic binary translation. ACM SIGAPP Applied Computing Review. 19(1). 48–58.
5.
Liu, Yuping, et al.. (2019). Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Translation. ACM Transactions on Architecture and Code Optimization. 16(1). 1–24. 3 indexed citations
6.
Lin, Chih‐Min, et al.. (2019). Exploiting Vector Processing in Dynamic Binary Translation. 1–10. 1 indexed citations
7.
Liu, Yuping, et al.. (2018). Improving SIMD Parallelism via Dynamic Binary Translation. ACM Transactions on Embedded Computing Systems. 17(3). 1–27. 8 indexed citations
8.
Wu, Jan‐Jan, et al.. (2018). Processor-Tracing Guided Region Formation in Dynamic Binary Translation. ACM Transactions on Architecture and Code Optimization. 15(4). 1–25. 1 indexed citations
9.
Fu, Sheng‐Yu, et al.. (2018). Efficient and retargetable SIMD translation in a dynamic binary translator. Software Practice and Experience. 48(6). 1312–1330. 5 indexed citations
10.
Fu, Sheng‐Yu, et al.. (2017). Dynamic translation of structured Loads/Stores and register mapping for architectures with SIMD extensions. ACM SIGPLAN Notices. 52(5). 31–40. 1 indexed citations
11.
12.
Fu, Sheng‐Yu, et al.. (2017). Adaptive runtime exploiting sparsity in tensor of deep learning neural network on heterogeneous systems. 30. 105–112. 7 indexed citations
13.
Liu, Yuping, et al.. (2017). Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation. 343–355. 9 indexed citations
14.
Fu, Sheng‐Yu, et al.. (2016). Exploiting Longer SIMD Lanes in Dynamic Binary Translation. 853–860. 7 indexed citations
15.
Fu, Sheng‐Yu, Jan‐Jan Wu, & Wei‐Chung Hsu. (2015). Improving SIMD code generation in QEMU. Design, Automation, and Test in Europe. 1233–1236. 10 indexed citations
16.
Fu, Sheng‐Yu, Jan‐Jan Wu, & Wei‐Chung Hsu. (2015). Improving SIMD Code Generation in QEMU. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 1233–1236. 7 indexed citations
17.
Fu, Sheng‐Yu, et al.. (2015). SIMD Code Translation in an Enhanced HQEMU. 507–514. 9 indexed citations
18.
Fu, Sheng‐Yu, et al.. (2003). Engineering Surface Analysis With Different Wavelet Bases. Journal of Manufacturing Science and Engineering. 125(4). 844–852. 76 indexed citations
19.
Muralikrishnan, Bala, et al.. (2003). Internet based software system for surface texture and form analysis. Measurement. 33(4). 291–301. 3 indexed citations
20.
Raja, J., Bala Muralikrishnan, & Sheng‐Yu Fu. (2002). Recent advances in separation of roughness, waviness and form. Precision Engineering. 26(2). 222–235. 261 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wei Xie Breakdown of academic impact, for papers by Waldemar Celes Breakdown of academic impact, for papers by János Sallai Breakdown of academic impact, for papers by Jae-Woo Kim Breakdown of academic impact, for papers by Mattias O’Nils Breakdown of academic impact, for papers by Jianchun Xing Breakdown of academic impact, for papers by Yi Yue Breakdown of academic impact, for papers by Yangyang Zhang Breakdown of academic impact, for papers by Yu Guo
Rankless by CCL
2026