Hyeon-Jun Kim

1.4k total citations · 1 hit paper
78 papers, 1.1k citations indexed

About

Hyeon-Jun Kim is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Hyeon-Jun Kim has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Water Science and Technology, 23 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Hyeon-Jun Kim's work include Hydrology and Watershed Management Studies (27 papers), Flood Risk Assessment and Management (11 papers) and Climate variability and models (9 papers). Hyeon-Jun Kim is often cited by papers focused on Hydrology and Watershed Management Studies (27 papers), Flood Risk Assessment and Management (11 papers) and Climate variability and models (9 papers). Hyeon-Jun Kim collaborates with scholars based in South Korea, United Kingdom and Japan. Hyeon-Jun Kim's co-authors include Thomas Kjeldsen, J. C. Packman, Stephen Grebby, James D. Miller, Rachel Dearden, Sangjun Im, Sanghyun Park, Jeongwoo Lee, Hyosang Lee and Jeong Eun Lee and has published in prestigious journals such as Journal of Experimental Botany, Journal of Hydrology and Construction and Building Materials.

In The Last Decade

Hyeon-Jun Kim

68 papers receiving 1.0k citations

Hit Papers

Assessing the impact of urbanization on storm runoff in a... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover
    2014 370 citations Hyeon-Jun Kim et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeon-Jun Kim South Korea 14 669 552 430 134 89 78 1.1k
Huiyuan Bian China 10 630 0.9× 301 0.5× 326 0.8× 165 1.2× 93 1.0× 24 1.2k
Renji Remesan United Kingdom 19 626 0.9× 527 1.0× 543 1.3× 220 1.6× 75 0.8× 52 1.3k
G. B. Sahoo United States 18 359 0.5× 750 1.4× 486 1.1× 123 0.9× 58 0.7× 34 1.3k
Zhiyu Liu China 18 774 1.2× 1.0k 1.8× 237 0.6× 229 1.7× 38 0.4× 47 1.3k
Rohit Goyal India 13 305 0.5× 262 0.5× 417 1.0× 94 0.7× 56 0.6× 41 799
S. Srinivasulu India 11 546 0.8× 763 1.4× 892 2.1× 74 0.6× 164 1.8× 20 1.3k
Cláudio José Cavalcante Blanco Brazil 18 421 0.6× 382 0.7× 202 0.5× 159 1.2× 68 0.8× 108 1.0k
Yanfei Ma China 21 954 1.4× 423 0.8× 451 1.0× 357 2.7× 80 0.9× 60 1.6k
Changjun Liu China 18 498 0.7× 370 0.7× 275 0.6× 230 1.7× 46 0.5× 66 1.2k

Countries citing papers authored by Hyeon-Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon-Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeon-Jun Kim

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

All Works

20 of 20 papers shown
1.
2.
Kim, Hyeon-Jun, et al.. (2024). Channel-Selection LNA Using High-Order N-Path Feedforward Blocker Cancellation Path With Complex Poles for Advanced 5G NR FDD RX. IEEE Transactions on Microwave Theory and Techniques. 72(12). 6821–6832. 1 indexed citations
3.
Kim, Hyeon-Jun, et al.. (2024). IIP2-Calibration-Free 5G NR Cellular Receiver Front-End With Mixer-Sharing Global N-Path Notch Filter Feedback Achieving +72 dBm IIP2. IEEE Transactions on Circuits and Systems I Regular Papers. 72(3). 1178–1190. 2 indexed citations
4.
Lee, Jeongwoo, et al.. (2023). Evaluation of Seasonal Climate Predictability Considering the Duration of Climate Indices. Water. 15(18). 3291–3291. 1 indexed citations
5.
Lee, Jeongwoo, et al.. (2023). Basin‐scale monthly rainfall forecasts with a data‐driven model using lagged global climate indices and future predicted rainfall of an adjacent basin. International Journal of Climatology. 43(7). 3139–3158. 2 indexed citations
6.
Kim, Hyeon-Jun, et al.. (2023). Application of Wearable Gloves for Assisted Learning of Sign Language Using Artificial Neural Networks. Processes. 11(4). 1065–1065. 7 indexed citations
7.
Kim, Hyeon-Jun, et al.. (2023). Optimal design of a 15 kW-class interior permanent magnet synchronous motor for micro-EV traction using artificial neural network models. Microsystem Technologies. 29(8). 1165–1179. 3 indexed citations
8.
Kim, Hyeon-Jun, et al.. (2022). Simple Ge/Si bilayer junction-based doping-less tunnel field-effect transistor. Nanotechnology. 34(9). 95201–95201. 2 indexed citations
9.
Kim, Hyeon-Jun, et al.. (2021). Analysis of Flight Data in SpaceX’s Falcon 9. Journal of the Korean Society for Aeronautical & Space Sciences. 49(12). 997–1010.
10.
Ju, Young‐Gu, et al.. (2020). Microscope Projection Photolithography Based on Liquid Crystal Microdisplay. arXiv (Cornell University). 5 indexed citations
11.
Lee, Jeongwoo, et al.. (2018). Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea. Water. 10(10). 1448–1448. 83 indexed citations
12.
Kim, Hyeon-Jun, et al.. (2017). Experience Cases of Combustion Instability in Development of Thrust Chamber for Liquid Rocket Engine. 54–58. 1 indexed citations
13.
Kim, Hyeon-Jun, et al.. (2010). Development of treatment facilities for improving water cycle in the water cycle analysis model for the urban catchment. 1360–1364. 1 indexed citations
14.
Kim, Hyeon-Jun, et al.. (2008). A Study on Oxy-Fuel Combustion System with Multi-Jet Burner-Numerical Simulation with PDF Combustion Model. Transactions of the Korean Society of Mechanical Engineers B. 32(7). 504–512. 2 indexed citations
15.
Kim, Hyeon-Jun, et al.. (2007). Development of technical guidelines for hydrologic cycle in urban catchment. 1630–1634.
16.
Im, Sangjun, et al.. (2005). Estimation of Watershed-Scaled Water Poverty Index in the Han River Basin. Journal of the Korean Society of Civil Engineers. 25. 419–419. 1 indexed citations
17.
Kim, Hyeon-Jun, et al.. (2005). THE CHEONGGYE-CHEON ESTORATION PROJECT AND HYDROLOGICAL CYCLE ANALYSIS. 6(4). 179–187. 2 indexed citations
18.
Kim, Hyeon-Jun, et al.. (2004). Analysis of River Channel Morphology and Riparian Land Use Changes Using Aerial Photographs. 24. 815–821. 1 indexed citations
19.
Kim, Hyeon-Jun, et al.. (2003). RUNOFF ESTIMATION FROM TWO MID-SIZE WATERSHEDS USING SWAT MODEL. 4(4). 193–202. 3 indexed citations
20.
Im, Sangjun, et al.. (2000). Methodology for Estimating Agricultural Water Supply in the Han River Basin. Journal of Korea Water Resources Association. 33(6). 765–774. 8 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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