Hong Kang
- Radiology, Nuclear Medicine and Imaging top 2%
- Ophthalmology top 1%
- Computer Vision and Pattern Recognition top 2%
- Health Information Management top 0.5%
- Artificial Intelligence top 10%
- Co-authors
- Kai WangTao LiSong GuoHanruo LiuYingqi GaoYang GongHuazhu FuBo Wang
- Topics
- Electronic Health Records Systems (14 papers)Patient Safety and Medication Errors (12 papers)Retinal Imaging and Analysis (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingInformation Sciences
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Hong Kang
40 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Radiology, Nuclear Medicine and Imaging 859
- Ophthalmology 583
- Computer Vision and Pattern Recognition 452
- Health Information Management 192
- Artificial Intelligence 125
Countries citing papers authored by Hong Kang
This map shows the geographic impact of Hong Kang'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 Hong Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Kang more than expected).
Fields of papers citing papers by Hong Kang
This network shows the impact of papers produced by Hong Kang. 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 Hong Kang. The network helps show where Hong Kang may publish in the future.
Co-authorship network of co-authors of Hong Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Kang. A scholar is included among the top collaborators of Hong Kang 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 Hong Kang. Hong Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | Applications of deep learning in fundus images: A reviewbreakdown → | 227 |
| 4 | 9 | |
| 5 | 24 | |
| 6 | Diagnostic assessment of deep learning algorithms for diabetic retinopathy screeningbreakdown → | 355 |
| 7 | 98 | |
| 8 | 34 | |
| 9 | Creating a Database for Health IT Event Reports by Using a Hybrid Deep Learning Model. | 1 |
| 10 | 130 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | 23 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 35 | |
| 20 | 5 |
About Hong Kang
Hong Kang is a scholar working on Health Information Management, Medical Laboratory Technology and Emergency Medical Services, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (14 papers), Patient Safety and Medication Errors (12 papers) and Retinal Imaging and Analysis (11 papers). The work is most often cited by research in Ophthalmology (583 citations), Health Information Management (192 citations) and Radiology, Nuclear Medicine and Imaging (859 citations). Hong Kang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kai Wang, Tao Li, Song Guo, Hanruo Liu, Yingqi Gao, Yang Gong, Huazhu Fu, Bo Wang, Yujun Zhang and Chunyu Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Information Sciences.
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.