H. C. Wu

597 citations
30 papers · 429 · h-index 11

Impact in

Papers in

    • Gene expression and cancer classification 8
    • Gene Regulatory Network Analysis 6
    • Bioinformatics and Genomic Networks 5
    • Advanced Adaptive Filtering Techniques 4

H. C. Wu

26 papers receiving 418 citations

Peers

H. C. Wu
Comparison fields: 5 of 58
  • Control and Systems Engineering 105
  • Electrical and Electronic Engineering 233
  • Artificial Intelligence 109
  • Management Science and Operations Research 36
  • Computer Vision and Pattern Recognition 43
Replace Pınar Tüfekçi with:
Pınar Tüfekçi Türkiye
Danilo Macciò Italy
Linfeng Yang China
Muhammad Ilyas Menhas China
Zenan Ling China
Morteza Alinia Ahandani Iran
Zhenning Yang China
Ashutosh Bhadoria India
Aristidis Vlachos Greece
Vikas Pratap Singh India
H. C. Wu relative to Pınar Tüfekçi Türkiye Pınar Tüfekçi's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside H. C. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. C. Wu Line = papers co-authored together H. C. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 201345
3 201932
4 201230
5 201928
6 202328
7 201419
8 201917
9
Interface Strengthening Mechanisms in Polymeric Fiber Reinforced Cementitious Composites
199413
10 201711
11 201211
12 202110
13 20187
14 20227
15 20165
16 20164
17 20213
18 20163
19 20172
20 20172

About H. C. Wu

H. C. Wu is a scholar working on Molecular Biology, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Structural Health Monitoring Techniques (3 papers), Fault Detection and Control Systems (3 papers), Control Systems and Identification (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Control and Systems Engineering (105 citations), Electrical and Electronic Engineering (233 citations), Artificial Intelligence (109 citations), Management Science and Operations Research (36 citations) and Computer Vision and Pattern Recognition (43 citations). H. C. Wu has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include S. C. Chan, K. M. Tsui, Yunhe Hou, Yik‐Chung Wu, Felix F. Wu, Li Zhang, Wenbo Qi, K. M. Tsui, Huiming Chen and Yin‐Wen Chan. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Smart Grid, IEEE Transactions on Image Processing and IEEE Journal of Biomedical and Health Informatics.

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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