Ching‐Hsien Hsu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Yeh‐Ching ChungYingyuan XiaoHongya WangBrij B. GuptaWenguang ZhengNeeraj KumarPeiying ZhangAnupama Mishra
- Topics
- Recommender Systems and Techniques (5 papers)Network Security and Intrusion Detection (4 papers)Software-Defined Networks and 5G (3 papers)
In The Last Decade
Ching‐Hsien Hsu
29 papers receiving 383 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 206
- Information Systems 165
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 64
- Signal Processing 46
Countries citing papers authored by Ching‐Hsien Hsu
This map shows the geographic impact of Ching‐Hsien Hsu'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 Ching‐Hsien Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Hsien Hsu more than expected).
Fields of papers citing papers by Ching‐Hsien Hsu
This network shows the impact of papers produced by Ching‐Hsien Hsu. 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 Ching‐Hsien Hsu. The network helps show where Ching‐Hsien Hsu may publish in the future.
Co-authorship network of co-authors of Ching‐Hsien Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Hsien Hsu. A scholar is included among the top collaborators of Ching‐Hsien Hsu 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 Ching‐Hsien Hsu. Ching‐Hsien Hsu 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 | 5 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 34 | |
| 16 | Service Classification Based on Improved BP Neural Network | 3 |
| 17 | 47 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 21 |
About Ching‐Hsien Hsu
Ching‐Hsien Hsu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 33 papers that have together received 404 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Network Security and Intrusion Detection (4 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Computer Networks and Communications (206 citations), Information Systems (165 citations) and Hardware and Architecture (35 citations). Ching‐Hsien Hsu has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Yeh‐Ching Chung, Yingyuan Xiao, Hongya Wang, Brij B. Gupta, Wenguang Zheng, Neeraj Kumar, Peiying Zhang, Anupama Mishra, Dragan Peraković and Lei Sun. Their work appears in journals such as Technological Forecasting and Social Change, Knowledge-Based Systems and Future Generation Computer Systems.
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.