Huiwen Wu

402 total citations
12 papers, 253 citations indexed

About

Huiwen Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Huiwen Wu has authored 12 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Huiwen Wu's work include Stochastic Gradient Optimization Techniques (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Huiwen Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Huiwen Wu collaborates with scholars based in China, Taiwan and United States. Huiwen Wu's co-authors include Gwo‐Bin Lee, Chun-Che Lin, Jung-Hao Wang, Lingjuan Lyu, Chaochao Chen, Li Wang, Jiajie Su, Xiaolin Zheng, Ju-Nan Kuo and Kuangwen Hsieh and has published in prestigious journals such as Optics Express, Frontiers in Neuroscience and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Huiwen Wu

11 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiwen Wu China 6 120 91 56 50 38 12 253
Jiahui Wen China 9 72 0.6× 81 0.9× 66 1.2× 38 0.8× 82 2.2× 29 308
Sara Rampazzi United States 6 43 0.4× 35 0.4× 36 0.6× 23 0.5× 37 1.0× 24 139
Xiu Susie Fang China 9 26 0.2× 89 1.0× 25 0.4× 72 1.4× 8 0.2× 22 249
Yuxuan Chen China 7 16 0.1× 62 0.7× 27 0.5× 31 0.6× 34 0.9× 16 161
Xu Tan China 8 42 0.3× 41 0.5× 8 0.1× 20 0.4× 29 0.8× 20 151
Fumin Wang China 6 21 0.2× 165 1.8× 15 0.3× 101 2.0× 15 0.4× 13 284
Junaid ur Rehman South Korea 12 36 0.3× 249 2.7× 7 0.1× 12 0.2× 32 0.8× 48 350
Vasyl Martsenyuk Ukraine 7 24 0.2× 23 0.3× 27 0.5× 13 0.3× 20 0.5× 80 185
Zihan Wang China 9 24 0.2× 198 2.2× 13 0.2× 30 0.6× 12 0.3× 40 278
Salvatore Barone Italy 11 83 0.7× 27 0.3× 74 1.3× 9 0.2× 124 3.3× 31 378

Countries citing papers authored by Huiwen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huiwen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiwen Wu

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

All Works

12 of 12 papers shown
1.
Liu, Ximeng, et al.. (2025). VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network. IEEE Transactions on Dependable and Secure Computing. 22(5). 5617–5631. 1 indexed citations
2.
Wu, Huiwen, Haoqi Sun, Jianhua Liu, et al.. (2024). Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study. Frontiers in Neuroscience. 18. 1330556–1330556.
3.
Chen, Chaochao, Huiwen Wu, Jiajie Su, et al.. (2022). Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. Proceedings of the ACM Web Conference 2022. 1455–1465. 55 indexed citations
4.
Chen, Chaochao, Jun Zhou, Huiwen Wu, et al.. (2022). Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1959–1965. 41 indexed citations
5.
Wu, Huiwen, et al.. (2021). Model and implementation of pseudorange-bias-free linear channel. GPS Solutions. 25(2). 2 indexed citations
6.
Wu, Huiwen. (2019). Randomized Fast Solvers for Linear and Nonlinear Problems in Data Science. eScholarship (California Digital Library). 1 indexed citations
7.
Chen, Yu, Huiwen Wu, & Danpu Liu. (2019). Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems. 76–81. 2 indexed citations
8.
9.
Wu, Huiwen, et al.. (2014). Microfluidic platforms for discovery and detection of molecular biomarkers. Microfluidics and Nanofluidics. 16(5). 941–963. 18 indexed citations
10.
Wu, Huiwen, et al.. (2014). Novel Quantitative Macro Biomolecule Analysis Based on a Micro Coulter Counter. 1 indexed citations
11.
Lin, Chun-Che, Jung-Hao Wang, Huiwen Wu, & Gwo‐Bin Lee. (2010). Microfluidic Immunoassays. JALA Journal of the Association for Laboratory Automation. 15(3). 253–274. 108 indexed citations
12.
Kuo, Ju-Nan, Huiwen Wu, & Gwo‐Bin Lee. (2006). Optical projection display systems integrated with three-color-mixing waveguides and grating-light-valve devices. Optics Express. 14(15). 6844–6844. 14 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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