Daejin Kim

59 total papers · 965 total citations
40 papers, 737 citations indexed

About

Daejin Kim is a scholar working on Computer Networks and Communications, Molecular Biology and Information Systems. According to data from OpenAlex, Daejin Kim has authored 40 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 9 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Daejin Kim's work include IoT and Edge/Fog Computing (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Interference and Gene Delivery (4 papers). Daejin Kim is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Interference and Gene Delivery (4 papers). Daejin Kim collaborates with scholars based in South Korea, United States and Singapore. Daejin Kim's co-authors include Sangyong Jon, In‐Hyun Lee, Sunghyun Kim, Zeungnam Bien, Sukyung Ahn, Dusit Niyato, Joohyung Lee, Minsuk Choi, Mi Kyung Yu and Ho‐Keun Kwon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Biomaterials.

In The Last Decade

Daejin Kim

35 papers receiving 715 citations

Author Peers

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

Author						Papers	Cites
Daejin Kim	235	207	190	88	84	40	737
Heming Xia	163 0.7×	290 1.4×	134 0.7×	144 1.6×	129 1.5×	27	647
Qian Wan	167 0.7×	278 1.3×	63 0.3×	113 1.3×	185 2.2×	33	717
Xin Dong	333 1.4×	48 0.2×	203 1.1×	87 1.0×	80 1.0×	57	734
Lizhuo Zhang	282 1.2×	211 1.0×	177 0.9×	43 0.5×	20 0.2×	37	676
Nathan Liu	98 0.4×	108 0.5×	84 0.4×	47 0.5×	218 2.6×	26	892
Weiyuan Li	157 0.7×	106 0.5×	46 0.2×	82 0.9×	135 1.6×	49	810
Meng Zhang	120 0.5×	145 0.7×	28 0.1×	82 0.9×	80 1.0×	75	642
Nosayba Al‐Azzam	97 0.4×	112 0.5×	66 0.3×	36 0.4×	80 1.0×	22	810
Pei‐Hsuan Lin	266 1.1×	74 0.4×	65 0.3×	16 0.2×	34 0.4×	83	893
Mohammad Ebrahimi	347 1.5×	65 0.3×	32 0.2×	82 0.9×	59 0.7×	26	644

Countries citing papers authored by Daejin Kim

Since Specialization

Citations

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

Fields of papers citing papers by Daejin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daejin Kim

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