Kanchana Ranasinghe

533 total citations
8 papers, 97 citations indexed

About

Kanchana Ranasinghe is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Kanchana Ranasinghe has authored 8 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computer Graphics and Computer-Aided Design. Recurrent topics in Kanchana Ranasinghe's work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and Human Pose and Action Recognition (2 papers). Kanchana Ranasinghe is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and Human Pose and Action Recognition (2 papers). Kanchana Ranasinghe collaborates with scholars based in United States, Australia and Sri Lanka. Kanchana Ranasinghe's co-authors include Michael S. Ryoo, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Sachin Ravi, Jonathon Shlens, Yinfei Yang, Alexander Toshev, Jathushan Rajasegaran and Tsung‐Yu Lin and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Monash University Research Portal (Monash University).

In The Last Decade

Kanchana Ranasinghe

8 papers receiving 95 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kanchana Ranasinghe United States	5	71	53	10	4	4	8	97
Mohammad Mahdi Arzani Iran	5	54 0.8×	30 0.6×	6 0.6×	3 0.8×	2 0.5×	8	62
Yifeng Geng China	4	59 0.8×	63 1.2×	16 1.6×	2 0.5×	6 1.5×	7	94
Gabriele Graffieti Italy	6	72 1.0×	93 1.8×	7 0.7×	3 0.8×	1 0.3×	9	133
Quinn Jones United States	3	47 0.7×	51 1.0×	7 0.7×	2 0.5×	3 0.8×	4	80
Zhongwei Cheng China	5	107 1.5×	76 1.4×	12 1.2×	2 0.5×	1 0.3×	9	116
Tsung-Wei Ke United States	5	76 1.1×	42 0.8×	7 0.7×	2 0.5×	5 1.3×	12	101
Shengxin Zha United States	4	114 1.6×	53 1.0×	11 1.1×	3 0.8×	1 0.3×	9	135
Dongyoon Wee South Korea	4	75 1.1×	30 0.6×	12 1.2×	2 0.5×	10 2.5×	10	89
Davide Testuggine United States	2	37 0.5×	60 1.1×	9 0.9×	6 1.5×		2	88
Taihong Xiao United States	4	91 1.3×	43 0.8×	3 0.3×	2 0.5×	2 0.5×	6	118

Countries citing papers authored by Kanchana Ranasinghe

Since Specialization

Citations

This map shows the geographic impact of Kanchana Ranasinghe'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 Kanchana Ranasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanchana Ranasinghe more than expected).

Fields of papers citing papers by Kanchana Ranasinghe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanchana Ranasinghe. 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 Kanchana Ranasinghe. The network helps show where Kanchana Ranasinghe may publish in the future.

Co-authorship network of co-authors of Kanchana Ranasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Kanchana Ranasinghe. A scholar is included among the top collaborators of Kanchana Ranasinghe 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 Kanchana Ranasinghe. Kanchana Ranasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ranasinghe, Kanchana, et al.. (2025). Language Repository for Long Video Understanding. 5627–5646. 1 indexed citations

2.

Ranasinghe, Kanchana, et al.. (2024). Diffusion Illusions: Hiding Images in Plain Sight. 1–11. 4 indexed citations

3.

Ranasinghe, Kanchana, et al.. (2024). Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. 12977–12987. 5 indexed citations

4.

Ranasinghe, Kanchana, et al.. (2023). Perceptual Grouping in Contrastive Vision-Language Models. 5548–5561. 11 indexed citations

5.

Ranasinghe, Kanchana, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, & Michael S. Ryoo. (2022). Self-supervised Video Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2864–2874. 67 indexed citations

6.

Naseer, Muzammal, Kanchana Ranasinghe, Salman Khan, et al.. (2021). Intriguing Properties of Vision Transformers. Monash University Research Portal (Monash University). 34. 1 indexed citations

7.

Jayasumana, Sadeep, et al.. (2020). Bipartite Conditional Random Fields for Panoptic Segmentation. 1 indexed citations

8.

Rajasegaran, Jathushan, et al.. (2017). Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. IEEE Transactions on Circuits and Systems for Video Technology. 29(9). 2693–2707. 7 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.

Explore authors with similar magnitude of impact