Jong‐Se Lim

1.1k total citations
83 papers, 829 citations indexed

About

Jong‐Se Lim is a scholar working on Ocean Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Jong‐Se Lim has authored 83 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ocean Engineering, 36 papers in Mechanics of Materials and 35 papers in Mechanical Engineering. Recurrent topics in Jong‐Se Lim's work include Reservoir Engineering and Simulation Methods (37 papers), Hydrocarbon exploration and reservoir analysis (33 papers) and Hydraulic Fracturing and Reservoir Analysis (30 papers). Jong‐Se Lim is often cited by papers focused on Reservoir Engineering and Simulation Methods (37 papers), Hydrocarbon exploration and reservoir analysis (33 papers) and Hydraulic Fracturing and Reservoir Analysis (30 papers). Jong‐Se Lim collaborates with scholars based in South Korea, United States and China. Jong‐Se Lim's co-authors include Chun Huh, James R. Kahn, Seong-Pil Kang, Ju-Young Shin, Sang-Yong Lee, Jaehyoung Lee, Baehyun Min, Seunghun Shin, Wonhee Lee and Jisu Kim and has published in prestigious journals such as The Quarterly Journal of Economics, Chemical Engineering Science and Energies.

In The Last Decade

Jong‐Se Lim

71 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐Se Lim South Korea 15 430 374 322 155 103 83 829
Rahim Masoudi Malaysia 17 583 1.4× 390 1.0× 395 1.2× 384 2.5× 79 0.8× 116 1.3k
Jinchuan Zhang China 19 327 0.8× 678 1.8× 236 0.7× 109 0.7× 67 0.7× 61 990
Shuhua Wang China 18 654 1.5× 466 1.2× 546 1.7× 33 0.2× 60 0.6× 59 1.1k
Hangyu Li China 18 280 0.7× 267 0.7× 277 0.9× 123 0.8× 15 0.1× 55 796
Baehyun Min South Korea 20 529 1.2× 163 0.4× 411 1.3× 48 0.3× 20 0.2× 91 1.0k
Jinhyung Cho South Korea 13 264 0.6× 245 0.7× 174 0.5× 29 0.2× 55 0.5× 36 610
Watheq J. Al‐Mudhafar United States 23 937 2.2× 719 1.9× 864 2.7× 45 0.3× 28 0.3× 88 1.4k
Qiulin Guo China 13 362 0.8× 752 2.0× 349 1.1× 73 0.5× 133 1.3× 34 894

Countries citing papers authored by Jong‐Se Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Se Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Se Lim. 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 Jong‐Se Lim. The network helps show where Jong‐Se Lim may publish in the future.

Co-authorship network of co-authors of Jong‐Se Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Se Lim. A scholar is included among the top collaborators of Jong‐Se Lim 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 Jong‐Se Lim. Jong‐Se Lim 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.
Lim, Jong‐Se, et al.. (2024). Prediction of Storage Efficiency Index Based on Machine Learning: CO2 Storage Factor Analysis of Depleted Gas Fields. Journal of the Korean Society of Mineral and Energy Resources Engineers. 61(3). 256–270.
2.
Lim, Jong‐Se, et al.. (2023). Extraction and Application of Decline Characteristics Based on Long Short-Term Memory Neural Networks to Improve the Performance of Shale Gas Production Prediction Model. Journal of the Korean Society of Mineral and Energy Resources Engineers. 60(6). 504–515.
4.
Lim, Jong‐Se, et al.. (2022). Field-scale simulation of gas hydrate dissociation behavior in multilayered sediments under different depressurization conditions. Journal of Petroleum Science and Engineering. 220. 111221–111221. 12 indexed citations
5.
Lim, Jong‐Se, et al.. (2022). Application of Long Short-Term Memory Neural Networks in Shale Gas Production Prediction using Production-Related Factors. Journal of the Korean Society of Mineral and Energy Resources Engineers. 59(6). 673–683. 1 indexed citations
6.
Lim, Jong‐Se, et al.. (2019). Temperature dependence of relaxation time of hydrolyzed polyacrylamide solution for enhanced oil recovery. Journal of Industrial and Engineering Chemistry. 78. 257–264. 7 indexed citations
7.
Lim, Jong‐Se, et al.. (2019). Numerical Analysis of Depressurization Rate Effects on the Gas Hydrate Dissociation Behavior in Core Scale Experimental System. Journal of the Korean Society of Mineral and Energy Resources Engineers. 56(4). 334–343. 1 indexed citations
8.
Lim, Jong‐Se, et al.. (2016). Artificial Neural Network Model to Estimate the Viscosity of Polymer Solutions for Enhanced Oil Recovery. Applied Sciences. 6(7). 188–188. 22 indexed citations
9.
Lim, Jong‐Se, et al.. (2016). Screening Criteria and Considerations of Offshore Enhanced Oil Recovery. Energies. 9(1). 44–44. 45 indexed citations
10.
Lim, Jong‐Se, et al.. (2014). Status of Wax Mitigation Technologies in Offshore Oil Production. The Twenty-fourth International Ocean and Polar Engineering Conference. 30 indexed citations
11.
Kim, Ji Su, et al.. (2014). Application of a Probabilistic Method to the Forecast of Production Rate Using a Decline Curve Analysis of Shale Gas Play. The Twenty-fourth International Ocean and Polar Engineering Conference. 3 indexed citations
12.
Lim, Jong‐Se, et al.. (2014). A Simulation Study of Wax Deposition in Subsea Oil Production System. The Twenty-fourth International Ocean and Polar Engineering Conference. 4 indexed citations
13.
Lim, Jong‐Se, et al.. (2013). A Novel Approach in Estimating Shear-Thinning Rheology of HPAM and AMPS Polymers for Enhanced Oil Recovery Using Artificial Neural Network. The Twenty-third International Offshore and Polar Engineering Conference. 81–85. 3 indexed citations
14.
Lim, Jong‐Se, et al.. (2011). 3D Geostatistical Modeling Using Well Data of Oil Sand Reservoir in the Leismer Field, Canada. Journal of the Korean Society of Mineral and Energy Resources Engineers. 48(6). 687–700. 1 indexed citations
15.
Lim, Jong‐Se, et al.. (2011). Estimation of Petrophysical Properties Using the Well Logs and Core Analysis Data in Oil Sand Reservoir, Leismer Field, Canada. Journal of the Korean Society of Mineral and Energy Resources Engineers. 48(2). 199–210.
16.
Lim, Jong‐Se, et al.. (2010). Current Technologies and Field Cases of Onshore Deep Oil Well Drilling. 809–821. 1 indexed citations
17.
Lim, Jong‐Se, et al.. (2009). Electrofacies Determination from Well Logs Using Fuzzy Clustering Analysis. Journal of the Korean Society of Mineral and Energy Resources Engineers. 46(4). 424–430. 1 indexed citations
18.
Lim, Jong‐Se, et al.. (2009). Korean Petroleum Resources Classification System. Journal of the Korean Society of Mineral and Energy Resources Engineers. 46(4). 498–508. 4 indexed citations
19.
Lim, Jong‐Se, et al.. (2009). Processing of Side Scan Sonar and SBP Data for the Artificial Reef Area. Geophysics and Geophysical Exploration. 12(2). 192–198. 5 indexed citations
20.
Lim, Jong‐Se. (2003). Reservoir Permeability Determination using Artificial Neural Network. Journal of the Korean Society of Mineral and Energy Resources Engineers. 40(4). 232–238. 25 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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