Edward T.-H. Chu
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Ying‐Dar LinYuan‐Cheng LaiTaiyi HuangJ. F. RojasLun‐Wei KuYuan-Cheng LaiJane W. S. LiuPei-Hsuan Tsai
- Topics
- Context-Aware Activity Recognition Systems (12 papers)Indoor and Outdoor Localization Technologies (9 papers)IoT and Edge/Fog Computing (6 papers)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Edward T.-H. Chu
54 papers receiving 525 citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 221
- Electrical and Electronic Engineering 153
- Computer Vision and Pattern Recognition 142
- Information Systems 77
- Signal Processing 63
Countries citing papers authored by Edward T.-H. Chu
This map shows the geographic impact of Edward T.-H. Chu'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 Edward T.-H. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward T.-H. Chu more than expected).
Fields of papers citing papers by Edward T.-H. Chu
This network shows the impact of papers produced by Edward T.-H. Chu. 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 Edward T.-H. Chu. The network helps show where Edward T.-H. Chu may publish in the future.
Co-authorship network of co-authors of Edward T.-H. Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Edward T.-H. Chu. A scholar is included among the top collaborators of Edward T.-H. Chu 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 Edward T.-H. Chu. Edward T.-H. Chu 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 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 74 | |
| 16 | 5 | |
| 17 | Extracting Features for Machine Learning in NTCIR-10 RITE Task. | 1 |
| 18 | Crowdsourcing support system for disaster surveillance and response | 14 |
| 19 | 3 | |
| 20 | 25 |
About Edward T.-H. Chu
Edward T.-H. Chu is a scholar working on Computer Networks and Communications, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 548 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Indoor and Outdoor Localization Technologies (9 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Software (44 citations), Computer Networks and Communications (221 citations) and Computer Science Applications (45 citations). Edward T.-H. Chu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Ying‐Dar Lin, Yuan‐Cheng Lai, Taiyi Huang, J. F. Rojas, Lun‐Wei Ku, Yuan-Cheng Lai, Jane W. S. Liu, Pei-Hsuan Tsai, Jane Liu and Chi‐Sheng Shih. Their work appears in journals such as Computers & Education, Sensors and IEEE Transactions on Software Engineering.
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.