Yuze Chi

1.5k total citations
29 papers, 786 citations indexed

About

Yuze Chi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuze Chi has authored 29 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hardware and Architecture, 20 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuze Chi's work include Embedded Systems Design Techniques (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Interconnection Networks and Systems (14 papers). Yuze Chi is often cited by papers focused on Embedded Systems Design Techniques (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Interconnection Networks and Systems (14 papers). Yuze Chi collaborates with scholars based in United States, China and Canada. Yuze Chi's co-authors include Jason Cong, Yu Wang, Guohao Dai, Licheng Guo, Tianhao Huang, Huazhong Yang, Jie Wang, Weikang Qiao, Huazhong Yang and Zhiru Zhang and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and CNS Neuroscience & Therapeutics.

In The Last Decade

Yuze Chi

27 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuze Chi United States	16	518	370	263	262	158	29	786
Youngsok Kim South Korea	14	301 0.6×	284 0.8×	256 1.0×	188 0.7×	208 1.3×	41	695
Dipankar Das India	8	219 0.4×	176 0.5×	171 0.7×	347 1.3×	221 1.4×	16	617
Stephen Richardson United States	15	635 1.2×	409 1.1×	372 1.4×	141 0.5×	109 0.7×	30	889
David Sheffield United States	8	212 0.4×	147 0.4×	235 0.9×	196 0.7×	171 1.1×	14	552
Michael Abrash United States	7	578 1.1×	552 1.5×	128 0.5×	157 0.6×	83 0.5×	13	864
Neal Crago United States	12	470 0.9×	368 1.0×	143 0.5×	132 0.5×	116 0.7×	19	617
Jason Clemons United States	12	267 0.5×	172 0.5×	422 1.6×	301 1.1×	166 1.1×	21	758
Hardik Sharma United States	6	280 0.5×	139 0.4×	518 2.0×	493 1.9×	362 2.3×	13	918
Omid Azizi United States	10	502 1.0×	377 1.0×	345 1.3×	112 0.4×	66 0.4×	16	735
Sai Rahul Chalamalasetti United States	10	202 0.4×	178 0.5×	370 1.4×	84 0.3×	118 0.7×	32	587

Countries citing papers authored by Yuze Chi

Since Specialization

Citations

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

Fields of papers citing papers by Yuze Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuze Chi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Sihao, et al.. (2025). NoH: NoC Compilation in High-Level Synthesis. 162–171.

Chi, Yuze, et al.. (2024). TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. 966–980. 1 indexed citations

Chi, Yuze, et al.. (2024). PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. ACM Transactions on Reconfigurable Technology and Systems. 17(3). 1–31.

Guo, Licheng, Christopher Lavin, Eddie Hung, et al.. (2023). RapidStream 2.0: Automated Parallel Implementation of Latency–Insensitive FPGA Designs Through Partial Reconfiguration. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–30. 5 indexed citations

Lu, Alec, et al.. (2023). SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. ACM Transactions on Reconfigurable Technology and Systems. 16(2). 1–33. 5 indexed citations

Chi, Yuze, et al.. (2023). PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. 12–22. 5 indexed citations

Guo, Licheng, Yuze Chi, Jason Lau, et al.. (2023). TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–31. 15 indexed citations

Chi, Yuze, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, & Jason Cong. (2022). Democratizing Domain-Specific Computing. Communications of the ACM. 66(1). 74–85. 16 indexed citations

Sohrabizadeh, Atefeh, Yuze Chi, & Jason Cong. (2022). StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing. 1–8. 4 indexed citations

10.

Guo, Licheng, Christopher Lavin, Jie Wang, et al.. (2022). RapidStream. Ghent University Academic Bibliography (Ghent University). 1–12. 22 indexed citations

11.

Guo, Licheng, Yuze Chi, Jie Wang, et al.. (2021). AutoBridge. PubMed. 2021. 81–92. 60 indexed citations

12.

Choi, Young, Yuze Chi, Weikang Qiao, Nikola Samardzic, & Jason Cong. (2021). HBM Connect: High-Performance HLS Interconnect for FPGA HBM. PubMed. 2021. 116–126. 50 indexed citations

13.

Chi, Yuze, Licheng Guo, Jason Lau, et al.. (2021). Extending High-Level Synthesis for Task-Parallel Programs. PubMed. 2021. 204–213. 17 indexed citations

14.

Guo, Licheng, Jason Lau, Yuze Chi, et al.. (2020). Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. 311–311. 8 indexed citations

15.

Lai, Yi‐Hsiang, Yuze Chi, Yuwei Hu, et al.. (2019). HeteroCL. 242–251. 79 indexed citations

16.

Dai, Guohao, Tianhao Huang, Yuze Chi, et al.. (2018). GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(4). 640–653. 109 indexed citations

17.

Chi, Yuze, Peipei Zhou, & Jason Cong. (2018). An Optimal Microarchitecture for Stencil Computation with Data Reuse and Fine-Grained Parallelism. 286–286. 1 indexed citations

18.

Dai, Guohao, Tianhao Huang, Yuze Chi, et al.. (2017). ForeGraph. 217–226. 99 indexed citations

19.

Dai, Guohao, Yuze Chi, Yu Wang, & Huazhong Yang. (2016). FPGP. 105–110. 85 indexed citations

20.

Liao, Xuhong, Qixiang Lin, Yuze Chi, et al.. (2015). Test–Retest Reliability of Graph Metrics in High‐resolution Functional Connectomics: A Resting‐State Functional MRI Study. CNS Neuroscience & Therapeutics. 21(10). 802–816. 30 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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