Raehyun Kim

494 total citations
11 papers, 226 citations indexed

About

Raehyun Kim is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Raehyun Kim has authored 11 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanical Engineering, 3 papers in Civil and Structural Engineering and 2 papers in Ocean Engineering. Recurrent topics in Raehyun Kim's work include Drilling and Well Engineering (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers) and Advanced Fiber Optic Sensors (2 papers). Raehyun Kim is often cited by papers focused on Drilling and Well Engineering (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers) and Advanced Fiber Optic Sensors (2 papers). Raehyun Kim collaborates with scholars based in South Korea, Japan and United States. Raehyun Kim's co-authors include Jaewoo Kang, Yookyung Koh, Woojin Lee, S.-A. Hong, Moonjoo Lee, Jinhyuk Lee, Jong‐Sub Lee, Youngbin Park, Minbyul Jeong and Hyunwoo J. Kim and has published in prestigious journals such as Biophysical Journal, IEEE Access and Information Sciences.

In The Last Decade

Raehyun Kim

10 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raehyun Kim South Korea	7	71	70	53	38	25	11	226
Chao Qin China	6	15 0.2×	87 1.2×	64 1.2×	62 1.6×	29 1.2×	18	238
Piyasak Jeatrakul Thailand	5	7 0.1×	35 0.5×	96 1.8×	30 0.8×	11 0.4×	11	181
Ulrich Anders Germany	5	7 0.1×	114 1.6×	127 2.4×	46 1.2×	63 2.5×	5	338
Tshilidzi Marwala South Africa	6	22 0.3×	16 0.2×	69 1.3×	30 0.8×	4 0.2×	9	202
Kwang Ho Park South Korea	9	7 0.1×	38 0.5×	72 1.4×	30 0.8×	4 0.2×	17	243
Yuzhu Tian China	10	6 0.1×	21 0.3×	95 1.8×	14 0.4×	12 0.5×	46	341
Majid Bahrepour Netherlands	8	23 0.3×	23 0.3×	91 1.7×	66 1.7×	3 0.1×	11	285
Yimei Yang China	10	5 0.1×	82 1.2×	74 1.4×	86 2.3×	18 0.7×	18	275
Romuald Boné France	8	6 0.1×	58 0.8×	119 2.2×	107 2.8×	4 0.2×	19	287
Tianxiang Zhao United States	8	11 0.2×	24 0.3×	138 2.6×	48 1.3×	2 0.1×	26	257

Countries citing papers authored by Raehyun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Raehyun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raehyun Kim

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

11 of 11 papers shown

1.

Jeong, Minbyul, et al.. (2022). Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks. 153. 104–119. 49 indexed citations

2.

Kim, Raehyun, et al.. (2019). Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network. IEEE Access. 7. 167260–167277. 72 indexed citations

3.

Lee, Jinhyuk, et al.. (2018). DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab. Information Sciences. 457-458. 1–11. 29 indexed citations

4.

Kim, Raehyun, Kaiyan Lou, & Mary L. Kraft. (2012). Use of Fluorescent Sphingolipid Precursors for Biophysical Studies of Sphingolipids. Biophysical Journal. 102(3). 200a–200a. 1 indexed citations

5.

Lee, Chang-Ho, et al.. (2012). Quantitative assessment of temperature effect on cone resistance. Bulletin of Engineering Geology and the Environment. 72(1). 3–13. 6 indexed citations

6.

Kim, Raehyun, S.-A. Hong, Moonjoo Lee, & Woojin Lee. (2011). Time Dependent Well Resistance Factor of PVD. Marine Georesources and Geotechnology. 29(2). 131–144. 46 indexed citations

7.

Kim, Raehyun, Woojin Lee, & Jong‐Sub Lee. (2010). Temperature-Compensated Cone Penetration Test Mini-Cone Using Fiber Optic Sensors. Geotechnical Testing Journal. 33(3). 243–252. 11 indexed citations

8.

Kim, Raehyun, et al.. (2010). Evaluation of the PVD Smear Zone Using Micro Penetrometer. GeoFlorida 2010. 998–1007. 2 indexed citations

9.

Kim, Raehyun, et al.. (2009). Electrical resistivity and cone tip resistance monitoring by using cone resistivity penetrometer. 168–171. 1 indexed citations

10.

Kim, Raehyun, et al.. (2008). A Modified Method for the Radial Consolidation with the Time Dependent Well Resistance. Journal of the Korean Geotechnical Society. 24(6). 77–84.

11.

Chae, Namyi, et al.. (2003). Measurement of Soil CO 2 Efflux Using a Closed Dynamic Chamber System. Korean Journal of Agricultural and Forest Meteorology. 5(2). 94–100. 9 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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