2026 Moi Hoon Yap: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11132	10816	706	697	178	6577

Overview

Moi Hoon Yap is affiliated with Manchester Metropolitan University in the United Kingdom. Their research spans multiple disciplines, primarily focusing on medicine and computer science, with significant contributions in the areas of computer vision and pattern recognition, endocrinology, diabetes and metabolism, rehabilitation, artificial intelligence, and radiology, nuclear medicine, and imaging.

The scientist's main topics of work include:

Diabetic Foot Ulcer Assessment and Management
Wound Healing and Treatments
AI in cancer detection
Pressure Ulcer Prevention and Management
Radiomics and Machine Learning in Medical Imaging
Generative Adversarial Networks and Image Synthesis
Cutaneous Melanoma Detection and Management

Moi Hoon Yap has coauthored extensively with several researchers, including:

Bill Cassidy
Connah Kendrick
Neil D. Reeves
Joseph M Pappachan
Claire O'Shea

Their frequent publication venues highlight a focus on both peer-reviewed journals and conference proceedings. Key venues include:

arXiv (Cornell University)
Computers in Biology and Medicine
Proceedings of the 30th ACM International Conference on Multimedia
JOIV International Journal on Informatics Visualization
Zenodo (CERN European Organization for Nuclear Research)

Some recent papers published by Moi Hoon Yap are:

"AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images," 2022, IEEE Transactions on Medical Imaging
"Analysis of the ISIC image datasets: Usage, benchmarks and recommendations," 2021, Medical Image Analysis
"Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques," 2020, Computers in Biology and Medicine
"Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation," 2020, arXiv (Cornell University)
"A comprehensive review of past and present image inpainting methods," 2020, Computer Vision and Image Understanding

Moi Hoon Yap has also contributed to book publications under Springer Science+Business Media, including two editions of the "Diabetic Foot Ulcers Grand Challenge" published in 2022 and 2023.

Best Publications

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

Moi Hoon Yap;Gerard Pons;Joan Marti;Sergi Ganau

945
Citations
SAMM: A Spontaneous Micro-Facial Movement Dataset

Adrian K. Davison;Cliff Lansley;Nicholas Costen;Kevin Tan

646
Citations
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods

Manu Goyal;Amanda Oakley;Priyanka Bansal;Darren Dancey

291
Citations
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations.

Bill Cassidy;Connah Kendrick;Andrzej Brodzicki;Joanna Jaworek-Korjakowska

235
Citations
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification

Manu Goyal;Neil D. Reeves;Adrian K. Davison;Satyan Rajbhandari

217
Citations
Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques.

Manu Goyal;Neil D. Reeves;Satyan Rajbhandari;Naseer Ahmad

209
Citations
Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices

Manu Goyal;Neil D. Reeves;Satyan Rajbhandari;Moi Hoon Yap

203
Citations
Automatic mass detection in mammograms using deep convolutional neural networks

Richa Agarwal;Oliver Diaz;Xavier Lladó;Moi Hoon Yap

186
Citations
MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge

John See;Moi Hoon Yap;Jingting Li;Xiaopeng Hong

160
Citations
Fully convolutional networks for diabetic foot ulcer segmentation

Manu Goyal;Moi Hoon Yap;Neil D. Reeves;Satyan Rajbhandari

152
Citations
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

Moi Hoon Yap;Ryo Hachiuma;Azadeh Alavi;Raphael Brüngel

147
Citations
A comprehensive review of past and present image inpainting methods

Jireh Jam;Connah Kendrick;Kevin Walker;Vincent Drouard

139
Citations
Breast ultrasound region of interest detection and lesion localisation.

Moi Hoon Yap;Manu Goyal;Fatima Osman;Robert Marti

135
Citations
Deep learning for mass detection in Full Field Digital Mammograms.

Richa Agarwal;Oliver Díaz;Oliver Díaz;Moi Hoon Yap;Xavier Lladó

118
Citations
A novel algorithm for initial lesion detection in ultrasound breast images.

Moi Hoon Yap;Eran A. Edirisinghe;Helmut E. Bez

115
Citations
Objective Classes for Micro-Facial Expression Recognition

Adrian K. Davison;Walied Merghani;Moi Hoon Yap

114
Citations
Breast ultrasound lesions recognition:: end-to-end deep learning approaches

Moi Hoon Yap;Manu Goyal;Fatima M Osman;Robert Martí

104
Citations
The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection

Bill Cassidy;Neil D. Reeves;Joseph M. Pappachan;Joseph M. Pappachan;Joseph M. Pappachan;David Gillespie

94
Citations
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset

Chuin Hong Yap;Connah Kendrick;Moi Hoon Yap

78
Citations
A New Mobile Application for Standardizing Diabetic Foot Images

Moi Hoon Yap;Katie E Chatwin;Choon-Ching Ng;Caroline A Abbott

75
Citations
Automatic Wrinkle Detection Using Hybrid Hessian Filter

Choon-Ching Ng;Moi Hoon Yap;Nicholas Costen;Baihua Li

69
Citations
Facial Micro-Expressions Grand Challenge 2018 Summary

Moi Hoon Yap;John See;Xiaopeng Hong;Su-Jing Wang

62
Citations
Spotting Macro-and Micro-expression Intervals in Long Video Sequences

Ying He;Su-Jing Wang;Jingting Li;Moi Hoon Yap

61
Citations
Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation

Adrian Davison;Walied Merghani;Cliff Lansley;Choon-Ching Ng

58
Citations

Frequent Co-Authors

Eibe Frank University of Waikato

Subhas Chandra Mukhopadhyay Macquarie University

John See Heriot-Watt University Malaysia

David B. Ascher University of Queensland

Xavier Lladó University of Girona

External Links

Personal website of Moi Hoon Yap

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