Chee Seng Chan

7.4k total citations · 3 hit papers
141 papers, 3.5k citations indexed

About

Chee Seng Chan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chee Seng Chan has authored 141 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Chee Seng Chan's work include Video Surveillance and Tracking Methods (25 papers), Human Pose and Action Recognition (21 papers) and Anomaly Detection Techniques and Applications (14 papers). Chee Seng Chan is often cited by papers focused on Video Surveillance and Tracking Methods (25 papers), Human Pose and Action Recognition (21 papers) and Anomaly Detection Techniques and Applications (14 papers). Chee Seng Chan collaborates with scholars based in Malaysia, United Kingdom and China. Chee Seng Chan's co-authors include Paolo Remagnino, Sue Han Lee, Simon Joseph Mayo, Anhar Risnumawan, Chew Lim Tan, Wei Tan, Mei Kuan Lim, Ali Ahmadian, Soheil Salahshour and Kam Woh Ng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Chee Seng Chan

132 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How deep learning extracts and learns leaf features for plant classification

2017 415 citations Sue Han Lee, Chee Seng Chan et al. Pattern Recognition profile →
A robust arbitrary text detection system for natural scene images

2014 312 citations Chee Seng Chan et al. profile →
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer

2020 203 citations Roshan A. Welikala, Paolo Remagnino et al. profile →

Peers

Countries citing papers authored by Chee Seng Chan

Since Specialization

Citations

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

Fields of papers citing papers by Chee Seng Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Seng Chan. 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 Chee Seng Chan. The network helps show where Chee Seng Chan may publish in the future.

Co-authorship network of co-authors of Chee Seng Chan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Progressive expansion: Cost-efficient medical image analysis model with reversed once-for-all network training paradigm 2024 ·Neurocomputing ·(unknown), Chee Seng Chan, (unknown), (unknown)	0
2	Efficient label-free pruning and retraining for Text-VQA Transformers 2024 ·Pattern Recognition Letters ·(unknown), Chee Seng Chan, (unknown)	1
3	When IC meets text: Towards a rich annotated integrated circuit text dataset 2023 ·Pattern Recognition ·Chun Chet Ng, Che-Tsung Lin, (unknown), Xinyu Wang, (unknown), Chee Seng Chan, Christopher Zach	1
4	Mask-guided network for image captioning 2023 ·Pattern Recognition Letters ·Jian Han Lim, Chee Seng Chan	8
5	Federated Learning with Privacy-preserving and Model IP-right-protection 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, (unknown), (unknown)	25
6	Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model 2023 ·Computers and Education Artificial Intelligence ·(unknown), (unknown), Chee Seng Chan	121
7	SFAMNet: A scene flow attention-based micro-expression network 2023 ·Neurocomputing ·(unknown), Sze‐Teng Liong, Chee Seng Chan, John See	5
8	Digital Watermarking for Machine Learning Model 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Lixin Fan, Chee Seng Chan, Qiang Yang	1
9	Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing 2023 ·Chalmers Research (Chalmers University of Technology) ·(unknown), Chun Chet Ng, Che-Tsung Lin, (unknown), (unknown), (unknown), Chee Seng Chan, Christopher Zach, Shang‐Hong Lai	1
10	Image collection and annotation platforms to establish a multi‐source database of oral lesions 2022 ·Oral Diseases ·Senthilmani Rajendran, Jian Han Lim, (unknown), Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Roshan A. Welikala, (unknown), Paolo Remagnino, John Gibson, Wanninayake Mudiyanselage Tilakaratne, Chee Sun Liew, Yi‐Hsin Yang, Sarah Barman, Chee Seng Chan, Sok Ching Cheong	7
11	An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks 2022 ·(unknown), (unknown), Chee Seng Chan	0
12	Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang	51
13	DeepIPR: Deep Neural Network Ownership Verification With Passports 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang	39
14	Total-Text: toward orientation robustness in scene text detection 2019 ·International Journal on Document Analysis and Recognition (IJDAR) ·(unknown), Chee Seng Chan, Cheng‐Lin Liu	73
15	Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks 2019 ·arXiv (Cornell University) ·Lixin Fan, Kam Woh Ng, Chee Seng Chan	37
16	LifeClef 2017 Plant Identification Challenge: Classifying Plants using Generic-Organ Correlation Features. 2017 ·CLEF (Working Notes) ·Sue Han Lee, (unknown), Chee Seng Chan	2
17	ArtGAN: Artwork Synthesis with Conditional Categorial GANs. 2017 ·arXiv (Cornell University) ·Wei Tan, Chee Seng Chan, Hernán Aguirre, Kiyoshi Tanaka	11
18	Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task. 2016 ·CLEF (Working Notes) ·Sue Han Lee, (unknown), Chee Seng Chan, Paolo Remagnino	24
19	Human pose recognition using Kinect and rule-based system 2012 ·World Automation Congress ·(unknown), (unknown), (unknown), (unknown), Chee Seng Chan	10
20	Logical Connectives and Operativeness of BK Sub-triangle Product in Fuzzy Inferencing 2011 ·International Journal of Fuzzy Systems ·(unknown), Chee Seng Chan	6

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.

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