Joo‐Hwee Lim
About
In The Last Decade
Joo‐Hwee Lim
189 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 1.9k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Ophthalmology 897
- Artificial Intelligence 354
- Media Technology 268
Countries citing papers authored by Joo‐Hwee Lim
This map shows the geographic impact of Joo‐Hwee Lim'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 Joo‐Hwee Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo‐Hwee Lim more than expected).
Fields of papers citing papers by Joo‐Hwee Lim
This network shows the impact of papers produced by Joo‐Hwee Lim. 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 Joo‐Hwee Lim. The network helps show where Joo‐Hwee Lim may publish in the future.
Co-authorship network of co-authors of Joo‐Hwee Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Joo‐Hwee Lim. A scholar is included among the top collaborators of Joo‐Hwee Lim 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 Joo‐Hwee Lim. Joo‐Hwee Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | Predicting Event Memorability from Contextual Visual Semantics | 0 |
| 4 | Prototype Reminding for Continual Learning. | 3 |
| 5 | Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. | 2 |
| 6 | 83 | |
| 7 | What am I searching for | 1 |
| 8 | 29 | |
| 9 | VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization | 7 |
| 10 | Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance. | 1 |
| 11 | Visual Recognition using a Combination of Shape and Color Features | 7 |
| 12 | Encoding Co-occurrence of Features in the HMAX Model | 2 |
| 13 | Visual Attention is Attracted by Text Features Even in Scenes without Text | 3 |
| 14 | 34 | |
| 15 | Extended Visual Memory for Computer-Aided Vision | 1 |
| 16 | Automatic Detection of Peripapillary Atrophy in Digital Fundus Photographs | 1 |
| 17 | A Structured Learning Approach for Medical Image Indexing and Retrieval | 2 |
| 18 | Learning consumer photo categories for semantic retrieval | 2 |
| 19 | 0 | |
| 20 | 3 |
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.