Di Xiao

1.4k citations
49 papers · 947 indexed · h-index 16

Di Xiao

48 papers receiving 919 citations

Peers

Di Xiao
Comparison fields: 5 of 107
  • Ophthalmology 495
  • General Dentistry 78
  • Health Informatics 46
  • Radiology, Nuclear Medicine and Imaging 691
  • Health Information Management 74
Replace Yuchen Xie with:
Yuchen Xie China
Louis R. Pasquale United States
Harshita Sharma United Kingdom
Rick H. H. M. Philipsen Netherlands
Silvia Alayón Spain
Jeroen Bertels Belgium
Gulistan Raja Pakistan
Liming Wang China
Vaishnavi Singh India
Julio César Mello-Román Paraguay
Di Xiao relative to Yuchen Xie China Yuchen Xie's profile →
Citations per field
00.5×11.1×
Yuchen Xie · 1×
Citations per year

Countries citing papers authored by Di Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Di Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di Xiao. 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 Di Xiao. The network helps show where Di Xiao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Di Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Di Xiao Line = papers co-authored together Di Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20206
4 202028
5 2019156
6
Fully Automated Identification of Retinal Artery and Vein Graph Structure using a Novel Tree Growing Method
20181
7 201824
8 201864
9 201810
10
Graph Theory Based Intelligent Retinal Vessel Analysis
20171
11
Web-based Smart Retinal Vessel Analysis System (VASP)
20171
12
Deep Learning Based Decision Support System for Automated Diagnosis of Age-related Macular Degeneration (AMD)
20176
13
A Mobile Phone Message Reminder to Improve Adherence of Diabetic Patients for Scheduled Eye Care in Rural China: A Randomized Clinical Trial
20171
14 20174
15 20176
16
Deep Learning for Automatic Detection and Classification of Microaneurysms, Hard and Soft Exudates, and Hemorrhages for Diabetic Retinopathy Diagnosis
20168
17 201627
18 20153
19 201113
20 200117

About Di Xiao

Di Xiao is a scholar working on Computational Mathematics, Ophthalmology and General Dentistry, having authored 49 papers that have together received 947 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (31 papers), Retinal Diseases and Treatments (18 papers), Glaucoma and retinal disorders (14 papers), Medical Image Segmentation Techniques (8 papers), Image and Signal Denoising Methods (5 papers), Retinal and Optic Conditions (5 papers), Digital Imaging for Blood Diseases (4 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Ophthalmology (495 citations), General Dentistry (78 citations) and Health Informatics (46 citations). Di Xiao has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Yogesan Kanagasingam, Shuang Yu, Shaun Frost, Janardhan Vignarajan, Sajib Saha, Mei‐Ling Tay‐Kearney, Ateev Mehrotra, Basura Fernando, Marc Tennant and Mohamed Estai. Their work appears in journals such as Scientific Reports, Journal of Physics D Applied Physics and American Journal of Ophthalmology.

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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