Chaur‐Heh Hsieh
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Jen‐Yang ChenChung‐Ming KuoYanshuo LiJeng‐Shyang PanKuan-Ting LaiPing HuangChung‐Nan LeeYi‐Hui Lee
- Topics
- Advanced Data Compression Techniques (25 papers)Advanced Vision and Imaging (19 papers)Video Coding and Compression Technologies (17 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chaur‐Heh Hsieh
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 867
- Signal Processing 524
- Electrical and Electronic Engineering 202
- Artificial Intelligence 164
- Biomedical Engineering 80
Countries citing papers authored by Chaur‐Heh Hsieh
This map shows the geographic impact of Chaur‐Heh Hsieh'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 Chaur‐Heh Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaur‐Heh Hsieh more than expected).
Fields of papers citing papers by Chaur‐Heh Hsieh
This network shows the impact of papers produced by Chaur‐Heh Hsieh. 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 Chaur‐Heh Hsieh. The network helps show where Chaur‐Heh Hsieh may publish in the future.
Co-authorship network of co-authors of Chaur‐Heh Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Chaur‐Heh Hsieh. A scholar is included among the top collaborators of Chaur‐Heh Hsieh 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 Chaur‐Heh Hsieh. Chaur‐Heh Hsieh 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 | End-to-End Deep Learning-Based Human Activity Recognition Using Channel State Information | 3 |
| 3 | 0 | |
| 4 | Analysis of Evaluation Metrics for Image Segmentation. | 2 |
| 5 | Bayesian-Based Probabilistic Architecture for Image Categorization Using Macro- and Micro-Sense Visual Vocabulary. | 1 |
| 6 | A Robust Lane Detection Method Using Adaptive Road Mask | 2 |
| 7 | 0 | |
| 8 | A Fast Algorithm of Temporal Median Filter for Background Subtraction. | 11 |
| 9 | 48 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | Integrating Region Distribution and Edge Detection for Color Image Segmentation | 1 |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 123 | |
| 17 | 6 | |
| 18 | IMAGE SEGMENTATION BASED ON FUZZY CLUSTERING ALGORITHM | 1 |
| 19 | A VLSI Architecture for Clustering Analyzer using Systolic Arrays. | 2 |
| 20 | 13 |
About Chaur‐Heh Hsieh
Chaur‐Heh Hsieh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (25 papers), Advanced Vision and Imaging (19 papers) and Video Coding and Compression Technologies (17 papers). The work is most often cited by research in Signal Processing (524 citations), Computer Vision and Pattern Recognition (867 citations) and Human-Computer Interaction (54 citations). Chaur‐Heh Hsieh has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jen‐Yang Chen, Chung‐Ming Kuo, Yanshuo Li, Jeng‐Shyang Pan, Kuan-Ting Lai, Ping Huang, Chung‐Nan Lee, Yi‐Hui Lee, Chung-Lun Kuo and Chengwei Wu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.
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.