Edmond S. L. Ho

2.7k total citations
96 papers, 1.8k citations indexed

About

Edmond S. L. Ho is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Edmond S. L. Ho has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 46 papers in Control and Systems Engineering and 13 papers in Computational Mechanics. Recurrent topics in Edmond S. L. Ho's work include Human Pose and Action Recognition (46 papers), Human Motion and Animation (40 papers) and Video Analysis and Summarization (22 papers). Edmond S. L. Ho is often cited by papers focused on Human Pose and Action Recognition (46 papers), Human Motion and Animation (40 papers) and Video Analysis and Summarization (22 papers). Edmond S. L. Ho collaborates with scholars based in United Kingdom, Hong Kong and China. Edmond S. L. Ho's co-authors include Hubert P. H. Shum, Taku Komura, Chiew‐Lan Tai, Mohamed Hammad, Abdülhamit Subaşı, Abdullah M. Iliyasu, Ahmed A. Abd El‐Latif, Rynson W. H. Lau, Shing I. Chang and Nicholas D. Embleton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Edmond S. L. Ho

94 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmond S. L. Ho United Kingdom 22 947 639 238 197 175 96 1.8k
Hubert P. H. Shum United Kingdom 26 1.1k 1.2× 500 0.8× 317 1.3× 346 1.8× 128 0.7× 152 2.3k
Κωνσταντίνος Μουστάκας Greece 21 428 0.5× 93 0.1× 224 0.9× 193 1.0× 169 1.0× 189 1.6k
Ayoub Al-Hamadi Germany 29 1.5k 1.6× 186 0.3× 511 2.1× 411 2.1× 94 0.5× 226 3.3k
Ali Nahvi Iran 22 149 0.2× 425 0.7× 272 1.1× 56 0.3× 33 0.2× 68 1.3k
Odest Chadwicke Jenkins United States 28 1.1k 1.1× 1.2k 1.9× 336 1.4× 791 4.0× 37 0.2× 125 2.5k
Gregorij Kurillo United States 28 1.5k 1.5× 177 0.3× 797 3.3× 316 1.6× 52 0.3× 90 2.6k
Yeh‐Liang Hsu Taiwan 18 325 0.3× 102 0.2× 539 2.3× 140 0.7× 61 0.3× 65 1.8k
Yu Sun United States 23 323 0.3× 510 0.8× 352 1.5× 198 1.0× 19 0.1× 80 1.4k
Guanghua Xu China 28 215 0.2× 1.3k 2.0× 358 1.5× 195 1.0× 93 0.5× 193 3.2k
Kamal Nasrollahi Denmark 23 1.4k 1.5× 45 0.1× 317 1.3× 445 2.3× 44 0.3× 97 2.2k

Countries citing papers authored by Edmond S. L. Ho

Since Specialization
Citations

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

Fields of papers citing papers by Edmond S. L. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edmond S. L. Ho. 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 Edmond S. L. Ho. The network helps show where Edmond S. L. Ho may publish in the future.

Co-authorship network of co-authors of Edmond S. L. Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Edmond S. L. Ho. A scholar is included among the top collaborators of Edmond S. L. Ho 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 Edmond S. L. Ho. Edmond S. L. Ho 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.
Ho, Edmond S. L., et al.. (2024). Pose-based tremor type and level analysis for Parkinson’s disease from video. International Journal of Computer Assisted Radiology and Surgery. 19(5). 831–840. 1 indexed citations
2.
Ho, Edmond S. L., et al.. (2024). Geometric Features Enhanced Human–Object Interaction Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations
3.
Deng, Jingjing, et al.. (2024). Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey. Artificial Intelligence Review. 58(2). 3 indexed citations
4.
Shum, Hubert P. H., et al.. (2023). Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles. SHILAP Revista de lepidopterología. 6(3). 34 indexed citations
5.
Ho, Edmond S. L., et al.. (2022). CP-AGCN: Pytorch-based attention informed graph convolutional network for identifying infants at risk of cerebral palsy. Software Impacts. 14. 100419–100419. 4 indexed citations
6.
Ho, Edmond S. L., et al.. (2022). Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi‐Hot Class Embedding. Computer Graphics Forum. 41(8). 327–338. 4 indexed citations
7.
Thakur, Dipanwita, Suparna Biswas, Edmond S. L. Ho, & Samiran Chattopadhyay. (2022). ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition. IEEE Access. 10. 4137–4156. 56 indexed citations
8.
Hartley, John, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, & Subramanian Ramamoorthy. (2022). Formation control for UAVs using a Flux Guided approach. Expert Systems with Applications. 205. 117665–117665. 6 indexed citations
9.
Shum, Hubert P. H., et al.. (2022). Interaction-Aware Decision-Making for Automated Vehicles Using Social Value Orientation. IEEE Transactions on Intelligent Vehicles. 8(2). 1339–1349. 56 indexed citations
10.
Ho, Edmond S. L., et al.. (2022). A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction. Journal of Medical Systems. 46(11). 76–76. 3 indexed citations
11.
Hu, Pengpeng, Hubert P. H. Shum, Wai Lok Woo, et al.. (2021). A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 8–19. 32 indexed citations
12.
Hammad, Mohamed, Abdullah M. Iliyasu, Abdülhamit Subaşı, Edmond S. L. Ho, & Ahmed A. Abd El‐Latif. (2020). A Multitier Deep Learning Model for Arrhythmia Detection. IEEE Transactions on Instrumentation and Measurement. 70. 1–9. 179 indexed citations
13.
Bhattacharjee, Debotosh, et al.. (2020). LMZMPM: Local Modified Zernike Moment Per-Unit Mass for Robust Human Face Recognition. IEEE Transactions on Information Forensics and Security. 16. 495–509. 18 indexed citations
14.
Ho, Edmond S. L., et al.. (2020). Image editing-based data augmentation for illumination-insensitive background subtraction. Journal of Enterprise Information Management. 36(3). 818–838. 4 indexed citations
15.
Yang, Longzhi, et al.. (2019). Interaction-Based Human Activity Comparison. IEEE Transactions on Visualization and Computer Graphics. 26(8). 2620–2633. 16 indexed citations
16.
Ho, Edmond S. L., et al.. (2019). Illumination-Aware Multi-Task GANs for Foreground Segmentation. IEEE Access. 7. 10976–10986. 26 indexed citations
17.
Chan, Jacky C. P., et al.. (2019). A generic framework for editing and synthesizing multimodal data with relative emotion strength. Computer Animation and Virtual Worlds. 30(6). 3 indexed citations
18.
Yin, Kangxue, Hui Huang, Edmond S. L. Ho, et al.. (2018). A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations. IEEE Transactions on Visualization and Computer Graphics. 25(6). 2217–2227. 6 indexed citations
19.
Ho, Edmond S. L., Hubert P. H. Shum, He Wang, & Li Yi. (2017). Synthesizing Motion with Relative Emotion Strength. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
20.
Wu, Qing & Edmond S. L. Ho. (2003). Two-Level Image Segmentation Based on Region and Edge Integration. 957–966. 19 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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