Yuedan Chen

1.2k total citations
44 papers, 749 citations indexed

About

Yuedan Chen is a scholar working on Hardware and Architecture, Neurology and Artificial Intelligence. According to data from OpenAlex, Yuedan Chen has authored 44 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 12 papers in Neurology and 12 papers in Artificial Intelligence. Recurrent topics in Yuedan Chen's work include Parallel Computing and Optimization Techniques (14 papers), CNS Lymphoma Diagnosis and Treatment (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Yuedan Chen is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), CNS Lymphoma Diagnosis and Treatment (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Yuedan Chen collaborates with scholars based in China, United States and Canada. Yuedan Chen's co-authors include Guoqing Xiao, Kenli Li, Kabin Xie, Wangdong Yang, Albert Y. Zomaya, Tao Li, Dan Ding, Kaiyuan Chen, Hong Li and Tao Li and has published in prestigious journals such as Blood, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Yuedan Chen

42 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuedan Chen China 13 182 165 159 112 87 44 749
Jianchao Wang China 19 259 1.4× 214 1.3× 68 0.4× 80 0.7× 22 0.3× 95 1.0k
Mark Marron United States 13 127 0.7× 77 0.5× 291 1.8× 108 1.0× 5 0.1× 30 848
Ke Chen China 19 99 0.5× 205 1.2× 225 1.4× 47 0.4× 14 0.2× 69 994
Leyuan Wang China 18 191 1.0× 323 2.0× 367 2.3× 275 2.5× 24 0.3× 55 1.4k
Hongyu Zhu China 18 228 1.3× 310 1.9× 156 1.0× 35 0.3× 4 0.0× 55 1.1k
Deyu Chen China 19 237 1.3× 166 1.0× 14 0.1× 127 1.1× 13 0.1× 63 1.2k
J. Hui Hong Kong 17 720 4.0× 76 0.5× 81 0.5× 108 1.0× 36 0.4× 32 1.2k
Ravi Madduri United States 21 410 2.3× 260 1.6× 231 1.5× 27 0.2× 40 0.5× 78 1.2k
Tony Pan United States 17 184 1.0× 201 1.2× 347 2.2× 72 0.6× 10 0.1× 72 940
Mohamed Fawzy Egypt 9 161 0.9× 58 0.4× 179 1.1× 78 0.7× 62 0.7× 40 598

Countries citing papers authored by Yuedan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuedan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuedan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuedan Chen. A scholar is included among the top collaborators of Yuedan Chen 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 Yuedan Chen. Yuedan Chen 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.
Xiao, Guoqing, et al.. (2025). DCGG: A Dynamically Adaptive and Hardware-Software Coordinated Runtime System for GNN Acceleration on GPUs. IEEE Transactions on Computers. 74(7). 2293–2305.
2.
Xiao, Guoqing, et al.. (2024). Efficient Utilization of Multi-Threading Parallelism on Heterogeneous Systems for Sparse Tensor Contraction. IEEE Transactions on Parallel and Distributed Systems. 35(6). 1044–1055. 1 indexed citations
3.
Xiao, Guoqing, et al.. (2024). Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7556–7568. 1 indexed citations
4.
Xiao, Guoqing, et al.. (2024). APPQ-CNN: An Adaptive CNNs Inference Accelerator for Synergistically Exploiting Pruning and Quantization Based on FPGA. IEEE Transactions on Sustainable Computing. 9(6). 874–888. 4 indexed citations
5.
6.
Xiao, Guoqing, et al.. (2023). An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation. 1(2). 1–23. 6 indexed citations
7.
Xiao, Guoqing, et al.. (2023). A Survey of Accelerating Parallel Sparse Linear Algebra. ACM Computing Surveys. 56(1). 1–38. 6 indexed citations
8.
Chen, Yuedan, Guoqing Xiao, Kenli Li, Francesco Piccialli, & Albert Y. Zomaya. (2022). fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms. 9(2). 1–29. 10 indexed citations
9.
Xiao, Guoqing, et al.. (2022). PH-CF: A Phased Hybrid Algorithm for Accelerating Subgraph Matching Based on CPU-FPGA Heterogeneous Platform. IEEE Transactions on Industrial Informatics. 19(7). 8362–8373. 4 indexed citations
10.
Xiao, Guoqing, et al.. (2022). GSpTC: High-Performance Sparse Tensor Contraction on CPU-GPU Heterogeneous Systems. 380–387. 1 indexed citations
11.
Chen, Yuedan, Guoqing Xiao, Fan Wu, Zhuo Tang, & Keqin Li. (2020). tpSpMV: A two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures. Information Sciences. 523. 279–295. 11 indexed citations
12.
Chen, Yuedan, Guoqing Xiao, M. TAMER ÖZSU, et al.. (2020). aeSpTV: An Adaptive and Efficient Framework for Sparse Tensor-Vector Product Kernel on a High-Performance Computing Platform. IEEE Transactions on Parallel and Distributed Systems. 31(10). 2329–2345. 19 indexed citations
13.
Xiao, Guoqing, Yuedan Chen, Chubo Liu, & Xu Zhou. (2019). ahSpMV: An Autotuning Hybrid Computing Scheme for SpMV on the Sunway Architecture. IEEE Internet of Things Journal. 7(3). 1736–1744. 15 indexed citations
14.
Xiao, Guoqing, et al.. (2019). CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight. IEEE Transactions on Parallel and Distributed Systems. 32(1). 131–146. 80 indexed citations
15.
Chen, Yuedan, et al.. (2018). Performance-Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer. IEEE Transactions on Parallel and Distributed Systems. 30(4). 923–938. 82 indexed citations
16.
Chen, Yuedan, et al.. (2018). Implementation and optimization of a data protecting model on the Sunway TaihuLight supercomputer with heterogeneous many‐core processors. Concurrency and Computation Practice and Experience. 31(21). 7 indexed citations
17.
Liu, Jing, Shengjun Sun, Yaming Wang, et al.. (2016). Efficacy of rituximab combined with chemotherapy regimen for the treatment of primary central nervous system lymphomas. Zhonghua shenjing waike zazhi. 32(4). 388–392. 1 indexed citations
18.
Ran, Leili, Inna Sirota, Zhen Cao, et al.. (2015). Combined Inhibition of MAP Kinase and KIT Signaling Synergistically Destabilizes ETV1 and Suppresses GIST Tumor Growth. Cancer Discovery. 5(3). 304–315. 93 indexed citations
19.
Xu, Hong, Ming Cheng, Hong-Fen Guo, et al.. (2014). Retargeting T Cells to GD2 Pentasaccharide on Human Tumors Using Bispecific Humanized Antibody. Cancer Immunology Research. 3(3). 266–277. 70 indexed citations
20.
Basu, Roshni, Yuedan Chen, Emily J. Quann, & Morgan Huse. (2014). The Variable Hinge Region of Novel PKCs Determines Localization to Distinct Regions of the Immunological Synapse. PLoS ONE. 9(4). e95531–e95531. 7 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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