Chien‐Hung Chen
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Jenn-Wei LinSy‐Yen KuoYing‐Dar LinYuan-Cheng LaiCheng‐Fang LinYi-Ming ChanCheng‐En WuIng-Jer Huang
- Topics
- IoT and Edge/Fog Computing (5 papers)Cloud Computing and Resource Management (5 papers)Advanced Malware Detection Techniques (5 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chien‐Hung Chen
40 papers receiving 480 citations
Peers
Comparison fields: 5 of 105
- Computer Networks and Communications 180
- Information Systems 165
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 96
- Signal Processing 79
Countries citing papers authored by Chien‐Hung Chen
This map shows the geographic impact of Chien‐Hung Chen'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 Chien‐Hung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Hung Chen more than expected).
Fields of papers citing papers by Chien‐Hung Chen
This network shows the impact of papers produced by Chien‐Hung Chen. 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 Chien‐Hung Chen. The network helps show where Chien‐Hung Chen may publish in the future.
Co-authorship network of co-authors of Chien‐Hung Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hung Chen. A scholar is included among the top collaborators of Chien‐Hung Chen 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 Chien‐Hung Chen. Chien‐Hung Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | Compacting, Picking and Growing for Unforgetting Continual Learning | 42 |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 65 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | Preliminar observations on efficacy of chloroquine in treatment of paragonimiasis; a report of three cases. | 0 |
| 20 | 2 |
About Chien‐Hung Chen
Chien‐Hung Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 46 papers that have together received 502 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Software (32 citations), Computer Networks and Communications (180 citations) and Signal Processing (79 citations). Chien‐Hung Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jenn-Wei Lin, Sy‐Yen Kuo, Ying‐Dar Lin, Yuan-Cheng Lai, Cheng‐Fang Lin, Yi-Ming Chan, Cheng‐En Wu, Ing-Jer Huang, Wu‐Seng Lung and Che–Rung Lee. Their work appears in journals such as Scientific Reports, IEEE Transactions on Information Theory and Transplantation.
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.