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.
Privacy preserving crowd monitoring: Counting people without people models or tracking
2008800 citationsAntoni B. Chan, Nuno Vasconcelos et al.profile →
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
2007596 citationsAntoni B. Chan, Nuno Vasconcelos et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Antoni B. Chan
Since
Specialization
Citations
This map shows the geographic impact of Antoni B. 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 Antoni B. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoni B. Chan more than expected).
This network shows the impact of papers produced by Antoni B. 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 Antoni B. Chan. The network helps show where Antoni B. Chan may publish in the future.
Co-authorship network of co-authors of Antoni B. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Antoni B. Chan.
A scholar is included among the top collaborators of Antoni B. 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 Antoni B. Chan. Antoni B. Chan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chan, Antoni B., et al.. (2021). Hierarchical Learning of Hidden Markov Models with Clustering Regularization. Uncertainty in Artificial Intelligence.1 indexed citations
6.
Hsiao, Janet H., et al.. (2020). The role of eye movement consistency in learning to recognise faces: Computational and experimental examinations.. Cognitive Science.4 indexed citations
7.
Wan, Jia & Antoni B. Chan. (2020). Modeling Noisy Annotations for Crowd Counting.. Neural Information Processing Systems. 33. 3386–3396.36 indexed citations
8.
Hsiao, Janet H., et al.. (2019). Understanding Individual Differences in Eye Movement Pattern During Scene Perception through Co-Clustering of Hidden Markov Models. Cognitive Science. 3283.2 indexed citations
9.
Kang, Di & Antoni B. Chan. (2018). Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid. British Machine Vision Conference. 89.19 indexed citations
10.
Hayward, William G., et al.. (2018). Optimal face recognition performance involves a balance between global and local information processing: Evidence from cultural difference.. Cognitive Science.2 indexed citations
Zhang, Jinxiao, Antoni B. Chan, Esther Yuet Ying Lau, & Janet H. Hsiao. (2017). Insomniacs misidentify angry faces as fearful faces because of missing the eyes: An eye-tracking study. Cognitive Science. 1430–1435.2 indexed citations
13.
Chan, Antoni B., et al.. (2016). Hidden Markov modeling of eye movements with image information leads to better discovery of regions of interest. Cognitive Science.3 indexed citations
14.
Chan, Antoni B., et al.. (2016). Mind reading: Discovering individual preferences from eye movements using switching hidden Markov models.. Cognitive Science.8 indexed citations
15.
Chan, Antoni B., et al.. (2015). Eye movement pattern in face recognition is associated with cognitive decline in the elderly. Cognitive Science.2 indexed citations
Coviello, Emanuele, et al.. (2013). That was fast! Speeding up NN search of high dimensional distributions.. International Conference on Machine Learning. 468–476.2 indexed citations
18.
Coviello, Emanuele, et al.. (2013). Understanding eye movements in face recognition with hidden Markov model. Cognitive Science. 35(35).2 indexed citations
19.
Chan, Antoni B., et al.. (2010). Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network. International MultiConference of Engineers and Computer Scientists. 546–550.71 indexed citations
20.
Chan, Antoni B. & Nuno Vasconcelos. (2005). Layered Dynamic Textures. Neural Information Processing Systems. 18. 203–210.15 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.