Dongjun Kim

574 total citations
29 papers, 352 citations indexed

About

Dongjun Kim is a scholar working on Ecology, Molecular Biology and Immunology. According to data from OpenAlex, Dongjun Kim has authored 29 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Dongjun Kim's work include Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). Dongjun Kim is often cited by papers focused on Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). Dongjun Kim collaborates with scholars based in South Korea, Japan and United States. Dongjun Kim's co-authors include Yongtaek Lim, Jin Young Park, Jae‐Jin Kim, Kyeong-Seop Kim, Jong Seong Khim, Jeong‐Whan Lee, Tae‐Ho Yoon, Hanseok Ko, Jae-Heun Oh and Sujala Bhattarai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Dongjun Kim

28 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dongjun Kim South Korea	11	73	46	39	38	34	29	352
Mei Liu China	13	28 0.4×	39 0.8×	96 2.5×	2 0.1×	8 0.2×	32	497
Kehan Li China	13	22 0.3×	3 0.1×	85 2.2×	3 0.1×	31 0.9×	50	464
Zhehan Zhang China	13	25 0.3×	8 0.2×	23 0.6×	4 0.1×	1 0.0×	30	448
Baiping Chen China	6	10 0.1×	4 0.1×	32 0.8×	8 0.2×	8 0.2×	12	264
Javier Morales Netherlands	8	25 0.3×	13 0.3×	7 0.2×	5 0.1×	2 0.1×	29	334
Yuexia Wang China	10	5 0.1×	8 0.2×	30 0.8×	7 0.2×	13 0.4×	32	312
Dušan Marković Serbia	12	7 0.1×	16 0.3×	12 0.3×	5 0.1×	6 0.2×	43	406
Shafaf Ibrahim Malaysia	12	4 0.1×	9 0.2×	20 0.5×	11 0.3×	2 0.1×	65	402
Ljiljana Šerić Croatia	10	5 0.1×	11 0.2×	5 0.1×	12 0.3×	8 0.2×	40	357
Jingheng Wang China	10	15 0.2×	4 0.1×	63 1.6×	15 0.4×	4 0.1×	39	320

Countries citing papers authored by Dongjun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dongjun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjun Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Seo, Dongwon, et al.. (2025). Capacitive Structure‐Based Acoustic Triboelectric Nanogenerator for Advanced Warning Sound Recognition. Advanced Engineering Materials. 27(5). 2 indexed citations

Kim, Dongjun, Seong-Eun Park, Jhang Ho Pak, et al.. (2024). Effects of total microbiota-containing backslop from 450-day-fermented kimchi on microbe and metabolite dynamics. Food Chemistry. 468. 142420–142420. 4 indexed citations

Zheng, Zhuo, Stefano Ermon, Dongjun Kim, Liangpei Zhang, & Yanfei Zhong. (2024). Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 725–741. 22 indexed citations

Park, Sungwoo, et al.. (2023). Zero-Shot Photovoltaic Power Forecasting Scheme Based on a Deep Learning Model and Correlation Coefficient. International Journal of Energy Research. 2023. 1–14. 6 indexed citations

Kim, Dongjun, et al.. (2023). Graph Construction Method for GNN-Based Multivariate Time-Series Forecasting. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5817–5836. 4 indexed citations

Kim, Dongjun, Hanbyul Lee, Jong Seong Khim, et al.. (2021). Novosphingobium aureum sp. nov., a marine bacterium isolated from salt flat sediment. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(7). 7 indexed citations

Kim, Dongjun, et al.. (2021). Methods for Utilising Local Government’s Public Data Released to The Public Data Portal. Journal of Digital Contents Society. 22(3). 445–452. 4 indexed citations

Lee, Hanbyul, Young Mok Heo, Dongjun Kim, et al.. (2020). Environmental drivers affecting the bacterial community of intertidal sediments in the Yellow Sea. The Science of The Total Environment. 755(Pt 2). 142726–142726. 33 indexed citations

Kim, Dongjun, et al.. (2020). Muricauda ochracea sp. nov., isolated from a tidal flat in the Republic of Korea. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(8). 4555–4561. 7 indexed citations

10.

Heo, Young Mok, et al.. (2020). Influence of Tree Vegetation on Soil Microbial Communities in Temperate Forests and Their Potential as a Proactive Indicator of Vegetation Shift Due to Climate Change. Sustainability. 12(24). 10591–10591. 6 indexed citations

11.

Cho, Seungyon, Mu-Young Ahn, Y.B. Chun, et al.. (2018). Investigation of technical gaps between DEMO blanket and HCCR TBM. Fusion Engineering and Design. 136. 190–198. 14 indexed citations

12.

Kim, Dongjun, Seong Dae Park, Dong Won Lee, & Mu-Young Ahn. (2017). Components Design and Analysis for the HCCR TBM Preliminary Design. Fusion Science & Technology. 72(4). 760–765. 1 indexed citations

13.

Lee, Yeonsoo, et al.. (2016). A novel density-based clustering method using word embedding features for dialogue intention recognition. Cluster Computing. 19(4). 2315–2326. 10 indexed citations

14.

Kim, Dongjun, et al.. (2011). Evaluation of Waist Pressure Using Electroencephalogram(EEG) Signal. The Transactions of The Korean Institute of Electrical Engineers. 60(6). 1190–1195. 1 indexed citations

15.

Kim, Dongjun, et al.. (2010). Pattern Classification of Four Emotions using EEG. 3(4). 23–27. 2 indexed citations

16.

Park, Jin Young, Dongjun Kim, & Yongtaek Lim. (2008). Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea. Transportation Research Record Journal of the Transportation Research Board. 2063(1). 3–9. 76 indexed citations

17.

Kim, Dongjun, et al.. (2007). Stability of equivalent control based discrete sliding mode controller. 2663–2667. 1 indexed citations

18.

Kim, Kyeong-Seop, et al.. (2005). A Robust Human Identification by Normalized Time-Domain Features of Electrocardiogram. PubMed. 2005. 1114–1117. 37 indexed citations

19.

Park, Sang Yong, Seunghan Ha, Sang Wook Son, et al.. (2004). Quantitative evaluation of severity in psoriatic lesions using three‐dimensional morphometry. Experimental Dermatology. 13(4). 223–228. 12 indexed citations

20.

Park, Sang Yong, Dongjun Kim, Il Hwan Kim, et al.. (2003). Objective assessment of involved surface area in patients with psoriasis. Skin Research and Technology. 9(4). 339–342. 24 indexed citations

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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