Daoman Xiang

1.7k citations
26 papers · 272 · h-index 9

Impact in

Papers in

Daoman Xiang

24 papers receiving 243 citations

Peers

Daoman Xiang
Comparison fields: 5 of 75
  • Ophthalmology 78
  • Radiology, Nuclear Medicine and Imaging 119
  • Pediatrics, Perinatology and Child Health 36
  • Surgery 37
  • Computer Vision and Pattern Recognition 19
Replace Wilson W. K. Yip with:
Wilson W. K. Yip Hong Kong
Alessia Cerutti Italy
Hüseyin Gürsoy Türkiye
Jia Ying Lee Singapore
Iason S. Mantagos United States
P Shah United Kingdom
Martín Pfister Austria
Emily D. Cole United States
Geoffrey C. Lam Australia
Howard Cajucom-Uy Singapore
Daoman Xiang relative to Wilson W. K. Yip Hong Kong Wilson W. K. Yip's profile →
Citations per field
00.5×6.3×
Wilson W. K. Yip · 1×
Citations per year

Countries citing papers authored by Daoman Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Daoman Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daoman Xiang, 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 Daoman Xiang Line = papers co-authored together Daoman Xiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 202142
3 201620
4 201715
5 202114
6 202213
7 201613
8 202012
9 20208
10 20207
11 20167
12 20207
13 20176
14 20216
15 20225
16 20215
17 20194
18 20223
19 20233
20 20203

About Daoman Xiang

Daoman Xiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Pediatrics, Perinatology and Child Health, Molecular Biology and Neurology, having authored 26 papers that have together received 272 indexed citations. Recurring topics across this work include Retinopathy of Prematurity Studies (10 papers), Retinal Imaging and Analysis (6 papers), Intraocular Surgery and Lenses (5 papers), Neonatal and fetal brain pathology (5 papers), Retinal Diseases and Treatments (2 papers), Neonatal Health and Biochemistry (2 papers), Neonatal Respiratory Health Research (2 papers) and Ocular Infections and Treatments (1 paper). The work is most often cited by research in Ophthalmology (78 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Pediatrics, Perinatology and Child Health (36 citations), Surgery (37 citations) and Computer Vision and Pattern Recognition (19 citations). Daoman Xiang has collaborated with scholars based in China and Singapore. Frequent co-authors include Ying Yu, Tuo Deng, Bing Liu, Wen Liu, Jianxun Wang, Wensi Chen, Weifang Zhu, Xinjian Chen, Yuanyuan Peng and Meng Wang. Their work appears in journals such as Gene, Ophthalmology, Trials, Journal of Refractive Surgery and Frontiers in Medicine.

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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