Ling Lo
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Face and Expression Recognition 5
- Face recognition and analysis 4
- Generative Adversarial Networks and Image Synthesis 3
- Human Pose and Action Recognition 2
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- Emotion and Mood Recognition 5
- Co-authors
- Hong-Han Shuai (12 shared papers)Hongxia Xie (4 shared papers)Hao‐Wen Cheng (5 shared papers)Wen-Huang Cheng (5 shared papers)Wen-Huang Cheng (2 shared papers)David Vai Kiong Chao (1 shared paper)Chia‐Lin Liu (1 shared paper)Bo Wu (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (2 papers)Journal of Clinical Hypertension (1 paper)IEEE Transactions on Multimedia (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)
In The Last Decade
Ling Lo
13 papers receiving 328 citations
Peers
Comparison fields: 5 of 52
- Experimental and Cognitive Psychology 168
- Computer Vision and Pattern Recognition 221
- Human-Computer Interaction 38
- Urban Studies 22
- Signal Processing 37
Countries citing papers authored by Ling Lo
This map shows the geographic impact of Ling Lo'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 Ling Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Lo more than expected).
Fields of papers citing papers by Ling Lo
This network shows the impact of papers produced by Ling Lo. 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 Ling Lo. The network helps show where Ling Lo may publish in the future.
Co-authors
The 11 scholars most cited alongside Ling Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2020 | 61 | |
| 3 | 2022 | 27 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2002 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 |
About Ling Lo
Ling Lo is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Urban Studies, Cognitive Neuroscience and Surgery, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Emotion and Mood Recognition (5 papers), Face recognition and analysis (4 papers), Advanced Computing and Algorithms (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Human Pose and Action Recognition (2 papers), Face Recognition and Perception (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (168 citations), Computer Vision and Pattern Recognition (221 citations), Human-Computer Interaction (38 citations), Urban Studies (22 citations) and Signal Processing (37 citations). Ling Lo has collaborated with scholars based in Taiwan, Canada and Hong Kong. Frequent co-authors include Hong-Han Shuai, Hongxia Xie, Hao‐Wen Cheng, Wen-Huang Cheng, Wen-Huang Cheng, David Vai Kiong Chao, Chia‐Lin Liu, Bo Wu, Carissa Wong and Gordon C. Andrews. Their work appears in journals such as IEEE Transactions on Affective Computing, Journal of Clinical Hypertension, IEEE Transactions on Multimedia, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the 30th ACM International Conference on Multimedia.
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.