Kang Dang

54 total papers · 570 total citations
21 papers, 137 citations indexed

About

Kang Dang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kang Dang has authored 21 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kang Dang's work include Retinal Imaging and Analysis (4 papers), Retinal and Optic Conditions (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kang Dang is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Retinal and Optic Conditions (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kang Dang collaborates with scholars based in China, Singapore and Hong Kong. Kang Dang's co-authors include Michael Hoy, Justin Dauwels, Junsong Yuan, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding, Zhigang Tu, Hang Yu, Qinghui Li and Yaozhong Li and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Process Biochemistry.

In The Last Decade

Kang Dang

18 papers receiving 131 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kang Dang 58 36 31 24 24 21 137
Sufian A. Badawi 26 0.4× 58 1.6× 21 0.7× 7 0.3× 15 0.6× 14 168
B P Pradeep Kumar 49 0.8× 30 0.8× 1 0.0× 10 0.4× 24 1.0× 35 212
Runwei Guan 55 0.9× 6 0.2× 24 0.8× 5 0.2× 25 1.0× 24 185
Dong Wang 120 2.1× 13 0.4× 5 0.2× 7 0.3× 45 1.9× 23 228
Samsuddin Ahmed 44 0.8× 20 0.6× 4 0.1× 33 1.4× 79 3.3× 20 241
Weiming Cai 27 0.5× 26 0.7× 4 0.1× 16 0.7× 6 0.3× 18 226
Xiao Ma 68 1.2× 92 2.6× 3 0.1× 2 0.1× 48 2.0× 31 234
Leo Ramos 89 1.5× 7 0.2× 4 0.1× 50 2.1× 27 1.1× 31 242
Aymen Dawood Salman 32 0.6× 9 0.3× 5 0.2× 3 0.1× 16 0.7× 18 131
Yuping Wu 20 0.3× 7 0.2× 10 0.3× 5 0.2× 47 2.0× 20 156

Countries citing papers authored by Kang Dang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Dang. A scholar is included among the top collaborators of Kang Dang 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 Kang Dang. Kang Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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