Incheol Kim

2.3k total citations · 1 hit paper
99 papers, 1.7k citations indexed

About

Incheol Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Incheol Kim has authored 99 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 19 papers in Civil and Structural Engineering. Recurrent topics in Incheol Kim's work include Geotechnical Engineering and Soil Stabilization (12 papers), Geotechnical Engineering and Underground Structures (10 papers) and Multimodal Machine Learning Applications (10 papers). Incheol Kim is often cited by papers focused on Geotechnical Engineering and Soil Stabilization (12 papers), Geotechnical Engineering and Underground Structures (10 papers) and Multimodal Machine Learning Applications (10 papers). Incheol Kim collaborates with scholars based in South Korea, United States and Spain. Incheol Kim's co-authors include Junhwan Lee, Garam Kim, Doohyun Kyung, Donggyu Park, Sun-Bin Kim, Sameer Antani, Sivaramakrishnan Rajaraman, George R. Thoma, Sema Candemir and Sung‐Il Chien and has published in prestigious journals such as IEEE Access, Renewable Energy and Archives of Biochemistry and Biophysics.

In The Last Decade

Incheol Kim

82 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Comparative Influences of Precipitation and River Stage on Groundwater Levels in Near-River Areas

2015 908 citations Incheol Kim, Junhwan Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Incheol Kim South Korea	13	244	228	203	197	149	99	1.7k
Yan Wang China	36	80 0.3×	153 0.7×	184 0.9×	657 3.3×	310 2.1×	297	4.3k
Bens Pardamean Indonesia	26	167 0.7×	204 0.9×	441 2.2×	43 0.2×	151 1.0×	304	2.5k
Kwok Fai Tso Hong Kong	14	53 0.2×	107 0.5×	234 1.2×	50 0.3×	210 1.4×	46	1.7k
Meng Xu China	29	35 0.1×	391 1.7×	196 1.0×	94 0.5×	187 1.3×	174	2.9k
Bidisha Ghosh Ireland	27	32 0.1×	157 0.7×	219 1.1×	125 0.6×	251 1.7×	128	2.6k
Rezzy Eko Caraka Indonesia	20	48 0.2×	95 0.4×	279 1.4×	62 0.3×	191 1.3×	97	1.8k
Alejandro Manuel Martín-Gómez Spain	10	59 0.2×	85 0.4×	341 1.7×	211 1.1×	49 0.3×	22	1.1k
Brian Smith United States	21	47 0.2×	63 0.3×	108 0.5×	96 0.5×	283 1.9×	97	2.0k

Countries citing papers authored by Incheol Kim

Since Specialization

Citations

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

Fields of papers citing papers by Incheol Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Incheol Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Incheol Kim. A scholar is included among the top collaborators of Incheol 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 Incheol Kim. Incheol 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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20 of 20 papers shown

1.

Eun, Jongwan, et al.. (2025). Modeling of Soil Freezing Water Characteristic Curve Considering Phase Change. 156–164.

2.

Kim, Incheol, et al.. (2025). Evaluation of water retention characteristics in frozen sandy soils using an environmentally controlled column test. Cold Regions Science and Technology. 241. 104664–104664.

3.

Cho, Yeongsu & Incheol Kim. (2021). NMN-VD: A Neural Module Network for Visual Dialog. Sensors. 21(3). 931–931. 4 indexed citations

4.

Kim, Garam, Incheol Kim, Tae Sup Yun, & Junhwan Lee. (2021). Effects of freezing and thawing on retaining wall with changes in groundwater level. Geomechanics and Engineering. 24(6). 531–543. 1 indexed citations

5.

Jung, Eunjin & Incheol Kim. (2021). Hybrid Imitation Learning Framework for Robotic Manipulation Tasks. Sensors. 21(10). 3409–3409. 6 indexed citations

6.

Kim, Incheol. (2021). Analysis of Groundwater Level Prediction Performance with Influencing Factors by Artificial Neural Network. Journal of the Korean Geotechnical Society. 37(5). 19–31. 2 indexed citations

7.

Kim, Incheol, et al.. (2020). AnoVid: A Deep Neural Network-based Tool for Video Annotation. Journal of Korea Multimedia Society. 23(8). 986–1005. 1 indexed citations

8.

Kim, Incheol. (2020). Visual Experience-Based Question Answering with Complex Multimodal Environments. Mathematical Problems in Engineering. 2020. 1–18. 1 indexed citations

9.

Kim, Incheol, et al.. (2019). Effects of rock-support and inclined-layer conditions on load carrying behavior of piled rafts. Geomechanics and Engineering. 18(4). 363–371. 1 indexed citations

10.

Kim, Incheol, et al.. (2019). Spatio-Temporal Action Detection in Untrimmed Videos by Using Multimodal Features and Region Proposals. Sensors. 19(5). 1085–1085. 3 indexed citations

11.

Lee, Sujin & Incheol Kim. (2018). Multimodal Feature Learning for Video Captioning. Mathematical Problems in Engineering. 2018. 1–8. 16 indexed citations

12.

Kim, Incheol, et al.. (2018). A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology. Sensors. 18(10). 3336–3336. 4 indexed citations

13.

Kim, Incheol. (2018). Online Hard Example Mining for Training One-Stage Object Detectors. KIPS Transactions on Software and Data Engineering. 7(5). 195–204.

14.

Kim, Incheol & Junhwan Lee. (2018). Influencing Factor Analysis on Groundwater Level Fluctuation Near River. 5(2). 72–81. 1 indexed citations

15.

Lee, Sujin & Incheol Kim. (2018). Video Captioning with Visual and Semantic Features. Journal of Information Processing Systems. 14(6). 1318–1330. 4 indexed citations

16.

Kim, Incheol, et al.. (2015). Qualitative Spatial Reasoning with Directional and Topological Relations. Mathematical Problems in Engineering. 2015. 1–10. 3 indexed citations

17.

Kim, Hye-Suk & Incheol Kim. (2015). Human Activity Recognition as Time-Series Analysis. Mathematical Problems in Engineering. 2015. 1–9. 10 indexed citations

18.

Kim, Incheol, et al.. (2011). WiFi Location Estimation in Indoor Environments using Gaussian Processes. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 17(10). 564–568. 1 indexed citations

19.

Lee, In‐Seon, et al.. (2008). Effect of Metal Ions on Stabilization of Codium fragile's Pigments. Korean Journal of Food Preservation. 15(3). 352–360. 3 indexed citations

20.

Kim, Incheol, Hae Choon Chang, & Patrick Oriel. (1997). Production of Indigo and Indirubin by Escherichia coli Containing a Phenol Hydroxylase Gene of Bacillus stearothermophilus. Journal of Microbiology and Biotechnology. 7(3). 197–199. 1 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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