Guihai Yan

822 total citations
59 papers, 578 citations indexed

About

Guihai Yan is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Guihai Yan has authored 59 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 24 papers in Hardware and Architecture and 18 papers in Computer Networks and Communications. Recurrent topics in Guihai Yan's work include Parallel Computing and Optimization Techniques (21 papers), Advanced Memory and Neural Computing (16 papers) and Low-power high-performance VLSI design (14 papers). Guihai Yan is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Advanced Memory and Neural Computing (16 papers) and Low-power high-performance VLSI design (14 papers). Guihai Yan collaborates with scholars based in China, United States and United Kingdom. Guihai Yan's co-authors include Xiaowei Li, Yinhe Han, Wenyan Lü, Shijun Gong, Jiajun Li, Xin He, Xiaoyao Liang, Shuhao Jiang, Xuan Zhang and Minyi Guo and has published in prestigious journals such as Sensors, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Guihai Yan

52 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guihai Yan China	12	368	254	225	148	127	59	578
Ritchie Zhao United States	12	297 0.8×	263 1.0×	317 1.4×	181 1.2×	180 1.4×	15	660
Saketh Rama United States	6	469 1.3×	307 1.2×	174 0.8×	87 0.6×	235 1.9×	7	675
Emmanuel Amaro United States	8	299 0.8×	211 0.8×	317 1.4×	242 1.6×	180 1.4×	15	674
Meghan Cowan United States	4	156 0.4×	313 1.2×	223 1.0×	132 0.9×	251 2.0×	6	568
Andrew Lukefahr United States	8	217 0.6×	232 0.9×	275 1.2×	190 1.3×	178 1.4×	15	539
Guohao Dai China	10	199 0.5×	160 0.6×	113 0.5×	84 0.6×	157 1.2×	46	432
Xuegong Zhou China	11	305 0.8×	253 1.0×	189 0.8×	99 0.7×	119 0.9×	42	537
José-María Arnau Spain	12	128 0.3×	169 0.7×	216 1.0×	176 1.2×	125 1.0×	37	459
Rehan Hameed United States	7	286 0.8×	172 0.7×	395 1.8×	286 1.9×	73 0.6×	7	625
Prasanth Chatarasi United States	8	219 0.6×	191 0.8×	213 0.9×	116 0.8×	111 0.9×	14	426

Countries citing papers authored by Guihai Yan

Since Specialization

Citations

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

Fields of papers citing papers by Guihai Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihai Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Guihai Yan. A scholar is included among the top collaborators of Guihai Yan 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 Guihai Yan. Guihai Yan 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

Li, Xiaowei, et al.. (2025). Co-ViSu: Accelerating Video Super-Resolution With Codec Information Reuse. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(9). 3451–3464.

Meng, Rui, et al.. (2025). GRACE: An End-to-End Graph Processing Accelerator on FPGA With Graph Reordering Engine. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(10). 3816–3829.

Li, Xiaowei, et al.. (2024). DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters. IEEE Transactions on Computers. 73(8). 2081–2095. 2 indexed citations

Li, Xiaowei, et al.. (2024). Co-Via: A Video Frame Interpolation Accelerator Exploiting Codec Information Reuse. 1–6. 2 indexed citations

Li, Xiaowei, et al.. (2024). PHD: Parallel Huffman Decoder on FPGA for Extreme Performance and Energy Efficiency. 1–6.

Chen, Junyang, Junkai Ji, Chengwen Luo, et al.. (2024). Satisfying Energy-Efficiency Constraints for Mobile Systems. IEEE Transactions on Mobile Computing. 23(12). 14280–14296.

Li, Xiaowei, et al.. (2024). TianMen: a DPU-based storage network offloading structure for disaggregated datacenters. 689–703. 1 indexed citations

Yan, Guihai, et al.. (2024). Monocular 3D Multi-Person Pose Estimation for On-Site Joint Flexion Assessment: A Case of Extreme Knee Flexion Detection. Sensors. 24(19). 6187–6187. 2 indexed citations

Meng, Rui, et al.. (2024). AMST: Accelerating Large-Scale Graph Minimum Spanning Tree Computation on FPGA. 157–168. 1 indexed citations

10.

Yao, Zhidong, Xuelai Li, Guihai Yan, et al.. (2024). Automated Defect Detection on Dry-Hanging Stone Curtain Walls through Colored Point Clouds. Buildings. 14(9). 2652–2652. 1 indexed citations

11.

Li, Xiaowei, et al.. (2023). Optimize the TX Architecture of RDMA NIC for Performance Isolation in the Cloud Environment. 29–35. 1 indexed citations

12.

Li, Xiaowei, et al.. (2023). BitColor: Accelerating Large-Scale Graph Coloring on FPGA with Parallel Bit-Wise Engines. 492–502. 2 indexed citations

13.

Li, Xiaowei, et al.. (2023). M2VT: A Multi-Output Encoder Accelerator for Multiple-Way Video Transcoding. 69–75. 1 indexed citations

14.

Li, Xiaowei, Guihai Yan, & Cheng Liu. (2023). Built-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design. 3 indexed citations

15.

Kong, Hao, et al.. (2023). DOE: database offloading engine for accelerating SQL processing. Distributed and Parallel Databases. 41(3). 273–297.

16.

He, Xin, Wenyan Lü, Liu Ke, Guihai Yan, & Xuan Zhang. (2019). A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Design and Test. 37(1). 36–45. 3 indexed citations

17.

Li, Jiajun, et al.. (2019). SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules. IEEE Transactions on Computers. 68(11). 1663–1677. 35 indexed citations

18.

Lü, Wenyan, Guihai Yan, Jiajun Li, et al.. (2018). Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks. IEEE Transactions on Computers. 68(6). 867–881. 4 indexed citations

19.

Yan, Guihai, et al.. (2013). SmartCap: user experience-oriented power adaptation for smartphone's application processor. Design, Automation, and Test in Europe. 57–60. 18 indexed citations

20.

Hu, Xing, Guihai Yan, Yu Hu, & Xiaowei Li. (2013). Orchestrator: a low-cost solution to reduce voltage emergencies for multi-threaded applications. Design, Automation, and Test in Europe. 208–213. 3 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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