Eng-Jon Ong

1.3k total citations
41 papers, 684 citations indexed

About

Eng-Jon Ong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Eng-Jon Ong has authored 41 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Eng-Jon Ong's work include Face recognition and analysis (10 papers), Speech and Audio Processing (9 papers) and Human Pose and Action Recognition (9 papers). Eng-Jon Ong is often cited by papers focused on Face recognition and analysis (10 papers), Speech and Audio Processing (9 papers) and Human Pose and Action Recognition (9 papers). Eng-Jon Ong collaborates with scholars based in United Kingdom, Australia and Hong Kong. Eng-Jon Ong's co-authors include Richard Bowden, Stephen Richmond, Alexei I. Zhurov, Rebecca Playle, A. M. Toma, Richard Harvey, Nicolas Pugeault, Helen Cooper, Yuxuan Lan and Mirosław Bober and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Eng-Jon Ong

36 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eng-Jon Ong United Kingdom 17 396 192 175 95 87 41 684
Epameinondas Antonakos United Kingdom 11 1.0k 2.6× 97 0.5× 322 1.8× 17 0.2× 30 0.3× 20 1.2k
D. Cristinacce United Kingdom 8 988 2.5× 137 0.7× 295 1.7× 5 0.1× 36 0.4× 10 1.1k
Timo Bolkart Germany 12 1.4k 3.5× 108 0.6× 134 0.8× 10 0.1× 46 0.5× 30 1.6k
Neslihan Köse France 13 504 1.3× 206 1.1× 252 1.4× 47 0.5× 91 1.0× 18 720
Ali Erol United States 10 517 1.3× 610 3.2× 140 0.8× 40 0.4× 96 1.1× 23 868
Evangelos Ververas United Kingdom 8 826 2.1× 65 0.3× 230 1.3× 15 0.2× 33 0.4× 10 1.0k
José Mario De Martino Brazil 7 374 0.9× 30 0.2× 370 2.1× 25 0.3× 16 0.2× 31 495
Akshay Asthana Australia 13 1.2k 2.9× 88 0.5× 341 1.9× 2 0.0× 88 1.0× 27 1.4k
H. Junker Switzerland 7 205 0.5× 197 1.0× 34 0.2× 65 0.7× 112 1.3× 11 419

Countries citing papers authored by Eng-Jon Ong

Since Specialization
Citations

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

Fields of papers citing papers by Eng-Jon Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eng-Jon Ong. 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 Eng-Jon Ong. The network helps show where Eng-Jon Ong may publish in the future.

Co-authorship network of co-authors of Eng-Jon Ong

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

All Works

20 of 20 papers shown
1.
Ong, Eng-Jon, Ting Xia, Jacqueline A. Richmond, et al.. (2025). Australian Community Pharmacists' Preparedness to Offer and Discuss Hepatitis C Testing and Treatment With Pharmacy Clients: A Representative Cross‐Sectional Survey. Journal of Viral Hepatitis. 32(2). e70001–e70001.
2.
Chu, Samuel Kai Wah, et al.. (2024). Comparative Study of GenAI (ChatGPT) vs. Human in Generating Multiple Choice Questions Based on the PIRLS Reading Assessment Framework. Proceedings of the Association for Information Science and Technology. 61(1). 537–540.
3.
Husain, Syed Sameed, et al.. (2023). Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures. Communications Biology. 6(1). 489–489. 5 indexed citations
4.
Ong, Eng-Jon, Syed Sameed Husain, & Mirosław Bober. (2022). Understanding the Distributions of Aggregation Layers in Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5536–5550. 1 indexed citations
5.
Husain, Syed Sameed, Eng-Jon Ong, & Mirosław Bober. (2019). ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval. arXiv (Cornell University). 1 indexed citations
6.
Ong, Eng-Jon, Syed Sameed Husain, Mikel Bober-Irizar, & Mirosław Bober. (2018). Deep Architectures and Ensembles for Semantic Video Classification. IEEE Transactions on Circuits and Systems for Video Technology. 29(12). 3568–3582. 16 indexed citations
7.
Bowden, Richard, Stephen Cox, Richard Harvey, et al.. (2013). Recent developments in automated lip-reading. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8901. 89010J–89010J. 19 indexed citations
8.
Cosker, Darren, et al.. (2012). Applications of Face Analysis and Modeling in Media Production. IEEE Multimedia. 20(4). 18–27. 4 indexed citations
9.
Ong, Eng-Jon, et al.. (2011). Visualisation and prediction of conversation interest through mined social signals. View. 951–956. 1 indexed citations
10.
Ong, Eng-Jon, et al.. (2011). Cultural factors in the regression of non-verbal communication perception. 1242–1249. 10 indexed citations
11.
Cooper, Helen, Eng-Jon Ong, & Richard Bowden. (2011). Give Me a Sign : A Person Independent Interactive Sign Dictionary. Surrey Research Insight Open Access (The University of Surrey).
12.
Harvey, Richard, et al.. (2010). Improving visual features for lip-reading. UEA Digital Repository (University of East Anglia). 42 indexed citations
13.
Ong, Eng-Jon & Richard Bowden. (2010). Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(9). 1844–1859. 24 indexed citations
14.
Lan, Yuxuan, Richard Harvey, Barry-John Theobald, Eng-Jon Ong, & Richard Bowden. (2009). Comparing Visual Features for Lipreading. UEA Digital Repository (University of East Anglia). 102–106. 35 indexed citations
15.
Toma, A. M., Alexei I. Zhurov, Rebecca Playle, Eng-Jon Ong, & Stephen Richmond. (2009). Reproducibility of facial soft tissue landmarks on 3D laser‐scanned facial images. Orthodontics and Craniofacial Research. 12(1). 33–42. 146 indexed citations
16.
Ong, Eng-Jon, et al.. (2009). Feature selection of facial displays for detection of non verbal communication in natural conversation. View. 1985–1992. 8 indexed citations
17.
Ong, Eng-Jon, et al.. (2009). Problem solving through imitation. Image and Vision Computing. 27(11). 1715–1728. 1 indexed citations
18.
Ong, Eng-Jon, et al.. (2009). Robust facial feature tracking using selected multi-resolution linear predictors. 1483–1490. 25 indexed citations
19.
Ong, Eng-Jon, et al.. (2006). Viewpoint invariant exemplar-based 3D human tracking. Computer Vision and Image Understanding. 104(2-3). 178–189. 29 indexed citations
20.
Gong, Shaogang, Eng-Jon Ong, & S.J. McKenna. (1998). Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes. Discovery Research Portal (University of Dundee). 6.1–6.10. 24 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.

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