Liang-Bi Chen
Impact in
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- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 5%
Papers in
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- IoT-based Smart Home Systems 12
- Co-authors
- Wan‐Jung Chang (54 shared papers)Chia-Hao Hsu (13 shared papers)Jian-Ping Su (18 shared papers)Wei-Chien Wang (7 shared papers)Ching-Hsiang Yang (5 shared papers)Wu-Chih Hu (14 shared papers)Keming Liu (2 shared papers)Samuel D. Faust (1 shared paper)
In The Last Decade
Liang-Bi Chen
155 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 366
- Human-Computer Interaction 80
- Water Science and Technology 181
- Industrial and Manufacturing Engineering 124
- Automotive Engineering 127
Countries citing papers authored by Liang-Bi Chen
This map shows the geographic impact of Liang-Bi 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 Liang-Bi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Bi Chen more than expected).
Fields of papers citing papers by Liang-Bi Chen
This network shows the impact of papers produced by Liang-Bi 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 Liang-Bi Chen. The network helps show where Liang-Bi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Bi Chen, 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Principles and Applications of Water Chemistry | 1967 | 132 |
| 2 | 2008 | 93 | |
| 3 | 2019 | 91 | |
| 4 | 2016 | 91 | |
| 5 | 2009 | 84 | |
| 6 | 2022 | 79 | |
| 7 | 2020 | 69 | |
| 8 | 2018 | 66 | |
| 9 | 2019 | 62 | |
| 10 | 2020 | 60 | |
| 11 | 2020 | 54 | |
| 12 | 2020 | 50 | |
| 13 | 2019 | 45 | |
| 14 | 1998 | 38 | |
| 15 | 2021 | 38 | |
| 16 | 2017 | 33 | |
| 17 | 2023 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2022 | 23 | |
| 20 | 2022 | 23 |
About Liang-Bi Chen
Liang-Bi Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Plant Science and Artificial Intelligence, having authored 173 papers that have together received 1.9k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (16 papers), Autonomous Vehicle Technology and Safety (12 papers), IoT-based Smart Home Systems (12 papers), Interconnection Networks and Systems (9 papers), IoT and GPS-based Vehicle Safety Systems (8 papers), Smart Agriculture and AI (8 papers), Tactile and Sensory Interactions (7 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (366 citations), Human-Computer Interaction (80 citations), Water Science and Technology (181 citations), Industrial and Manufacturing Engineering (124 citations) and Automotive Engineering (127 citations). Liang-Bi Chen has collaborated with scholars based in Taiwan, China and Australia. Frequent co-authors include Wan‐Jung Chang, Chia-Hao Hsu, Jian-Ping Su, Wei-Chien Wang, Ching-Hsiang Yang, Wu-Chih Hu, Keming Liu, Samuel D. Faust, Yu-Zung Chiou and Szu‐Yu Kuo. Their work appears in journals such as IEEE Access, IEEE Sensors Journal, Applied Sciences, IEEE Transactions on Consumer Electronics and Electronics.
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.