Siying Feng

551 total citations
19 papers, 378 citations indexed

About

Siying Feng is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siying Feng has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siying Feng's work include Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (11 papers) and Graph Theory and Algorithms (5 papers). Siying Feng is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (11 papers) and Graph Theory and Algorithms (5 papers). Siying Feng collaborates with scholars based in United States, United Kingdom and China. Siying Feng's co-authors include Ronald Dreslinski, Subhankar Pal, Trevor Mudge, Aporva Amarnath, Dong-Hyeon Park, David Blaauw, Hun-Seok Kim, Chaitali Chakrabarti, Jonathan Beaumont and Xin He and has published in prestigious journals such as Carbohydrate Polymers, IEEE Journal of Solid-State Circuits and Macromolecular Rapid Communications.

In The Last Decade

Siying Feng

19 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siying Feng United States 9 226 156 128 122 90 19 378
Aporva Amarnath United States 9 241 1.1× 181 1.2× 148 1.2× 120 1.0× 89 1.0× 16 399
Subhankar Pal United States 9 233 1.0× 162 1.0× 129 1.0× 126 1.0× 95 1.1× 24 379
Dong-Hyeon Park United States 7 196 0.9× 131 0.8× 106 0.8× 115 0.9× 86 1.0× 8 312
Victor A. Ying United States 6 256 1.1× 160 1.0× 303 2.4× 188 1.5× 117 1.3× 9 497
Stefan Hadjis United States 10 306 1.4× 200 1.3× 126 1.0× 71 0.6× 53 0.6× 13 416
Bahar Asgari United States 9 116 0.5× 136 0.9× 100 0.8× 109 0.9× 83 0.9× 29 314
David Koeplinger United States 10 387 1.7× 261 1.7× 138 1.1× 60 0.5× 56 0.6× 14 487
Fabian Schuiki Switzerland 9 246 1.1× 176 1.1× 185 1.4× 60 0.5× 53 0.6× 18 403
Richard Membarth Germany 10 184 0.8× 99 0.6× 63 0.5× 99 0.8× 32 0.4× 33 304
Guyue Huang China 7 117 0.5× 35 0.2× 145 1.1× 79 0.6× 120 1.3× 8 305

Countries citing papers authored by Siying Feng

Since Specialization
Citations

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

Fields of papers citing papers by Siying Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siying Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Siying Feng. A scholar is included among the top collaborators of Siying Feng 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 Siying Feng. Siying Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Feng, Siying, Xiaotian Wang, Qiang Zhang, et al.. (2025). Injectable self-crosslinking hyaluronic acid/silk fibroin blend hydrogel based on disulfide bond. Carbohydrate Polymers. 356. 123374–123374. 10 indexed citations
2.
He, Xin, Siying Feng, Trevor Mudge, et al.. (2024). DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET. IEEE Journal of Solid-State Circuits. 60(2). 672–684. 1 indexed citations
3.
Feng, Yanfei, et al.. (2024). Silk Nanofibers/Carbon Nanotube Conductive Aerogel. Macromolecular Rapid Communications. 46(3). e2400702–e2400702. 2 indexed citations
4.
Feng, Siying, Xin He, Liu Ke, et al.. (2022). MeNDA. 245–258. 16 indexed citations
5.
He, Xin, Siying Feng, Hun-Seok Kim, et al.. (2022). Squaring the circle. 148–159. 4 indexed citations
6.
He, Xin, Siying Feng, Trevor Mudge, et al.. (2022). A 507 GMACs/J 256-Core Domain Adaptive Systolic-Array-Processor for Wireless Communication and Linear-Algebra Kernels in 12nm FINFET. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 202–203. 8 indexed citations
7.
Feng, Siying, et al.. (2022). A Study on Foreign Trade Strategies from the Perspective of China’s Economic Transformation and Upgrading. Proceedings of Business and Economic Studies. 5(4). 73–78. 1 indexed citations
8.
Pal, Subhankar, Aporva Amarnath, Siying Feng, et al.. (2021). SparseAdapt: Runtime Control for Sparse Linear Algebra on a Reconfigurable Accelerator. Edinburgh Research Explorer. 1005–1021. 11 indexed citations
9.
Feng, Siying, Jiawen Sun, Subhankar Pal, et al.. (2021). CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics. Edinburgh Research Explorer (University of Edinburgh). 949–954. 13 indexed citations
10.
Park, Dong-Hyeon, Subhankar Pal, Siying Feng, et al.. (2020). A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix–Matrix Multiplication Accelerator. IEEE Journal of Solid-State Circuits. 55(4). 933–944. 14 indexed citations
11.
Pal, Subhankar, Siying Feng, Björn Franke, et al.. (2020). HETSIM: Simulating Large-Scale Heterogeneous Systems using a Trace-driven, Synchronization and Dependency-Aware Framework. Edinburgh Research Explorer (University of Edinburgh). 13–24. 1 indexed citations
12.
He, Xin, Subhankar Pal, Aporva Amarnath, et al.. (2020). Sparse-TPU. 1–12. 62 indexed citations
13.
Pal, Subhankar, Siying Feng, Dong-Hyeon Park, et al.. (2020). Transmuter. Edinburgh Research Explorer. 175–190. 14 indexed citations
14.
Pal, Subhankar, Dong-Hyeon Park, Siying Feng, et al.. (2019). A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. C150–C151. 6 indexed citations
15.
Feng, Siying, et al.. (2019). Parallelism Analysis of Prominent Desktop Applications: An 18- Year Perspective. 202–211. 8 indexed citations
16.
Pal, Subhankar, Dong-Hyeon Park, Siying Feng, et al.. (2019). A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. C150–C151. 10 indexed citations
17.
Pal, Subhankar, Jonathan Beaumont, Dong-Hyeon Park, et al.. (2018). OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator. 724–736. 190 indexed citations
18.
Amarnath, Aporva, et al.. (2017). A carbon nanotube transistor based RISC-V processor using pass transistor logic. 1–6. 3 indexed citations
19.
Yuan, Ping, Ming Zhang, Ninglin Zhou, et al.. (2017). N-Doped CDs–GP nanospheres as a drug delivery nanocarrier system with carbon dots and a fluorescent tracer. New Journal of Chemistry. 41(19). 10880–10889. 4 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.

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