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).
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.
Zhang, Mengmi, Tao Wang, Joo‐Hwee Lim, & Jiashi Feng. (2019). Prototype Reminding for Continual Learning.. arXiv (Cornell University).3 indexed citations
7.
Zhang, Mengmi, et al.. (2019). Lift-the-Flap: Context Reasoning Using Object-Centered Graphs.. arXiv (Cornell University).2 indexed citations
8.
Zhang, Mengmi, Jiashi Feng, Joo‐Hwee Lim, Qi Zhao, & Gabriel Kreiman. (2018). What am I searching for. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
9.
Mandal, Bappaditya, et al.. (2017). VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes).7 indexed citations
10.
Mandal, Bappaditya, et al.. (2017). Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance.. National Conference on Artificial Intelligence.1 indexed citations
11.
Tan, Cheston, et al.. (2013). Encoding Co-occurrence of Features in the HMAX Model. Cognitive Science. 35(35).2 indexed citations
12.
Tan, Cheston, et al.. (2013). Visual Recognition using a Combination of Shape and Color Features. Cognitive Science. 35(35).7 indexed citations
13.
Wang, Hsueh‐Cheng, Shijian Lu, Joo‐Hwee Lim, & Marc Pomplun. (2012). Visual Attention is Attracted by Text Features Even in Scenes without Text. Cognitive Science. 34(34).3 indexed citations
Wong, Damon Wing Kee, Nigel CK Tan, Zhenyu Zhang, et al.. (2010). Automatic Detection of Peripapillary Atrophy in Digital Fundus Photographs. Investigative Ophthalmology & Visual Science. 51(13). 1798–1798.1 indexed citations
16.
Lim, Joo‐Hwee & Jean–Pierre Chevallet. (2005). A Structured Learning Approach for Medical Image Indexing and Retrieval. CLEF (Working Notes).2 indexed citations
17.
Chevallet, Jean–Pierre, et al.. (2005). Using Ontology Dimensions and Negative Expansion to solve Precise Queries in the ImageCLEF Medical Task.. CLEF (Working Notes).7 indexed citations
18.
Lim, Joo‐Hwee & Jesse S. Jin. (2003). Learning consumer photo categories for semantic retrieval. International Joint Conference on Artificial Intelligence. 1413–1414.2 indexed citations
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.