Ching-Hu Lu
Impact in
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- Context-Aware Activity Recognition Systems
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
Papers in
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- Context-Aware Activity Recognition Systems 31
- Advanced Neural Network Applications 9
- Video Surveillance and Tracking Methods 7
- Advanced Image and Video Retrieval Techniques 6
- Image Enhancement Techniques 6
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- IoT and Edge/Fog Computing 15
- Co-authors
- Li‐Chen Fu (24 shared papers)Yi-Ting Chiang (6 shared papers)Jane Yung-jen Hsu (4 shared papers)Chao-Lin Wu (9 shared papers)I‐Shyan Hwang (7 shared papers)Zhi Hong Chen (2 shared papers)Yihan Chen (2 shared papers)Andrew Tanny Liem (3 shared papers)
In The Last Decade
Ching-Hu Lu
73 papers receiving 814 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 493
- Computer Networks and Communications 311
- Computer Science Applications 48
- Human-Computer Interaction 45
- Transportation 47
Countries citing papers authored by Ching-Hu Lu
This map shows the geographic impact of Ching-Hu Lu'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-Hu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Hu Lu more than expected).
Fields of papers citing papers by Ching-Hu Lu
This network shows the impact of papers produced by Ching-Hu Lu. 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-Hu Lu. The network helps show where Ching-Hu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-Hu Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 122 | |
| 2 | 2010 | 46 | |
| 3 | 2017 | 41 | |
| 4 | 2006 | 39 | |
| 5 | 2010 | 38 | |
| 6 | 2010 | 36 | |
| 7 | 2018 | 36 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2010 | 27 | |
| 12 | 2015 | 25 | |
| 13 | 2020 | 20 | |
| 14 | 2018 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2009 | 19 | |
| 17 | 2012 | 18 | |
| 18 | 2014 | 18 | |
| 19 | 2014 | 16 | |
| 20 | 2009 | 15 |
About Ching-Hu Lu
Ching-Hu Lu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Electrical and Electronic Engineering and Artificial Intelligence, having authored 75 papers that have together received 841 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (31 papers), IoT and Edge/Fog Computing (15 papers), IoT-based Smart Home Systems (13 papers), Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (7 papers), Data Stream Mining Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (493 citations), Computer Networks and Communications (311 citations), Computer Science Applications (48 citations), Human-Computer Interaction (45 citations) and Transportation (47 citations). Ching-Hu Lu has collaborated with scholars based in Taiwan, Indonesia and Yemen. Frequent co-authors include Li‐Chen Fu, Yi-Ting Chiang, Jane Yung-jen Hsu, Chao-Lin Wu, I‐Shyan Hwang, Zhi Hong Chen, Yihan Chen, Andrew Tanny Liem, Shih-Shinh Huang and Mohammad Syuhaimi Ab–Rahman. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Systems Journal, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Emerging Topics in Computing and IEEE Transactions on Human-Machine 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.