Eunjung Ko

90 total papers · 797 total citations
53 papers, 603 citations indexed

About

Eunjung Ko is a scholar working on Computer Vision and Pattern Recognition, Oncology and Computer Networks and Communications. According to data from OpenAlex, Eunjung Ko has authored 53 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Oncology and 6 papers in Computer Networks and Communications. Recurrent topics in Eunjung Ko's work include Context-Aware Activity Recognition Systems (9 papers), Lymphatic System and Diseases (5 papers) and Asthma and respiratory diseases (5 papers). Eunjung Ko is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Lymphatic System and Diseases (5 papers) and Asthma and respiratory diseases (5 papers). Eunjung Ko collaborates with scholars based in South Korea, United States and China. Eunjung Ko's co-authors include Hyunsu Bae, Moochang Hong, Minkyu Shin, Byung-Il Min, Seong‐Gyu Ko, Jihyun Lee, Jinwoo Lee, Chongwoon Cho, Yangseok Kim and Mei R. Fu and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Hepatology and Journal of Ethnopharmacology.

In The Last Decade

Eunjung Ko

48 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Eunjung Ko	166	114	76	75	74	53	603
Hongli Yan	327 2.0×	50 0.4×	39 0.5×	47 0.6×	32 0.4×	33	691
Lisha Yu	162 1.0×	103 0.9×	18 0.2×	27 0.4×	88 1.2×	44	663
Ken Tanaka	147 0.9×	72 0.6×	61 0.8×	57 0.8×	19 0.3×	72	668
Boyang Wang	226 1.4×	97 0.9×	45 0.6×	41 0.5×	14 0.2×	44	650
Yuehua Xu	143 0.9×	26 0.2×	90 1.2×	25 0.3×	20 0.3×	29	684
Masahiro Mochizuki	313 1.9×	29 0.3×	49 0.6×	33 0.4×	30 0.4×	44	630
Shyamaladevi Babu	183 1.1×	53 0.5×	28 0.4×	34 0.5×	16 0.2×	30	573
Xinfeng Zhang	207 1.2×	117 1.0×	11 0.1×	24 0.3×	40 0.5×	59	607
Ya-Shu Chen	136 0.8×	101 0.9×	21 0.3×	49 0.7×	38 0.5×	51	637
Enoch Chan	252 1.5×	62 0.5×	66 0.9×	36 0.5×	10 0.1×	39	679

Countries citing papers authored by Eunjung Ko

Since Specialization

Citations

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

Fields of papers citing papers by Eunjung Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunjung Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Eunjung Ko. A scholar is included among the top collaborators of Eunjung Ko 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 Eunjung Ko. Eunjung Ko 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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