Shaowu Chen

1.1k total citations · 1 hit paper
18 papers, 816 citations indexed

About

Shaowu Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Shaowu Chen has authored 18 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Shaowu Chen's work include Advanced Neural Network Applications (5 papers), Brain Tumor Detection and Classification (2 papers) and Tensor decomposition and applications (2 papers). Shaowu Chen is often cited by papers focused on Advanced Neural Network Applications (5 papers), Brain Tumor Detection and Classification (2 papers) and Tensor decomposition and applications (2 papers). Shaowu Chen collaborates with scholars based in China, United States and Canada. Shaowu Chen's co-authors include Ross L. Stein, Lawrence R. Dick, Janice M. Klunder, Julian Adams, Amy Cruickshank, Louis Plamondon, Louis Grenier, Mark L. Behnke, Jianxin Wang and Fang‐Xiang Wu and has published in prestigious journals such as Neurocomputing, Biomedicine & Pharmacotherapy and Knowledge-Based Systems.

In The Last Decade

Shaowu Chen

16 papers receiving 790 citations

Hit Papers

Potent and selective inhibitors of the proteasome: Dipept... 1998 2026 2007 2016 1998 100 200 300 400 500
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. Potent and selective inhibitors of the proteasome: Dipeptidyl boronic acids
    1998 543 citations Julian Adams, Mark L. Behnke et al. Bioorganic & Medicinal Chemistry Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaowu Chen China 10 469 238 124 107 88 18 816
Yu Shi China 16 248 0.5× 49 0.2× 33 0.3× 47 0.4× 79 0.9× 45 982
Yunlong He China 19 657 1.4× 244 1.0× 29 0.2× 22 0.2× 27 0.3× 50 1.1k
Zibo Zhao United States 20 1.3k 2.7× 256 1.1× 52 0.4× 85 0.8× 67 0.8× 63 1.7k
Emmanouil Athanasiadis Greece 18 465 1.0× 99 0.4× 13 0.1× 28 0.3× 56 0.6× 42 963
Lei Qin China 21 640 1.4× 246 1.0× 21 0.2× 22 0.2× 50 0.6× 51 1.4k
Jenny L. Smith United States 12 193 0.4× 95 0.4× 38 0.3× 152 1.4× 28 0.3× 44 882
Tülin Erşahin Türkiye 11 412 0.9× 109 0.5× 36 0.3× 10 0.1× 69 0.8× 16 777
Shuyu Zheng China 14 600 1.3× 144 0.6× 27 0.2× 48 0.4× 50 0.6× 36 1.0k

Countries citing papers authored by Shaowu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaowu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowu Chen

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

All Works

18 of 18 papers shown
1.
Chen, Shaowu, et al.. (2024). POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective. Knowledge-Based Systems. 300. 112253–112253. 1 indexed citations
2.
3.
Da, Zhao, Kailin Yang, Hua Guo, et al.. (2023). Mechanisms of ferroptosis in Alzheimer's disease and therapeutic effects of natural plant products: A review. Biomedicine & Pharmacotherapy. 164. 114312–114312. 51 indexed citations
4.
Chen, Shaowu, Weize Sun, & Lei Huang. (2023). WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks. 1–5. 9 indexed citations
5.
Sun, Weize, et al.. (2022). Radar Target Recognition with Self-Supplementary Neural Network. 11. 674–678. 2 indexed citations
6.
Li, Xuhua, Weize Sun, Lei Huang, & Shaowu Chen. (2022). Sub-network Multi-objective Evolutionary Algorithm for Filter Pruning. 28. 488–492. 1 indexed citations
7.
8.
Chen, Shaowu, et al.. (2022). Joint matrix decomposition for deep convolutional neural networks compression. Neurocomputing. 516. 11–26. 17 indexed citations
9.
Sun, Weize, Shaowu Chen, Lei Huang, Hing Cheung So, & Min Xie. (2020). Deep Convolutional Neural Network Compression via Coupled Tensor Decomposition. IEEE Journal of Selected Topics in Signal Processing. 15(3). 603–616. 18 indexed citations
10.
Liu, Liangliang, Shaowu Chen, Fuhao Zhang, et al.. (2019). Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Computing and Applications. 32(11). 6545–6558. 70 indexed citations
11.
Liu, Liangliang, Shaowu Chen, Xiaofeng Zhu, et al.. (2019). Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing. 384. 231–242. 28 indexed citations
12.
Chen, Shaowu, Weize Sun, Lei Huang, Xin Yang, & Junhao Huang. (2019). Compressing Fully Connected Layers using Kronecker Tensor Decomposition. 6 indexed citations
13.
Huang, Junhao, Weize Sun, Lei Huang, & Shaowu Chen. (2019). Deep Compression with Low Rank and Sparse Integrated Decomposition. 289–292. 2 indexed citations
14.
Wu, Min, et al.. (2016). Sex Hormones Enhance Gingival Inflammation without Affecting IL-1βand TNF-αin Periodontally Healthy Women during Pregnancy. Mediators of Inflammation. 2016. 1–6. 30 indexed citations
15.
Xiao, Wei, et al.. (2015). Influence of connection type on the biomechanical behavior of distal extension mandibular removable partial dentures supported by implants and natural teeth. Computer Methods in Biomechanics & Biomedical Engineering. 19(3). 240–247. 6 indexed citations
16.
Shi, Zhan, Shaowu Chen, Kenneth G. Carson, et al.. (2007). Small molecule antagonists of the CC chemokine receptor 4 (CCR4). Bioorganic & Medicinal Chemistry Letters. 17(11). 3141–3145. 22 indexed citations
17.
Adams, Julian, Mark L. Behnke, Shaowu Chen, et al.. (1998). Potent and selective inhibitors of the proteasome: Dipeptidyl boronic acids. Bioorganic & Medicinal Chemistry Letters. 8(4). 333–338. 543 indexed citations breakdown →
18.
Bates, Dallas K., Joseph A. Picard, & Shaowu Chen. (1994). Intramolecular Sulfenylation Using Sulfoxides. Preparation of 5H-Pyrrolo[1,2-a][3,1]benzothiazines. Heterocycles. 38(8). 1775–1775. 10 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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