Sungbin Lim

3.0k total citations
86 papers, 2.0k citations indexed

About

Sungbin Lim is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sungbin Lim has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistical and Nonlinear Physics, 23 papers in Modeling and Simulation and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sungbin Lim's work include Fractional Differential Equations Solutions (23 papers), Complex Systems and Time Series Analysis (18 papers) and Cosmology and Gravitation Theories (11 papers). Sungbin Lim is often cited by papers focused on Fractional Differential Equations Solutions (23 papers), Complex Systems and Time Series Analysis (18 papers) and Cosmology and Gravitation Theories (11 papers). Sungbin Lim collaborates with scholars based in Malaysia, South Korea and China. Sungbin Lim's co-authors include S. V. Muniandy, Ming Li, Lee-Peng Teo, Ralf Metzler, J. Klafter, Shengyong Chen, Kyeong-Hun Kim, Rajasekaran Murugan, Changhyun Kwon and Ildoo Kim and has published in prestigious journals such as Scientific Reports, Physics Letters B and IEEE Access.

In The Last Decade

Sungbin Lim

81 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sungbin Lim Malaysia	25	918	620	437	337	283	86	2.0k
H. J. Haubold Austria	17	1.6k 1.7×	902 1.5×	900 2.1×	149 0.4×	567 2.0×	140	3.3k
Nikolai Leonenko United Kingdom	26	648 0.7×	398 0.6×	490 1.1×	424 1.3×	267 0.9×	199	2.7k
Guy Jumarie Canada	25	2.6k 2.8×	1.8k 2.8×	666 1.5×	252 0.7×	849 3.0×	159	3.7k
David Applebaum United Kingdom	15	410 0.4×	363 0.6×	817 1.9×	285 0.8×	123 0.4×	64	2.9k
Nick Laskin Canada	13	1.4k 1.6×	1.4k 2.2×	732 1.7×	73 0.2×	427 1.5×	34	3.0k
R. K. Saxena India	25	1.8k 2.0×	599 1.0×	1.4k 3.3×	55 0.2×	778 2.7×	116	3.4k
Denis Talay France	24	246 0.3×	336 0.5×	246 0.6×	201 0.6×	327 1.2×	64	2.6k
Andrzej Lasota Poland	24	209 0.2×	1.2k 2.0×	675 1.5×	189 0.6×	312 1.1×	97	3.3k
Enzo Orsingher Italy	25	968 1.1×	382 0.6×	735 1.7×	56 0.2×	377 1.3×	144	2.2k
Nico Μ. Τemme Netherlands	23	433 0.5×	364 0.6×	1.2k 2.7×	48 0.1×	572 2.0×	175	2.8k

Countries citing papers authored by Sungbin Lim

Since Specialization

Citations

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

Fields of papers citing papers by Sungbin Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungbin Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungbin Lim. A scholar is included among the top collaborators of Sungbin 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 Sungbin Lim. Sungbin Lim 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

Kang, Ji-Hoon, et al.. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports. 14(1). 10080–10080. 1 indexed citations

Park, Yae Won, Sungbin Lim, Ji Eun Park, et al.. (2024). Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Computer Methods and Programs in Biomedicine. 254. 108288–108288. 5 indexed citations

Kim, Jaeyoung, et al.. (2023). Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. 551–563. 1 indexed citations

Lee, Young Ki, Ju Yeon Park, Seog Yun Park, et al.. (2023). Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution. Scientific Reports. 13(1). 9847–9847. 8 indexed citations

Seo, Sung Wook, et al.. (2020). Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis. BMC Medical Informatics and Decision Making. 20(1). 320–320. 3 indexed citations

Lim, Sungbin, et al.. (2019). Fast AutoAugment. Neural Information Processing Systems. 32. 6665–6675. 33 indexed citations

Lim, Sungbin, et al.. (2016). An L(L)-theory for the time fractional evolution equations with variable coefficients. Advances in Mathematics. 306. 123–176. 61 indexed citations

Kim, Kyeong-Hun, et al.. (2015). Parabolic BMO estimates for pseudo-differential operators of arbitrary order. Journal of Mathematical Analysis and Applications. 427(2). 557–580. 9 indexed citations

Kim, Kyeong-Hun, et al.. (2015). Parabolic Littlewood–Paley inequality for a class of time-dependent pseudo-differential operators of arbitrary order, and applications to high-order stochastic PDE. Journal of Mathematical Analysis and Applications. 436(2). 1023–1047. 5 indexed citations

10.

Li, Ming, et al.. (2013). Characteristic Roots of a Class of Fractional Oscillators. Advances in High Energy Physics. 2013. 1–7. 15 indexed citations

11.

Lim, Sungbin, et al.. (2012). Accelerating and retarding anomalous diffusion. Journal of Physics A Mathematical and Theoretical. 45(14). 145001–145001. 21 indexed citations

12.

Lim, Sungbin, et al.. (2011). Fractional Langevin equations of distributed order. Physical Review E. 83(3). 31136–31136. 76 indexed citations

13.

Li, Ming, Sungbin Lim, & Shengyong Chen. (2010). Exact Solution of Impulse Response to a Class of Fractional Oscillators and Its Stability. Mathematical Problems in Engineering. 2011(1). 68 indexed citations

14.

Lim, Sungbin & Lee-Peng Teo. (2008). Casimir piston at zero and finite temperature. arXiv (Cornell University). 3 indexed citations

15.

Lim, Sungbin & Lee-Peng Teo. (2008). Gaussian fields and Gaussian sheets with generalized Cauchy covariance structure. Stochastic Processes and their Applications. 119(4). 1325–1356. 25 indexed citations

16.

Li, Ming & Sungbin Lim. (2006). A RIGOROUS DERIVATION OF POWER SPECTRUM OF FRACTIONAL GAUSSIAN NOISE. Fluctuation and Noise Letters. 6(4). C33–C36. 36 indexed citations

17.

Lim, Sungbin & S. V. Muniandy. (2004). Stochastic quantization of nonlocal fields. Physics Letters A. 324(5-6). 396–405. 31 indexed citations

18.

Muniandy, S. V. & Sungbin Lim. (2001). Modeling of locally self-similar processes using multifractional Brownian motion of Riemann-Liouville type. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 46104–46104. 31 indexed citations

19.

Lim, Sungbin, et al.. (1998). Frontiers in quantum physics. Springer eBooks. 12 indexed citations

20.

Lim, Sungbin. (1978). Euclidean massive spin-3 field which is markovian. Physics Letters B. 77(3). 287–289. 3 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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