H. C. Wu

583 total citations
29 papers, 421 citations indexed

About

H. C. Wu is a scholar working on Molecular Biology, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, H. C. Wu has authored 29 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in H. C. Wu's work include Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (5 papers). H. C. Wu is often cited by papers focused on Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (5 papers). H. C. Wu collaborates with scholars based in Hong Kong, China and Bangladesh. H. C. Wu's co-authors include S. C. Chan, K. M. Tsui, Yunhe Hou, Felix F. Wu, Yik‐Chung Wu, Li Zhang, Wenbo Qi, K. M. Tsui, Huiming Chen and Yin‐Wen Chan and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

H. C. Wu

26 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. C. Wu Hong Kong 11 230 109 104 46 37 29 421
Pınar Tüfekçi Türkiye 6 82 0.4× 185 1.7× 70 0.7× 40 0.9× 28 0.8× 12 366
Seyyed Soheil Sadat Hosseini Iran 6 413 1.8× 163 1.5× 111 1.1× 30 0.7× 6 0.2× 9 615
Martin Schlüter Germany 8 174 0.8× 86 0.8× 84 0.8× 14 0.3× 19 0.5× 20 437
Mehmet Katı Türkiye 9 166 0.7× 275 2.5× 72 0.7× 30 0.7× 12 0.3× 9 488
Morteza Alinia Ahandani Iran 11 59 0.3× 227 2.1× 43 0.4× 27 0.6× 7 0.2× 25 367
Kyle Robert Harrison Canada 11 53 0.2× 236 2.2× 88 0.8× 29 0.6× 6 0.2× 30 442
Hathiram Nenavath India 6 61 0.3× 338 3.1× 65 0.6× 109 2.4× 13 0.4× 13 504
Vikas Pratap Singh India 12 166 0.7× 136 1.2× 74 0.7× 81 1.8× 44 1.2× 31 409
Rifat Edizkan Türkiye 8 143 0.6× 187 1.7× 38 0.4× 76 1.7× 8 0.2× 33 388
Shoubao Su China 9 62 0.3× 148 1.4× 31 0.3× 51 1.1× 14 0.4× 42 319

Countries citing papers authored by H. C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by H. C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of H. C. Wu. A scholar is included among the top collaborators of H. C. 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 H. C. Wu. H. C. Wu 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.
Ho, Raymond H., Kevin Hung, Kwok Tai Chui, Yaru Fu, & H. C. Wu. (2025). EEG-Based Dementia Classification Using CS-EMD Synchrony Features and Quantum Machine Learning. IEEE Transactions on Consumer Electronics. 71(2). 2849–2863.
2.
Yang, Zikun, Wenbo Qi, S. C. Chan, & H. C. Wu. (2024). MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images. Biomedical Signal Processing and Control. 95. 106376–106376. 1 indexed citations
3.
Wu, H. C., et al.. (2024). WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex. IEEE Access. 12. 126611–126623. 1 indexed citations
4.
5.
Qi, Wenbo, H. C. Wu, & S. C. Chan. (2023). MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images. IEEE Transactions on Image Processing. 32. 4842–4855. 25 indexed citations
6.
Chan, S. C., et al.. (2022). A Robust PAST-Based ESPRIT Algorithm With Variable Forgetting Factor and Regularization for Frequencies/Harmonics Estimation in Impulsive Noise. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 7 indexed citations
7.
Wu, H. C., et al.. (2021). A New Regularized Recursive Dynamic Factor Analysis With Variable Forgetting Factor and Subspace Dimension for Wireless Sensor Networks With Missing Data. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 10 indexed citations
8.
Chen, Huiming, et al.. (2019). A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4776–4790. 28 indexed citations
9.
Wu, H. C., et al.. (2019). A Robust Statistical Approach to Distributed Power System State Estimation With Bad Data. IEEE Transactions on Smart Grid. 11(1). 517–527. 31 indexed citations
10.
Chan, S. C., et al.. (2019). An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-Scale Systems. IEEE Systems Journal. 13(3). 2986–2997. 17 indexed citations
11.
Zhang, Li, et al.. (2018). A Multi-Laplacian Prior and Augmented Lagrangian Approach to the Exploratory Analysis of Time-Varying Gene and Transcriptional Regulatory Networks for Gene Microarray Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(6). 1816–1829. 7 indexed citations
12.
13.
Wu, H. C., et al.. (2017). Novel Consensus Gene Selection Criteria for Distributed GPU Partial Least Squares-Based Gene Microarray Analysis in Diffused Large B Cell Lymphoma (DLBCL) and Related Findings. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 2039–2052. 11 indexed citations
14.
Liu, Zhong, et al.. (2016). Bayesian unscented Kalman filter for state estimation of nonlinear and non-Gaussian systems. 443–447. 5 indexed citations
15.
16.
17.
Chan, S. C., Li Zhang, H. C. Wu, & K. M. Tsui. (2014). A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1). 123–135. 19 indexed citations
18.
Chan, S. C., H. C. Wu, & K. M. Tsui. (2012). Robust Recursive Eigendecomposition and Subspace-Based Algorithms With Application to Fault Detection in Wireless Sensor Networks. IEEE Transactions on Instrumentation and Measurement. 61(6). 1703–1718. 30 indexed citations
19.
Li, Victor C., Yin‐Wen Chan, & H. C. Wu. (1994). Interface Strengthening Mechanisms in Polymeric Fiber Reinforced Cementitious Composites. Deep Blue (University of Michigan). 13 indexed citations
20.
Suzuki, Mikio, et al.. (1982). Acid glycosidases activities in a strain of Actinomyces viscosus.. Japanese Journal of Oral Biology. 24(4). 1052–1054.

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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