Miu-Ling Lam
Impact in
- Human-Computer Interaction top 10%
Papers in
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- Advanced Vision and Imaging 8
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- Computer Graphics and Visualization Techniques 6
- Co-authors
- Derui Ding (1 shared paper)Yi‐Hsin Liu (1 shared paper)Bin Chen (8 shared papers)Yunhui Liu (7 shared papers)Ting‐Hsuan Chen (10 shared papers)Kit Yung Lam (2 shared papers)Jizhou Li (1 shared paper)Ting Xu (1 shared paper)
- Journals
- Nature Communications (2 papers)Sensors and Actuators B Chemical (1 paper)Biotechnology and Bioengineering (1 paper)Biofabrication (1 paper)SLAS TECHNOLOGY (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Miu-Ling Lam
41 papers receiving 553 citations
Peers
Comparison fields: 5 of 87
- Computer Graphics and Computer-Aided Design 32
- Human-Computer Interaction 46
- Media Technology 69
- Computer Vision and Pattern Recognition 142
- Control and Systems Engineering 153
Countries citing papers authored by Miu-Ling Lam
This map shows the geographic impact of Miu-Ling Lam'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 Miu-Ling Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miu-Ling Lam more than expected).
Fields of papers citing papers by Miu-Ling Lam
This network shows the impact of papers produced by Miu-Ling Lam. 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 Miu-Ling Lam. The network helps show where Miu-Ling Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Miu-Ling Lam, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 109 | |
| 2 | 2021 | 39 | |
| 3 | 2016 | 30 | |
| 4 | 2014 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2010 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 1998 | 25 | |
| 9 | 2013 | 22 | |
| 10 | 2006 | 21 | |
| 11 | 2001 | 21 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2007 | 12 | |
| 17 | 2008 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2023 | 10 |
About Miu-Ling Lam
Miu-Ling Lam is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering, having authored 43 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (6 papers), Modular Robots and Swarm Intelligence (6 papers), Cellular Mechanics and Interactions (5 papers), Robotic Mechanisms and Dynamics (5 papers), Robot Manipulation and Learning (5 papers), Advanced Optical Imaging Technologies (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (32 citations), Human-Computer Interaction (46 citations), Media Technology (69 citations), Computer Vision and Pattern Recognition (142 citations) and Control and Systems Engineering (153 citations). Miu-Ling Lam has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Derui Ding, Yi‐Hsin Liu, Bin Chen, Yunhui Liu, Ting‐Hsuan Chen, Kit Yung Lam, Jizhou Li, Ting Xu, Jun Wang and Yuanye Bao. Their work appears in journals such as Nature Communications, Sensors and Actuators B Chemical, Biotechnology and Bioengineering, Biofabrication and SLAS TECHNOLOGY.
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.