Hongyu Kong

759 citations
18 papers · 462 indexed · 1 hit paper · h-index 8
Topics
Retinal Diseases and Treatments (7 papers)Retinal Imaging and Analysis (7 papers)Cancer, Hypoxia, and Metabolism (3 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Hongyu Kong

17 papers receiving 445 citations

Hit Papers

A deep learning system for detecting diabetic retinopathy...20212026202220242021100200300

Peers

Hongyu Kong
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 249
  • Ophthalmology 170
  • Computer Vision and Pattern Recognition 105
  • Health Information Management 73
  • Artificial Intelligence 52
Replace Fan Zhu with:
Fan Zhu China
Peyman Hosseinzadeh Kassani United States
Bojie Hu China
Sebastian Otálora Switzerland
Qianzhong Cao China
Hongyang Jiang China
Yangqin Feng Singapore
Kejuan Yue China
Gür Emre Güraksın Türkiye
Hongyu Kong relative to Fan Zhu China Fan Zhu's profile →
Citations per field
00.5×
Fan Zhu · 1×
Citations per year

Countries citing papers authored by Hongyu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Hongyu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyu Kong. A scholar is included among the top collaborators of Hongyu Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongyu Kong. Hongyu Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 3
3 1
4 11
5 1
6 0
7 1
8
A deep learning system for detecting diabetic retinopathy across the disease spectrumbreakdown →
319
9 5
10 1
11 17
12 23
13 16
14
Prognostic significance of interleukin-17 in solid tumors: a meta-analysis.
20
15 7
16
Monocyte chemotactic protein-1 expression as a prognosic biomarker in patients with solid tumor: a meta analysis.
22
17 5
18
[Effect of Astragalan on secretion of tumor necrosis factors in human peripheral blood mononuclear cells].
8

About Hongyu Kong

Hongyu Kong is a scholar working on Ophthalmology, Health Informatics and General Materials Science, having authored 18 papers that have together received 462 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (7 papers), Retinal Imaging and Analysis (7 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Ophthalmology (170 citations), Health Information Management (73 citations) and Health Informatics (16 citations). Hongyu Kong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qiang Wu, Ling Dai, Xiangning Wang, Bin Sheng, Chun Cai, Liang Wu, Weiping Jia, Lina Lu, Dinggang Shen and Xiaokang Yang. Their work appears in journals such as Nature Communications, Frontiers in Immunology and Surface and Coatings Technology.

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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