Chang‐Ki Kang

99 total papers · 1.4k total citations
79 papers, 897 citations indexed

About

Chang‐Ki Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Chang‐Ki Kang has authored 79 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 19 papers in Cognitive Neuroscience. Recurrent topics in Chang‐Ki Kang's work include Advanced MRI Techniques and Applications (37 papers), Cerebrovascular and Carotid Artery Diseases (19 papers) and Functional Brain Connectivity Studies (15 papers). Chang‐Ki Kang is often cited by papers focused on Advanced MRI Techniques and Applications (37 papers), Cerebrovascular and Carotid Artery Diseases (19 papers) and Functional Brain Connectivity Studies (15 papers). Chang‐Ki Kang collaborates with scholars based in South Korea, United States and Germany. Chang‐Ki Kang's co-authors include Zang‐Hee Cho, Young-Bo Kim, Chan-A Park, Yeong‐Bae Lee, Sang‐Hoon Kim, Cheol-Wan Park, Young‐Bo Kim, Suk‐Min Hong, Young‐Don Son and Juyeon Jung and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Chang‐Ki Kang

70 papers receiving 875 citations

Author Peers

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

Author						Papers	Cites
Chang‐Ki Kang	422	284	158	157	121	79	897
Hak Young Rhee	230 0.5×	91 0.3×	142 0.9×	142 0.9×	72 0.6×	61	818
Shin‐Lei Peng	519 1.2×	127 0.4×	182 1.2×	103 0.7×	74 0.6×	67	1.0k
Nicole S. Coverdale	216 0.5×	158 0.6×	68 0.4×	289 1.8×	179 1.5×	40	766
Arkadiusz Szarmach	287 0.7×	77 0.3×	100 0.6×	126 0.8×	106 0.9×	44	805
Ulrich Lindberg	218 0.5×	76 0.3×	102 0.6×	91 0.6×	109 0.9×	61	798
François De Guio	137 0.3×	129 0.5×	98 0.6×	328 2.1×	96 0.8×	36	831
Renyuan Liu	287 0.7×	99 0.3×	248 1.6×	97 0.6×	63 0.5×	54	872
Hong Li	350 0.8×	155 0.5×	255 1.6×	138 0.9×	50 0.4×	49	960
J. L. Zubieta	221 0.5×	85 0.3×	128 0.8×	307 2.0×	90 0.7×	42	949
Lei Gao	260 0.6×	78 0.3×	476 3.0×	54 0.3×	75 0.6×	72	914

Countries citing papers authored by Chang‐Ki Kang

Since Specialization

Citations

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

Fields of papers citing papers by Chang‐Ki Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Ki Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Ki Kang. A scholar is included among the top collaborators of Chang‐Ki 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 Chang‐Ki Kang. Chang‐Ki Kang 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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