2026 Dong Yi: 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	46	6717	6523	901	895	148	11990

Overview

Dong Yi is affiliated with Winsense Co., Ltd. in China. Their research spans primarily the fields of Computer Science and Medicine, with publication contributions totaling 44 and 34 respectively.

Their work covers a variety of subfields including:

Computer Vision and Pattern Recognition
Signal Processing
Cancer Research
Hepatology
Molecular Biology

Dong Yi has explored several main topics in their research, notably:

Advanced Steganography and Watermarking Techniques
Video Coding and Compression Technologies
Digital Media Forensic Detection
Cancer-related molecular mechanisms research
Hepatocellular Carcinoma Treatment and Prognosis
Liver Disease Diagnosis and Treatment
Circular RNAs in diseases

Recent representative papers include:

"Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study," 2020, IEEE Transactions on Image Processing
"Inferring LncRNA-disease associations based on graph autoencoder matrix completion," 2020, Computational Biology and Chemistry
"Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph," 2023, IEEE Transactions on Neural Networks and Learning Systems
"IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling," 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics
"Alberta Stroke Program Early Computed Tomography Score, Infarct Core Volume, and Endovascular Therapy Outcomes in Patients With Large Infarct," 2023, JAMA Neurology

Frequent co-authors in Dong Yi's research collaborations include:

Xinghao Jiang
Tanfeng Sun
Kathleen Möller
Christoph F. Dietrich
Christian Jenssen

The scientist's publications are often found in these venues with multiple contributions:

arXiv (Cornell University)
IEEE Transactions on Dependable and Secure Computing
Medical Ultrasonography
International Journal of Digital Crime and Forensics
Endoscopic Ultrasound

Best Publications

Learning Face Representation from Scratch

Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

2236
Citations
Deep Metric Learning for Person Re-identification

Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

1239
Citations
A face antispoofing database with diverse attacks

Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei

924
Citations
High-fidelity Pose and Expression Normalization for face recognition in the wild

Xiangyu Zhu;Zhen Lei;Junjie Yan;Dong Yi

653
Citations
Salient Color Names for Person Re-identification

Yang Yang;Jimei Yang;Junjie Yan;Shengcai Liao

579
Citations
When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition

Guosheng Hu;Yongxin Yang;Dong Yi;Josef Kittler

379
Citations
The CASIA NIR-VIS 2.0 Face Database

Stan Z. Li;Dong Yi;Zhen Lei;Shengcai Liao

356
Citations
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

278
Citations
Towards Pose Robust Face Recognition

Dong Yi;Zhen Lei;Stan Z. Li

261
Citations
Age Estimation by Multi-scale Convolutional Network

Dong Yi;Zhen Lei;Stan Z. Li

256
Citations
Face liveness detection by learning multispectral reflectance distributions

Zhiwei Zhang;Dong Yi;Zhen Lei;Stan Z. Li

239
Citations
Competition on counter measures to 2-D facial spoofing attacks

Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci

226
Citations
Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph

Longyin Wen;Wenbo Li;Junjie Yan;Zhen Lei

203
Citations
Face matching between near infrared and visible light images

Dong Yi;Rong Liu;RuFeng Chu;Zhen Lei

194
Citations
Learn to Combine Multiple Hypotheses for Accurate Face Alignment

Junjie Yan;Zhen Lei;Dong Yi;Stan Z. Li

171
Citations
Learning mappings for face synthesis from near infrared to visual light images

Jie Chen;Dong Yi;Jimei Yang;Guoying Zhao

170
Citations
Deep Metric Learning for Practical Person Re-Identification

Dong Yi;Zhen Lei;Stan Z. Li

167
Citations
A benchmark study of large-scale unconstrained face recognition

Shengcai Liao;Zhen Lei;Dong Yi;Stan Z. Li

164
Citations
Heterogeneous Face Recognition from Local Structures of Normalized Appearance

Shengcai Liao;Dong Yi;Zhen Lei;Rui Qin

161
Citations
Multi-label CNN based pedestrian attribute learning for soft biometrics

Jianqing Zhu;Shengcai Liao;Dong Yi;Zhen Lei

155
Citations

Frequent Co-Authors

Stan Z. Li Westlake University

Zhen Lei Chinese Academy of Sciences

Shengcai Liao United Arab Emirates University

Junjie Yan SenseTime

Longyin Wen ByteDance

Jimei Yang Adobe Systems (United States)

Matti Pietikäinen University of Oulu

Timothy M. Hospedales University of Edinburgh

Josef Kittler University of Surrey

Yongxin Yang Queen Mary University of London

External Links

Personal website of Dong Yi Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Computer Science graduates have a wide range of related online degree options to further boost their expertise or branch into interdisciplinary careers. Specializations like data science are especially popular, with many choosing a data master online to gain in-demand analytics skills that open doors to roles in tech, finance, and research.

Another pathway offers leadership opportunities in technical fields. For example, transition into project and site management with an online bachelor's in construction management, which combines tech know-how with hands-on management skills.

Computer Science professionals interested in business leadership often pursue mba online programs to blend technical and business expertise—essential for entrepreneurial or C-suite career tracks.

For those seeking flexibility or a fast route to a new qualification, online one year masters programs are increasingly available in many tech-related fields. These programs allow students to quickly upskill without sidelining their careers.

With these diverse, accessible online degree options, Computer Science students can carve unique career paths tailored to their professional interests and goals.