Yining Dai

1.1k citations
49 papers · 782 · h-index 16

Impact in

Papers in

Yining Dai

46 papers receiving 761 citations

Peers

Yining Dai
Comparison fields: 5 of 91
  • Ophthalmology 307
  • Radiology, Nuclear Medicine and Imaging 196
  • Water Science and Technology 34
  • Endocrinology, Diabetes and Metabolism 33
  • Nephrology 14
Replace Dong Won Lee with:
Dong Won Lee South Korea
Hürkan Kurşaklıoğlu Türkiye
Khawar Gul United States
Ran Zhao China
Guangyi Huang China
Takuya Miyahara Japan
Wenjun Yin China
Ahmet Öz Türkiye
Khalid Al‐Rumaihi Qatar
Anant Mohan India
Yining Dai relative to Dong Won Lee South Korea Dong Won Lee's profile →
Citations per field
00.5×5.3×
Dong Won Lee · 1×
Citations per year

Countries citing papers authored by Yining Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yining Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 202087
3 201863
4 202063
5 201662
6 202138
7 202330
8 201529
9 202028
10 202025
11 201724
12
Extraction of facial images from complex background using color information and SGLD matrices
199523
13 201921
14 202021
15 202018
16 202017
17 201914
18 20249
19 20229
20 20178

About Yining Dai

Yining Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 782 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (9 papers), Retinal Imaging and Analysis (6 papers), Optical Coherence Tomography Applications (5 papers), Acute Myocardial Infarction Research (5 papers), Cardiac Imaging and Diagnostics (4 papers), Glaucoma and retinal disorders (4 papers), Healthcare cost, quality, practices (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Ophthalmology (307 citations), Radiology, Nuclear Medicine and Imaging (196 citations), Water Science and Technology (34 citations), Endocrinology, Diabetes and Metabolism (33 citations) and Nephrology (14 citations). Yining Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hao Zhou, Ruikang K. Wang, Zhongdi Chu, Qinqin Zhang, Giovanni Gregori, Philip J. Rosenfeld, Fangtian Dong, Yingying Shi, Zhikun Yang and Kasra A. Rezaei. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Biomedical Optics Express, Investigative Ophthalmology & Visual Science, European Journal of Preventive Cardiology 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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