H.C. Shen
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Cellular and Molecular Neuroscience
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Distributed Sensor Networks and Detection Algorithms (7 papers)Image Retrieval and Classification Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Radiation Oncology*Biology*Physics
In The Last Decade
H.C. Shen
43 papers receiving 814 citations
Peers
Comparison fields: 5 of 113
- Biomedical Engineering 308
- Computer Vision and Pattern Recognition 283
- Artificial Intelligence 138
- Signal Processing 115
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by H.C. Shen
This map shows the geographic impact of H.C. Shen'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. Shen 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. Shen more than expected).
Fields of papers citing papers by H.C. Shen
This network shows the impact of papers produced by H.C. Shen. 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. Shen. The network helps show where H.C. Shen may publish in the future.
Co-authorship network of co-authors of H.C. Shen
This figure shows the co-authorship network connecting the top 25 collaborators of H.C. Shen. A scholar is included among the top collaborators of H.C. Shen 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. Shen. H.C. Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 36 | |
| 6 | 52 | |
| 7 | 16 | |
| 8 | 203 | |
| 9 | 128 | |
| 10 | 28 | |
| 11 | Marshalling National Resources to Tackle the Rural Issue | 1 |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | A 3D Reconstruction System for Human Body Modeling | 1 |
| 17 | 15 | |
| 18 | 19 | |
| 19 | A Knowledge Represenation for Roving Robots. | 2 |
| 20 | APPLICATION OF IMAGE ANALYSIS TECHNOLOGY TO AUTOMATION OF PAVEMENT CONDITION SURVEYS | 9 |
About H.C. Shen
H.C. Shen is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 48 papers that have together received 858 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Signal Processing (115 citations) and Automotive Engineering (106 citations). H.C. Shen has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Jingdong Wang, Ajay Kumar, Changshui Zhang, Fei Wang, Long Quan, Shaochen Chen, Wei Zhu, Shangting You, Quyen T. Nguyen and Michael Whitney. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Radiation Oncology*Biology*Physics.
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.