Yaeji Lim

1.4k total citations
72 papers, 1.0k citations indexed

About

Yaeji Lim is a scholar working on Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yaeji Lim has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yaeji Lim's work include MRI in cancer diagnosis (9 papers), Climate variability and models (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Yaeji Lim is often cited by papers focused on MRI in cancer diagnosis (9 papers), Climate variability and models (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Yaeji Lim collaborates with scholars based in South Korea, United States and Ethiopia. Yaeji Lim's co-authors include Eun Sook Ko, Boo‐Kyung Han, Eun Young Ko, Soo Yeon Hahn, Ji Soo Choi, Jeong Eon Lee, Jae‐Hun Kim, Seok Jin Nam, Ko Woon Park and Hwan-ho Cho and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Yaeji Lim

62 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaeji Lim South Korea 17 510 183 159 141 107 72 1.0k
Jin Kuk Kim South Korea 20 507 1.0× 109 0.6× 235 1.5× 75 0.5× 42 0.4× 86 1.3k
Hideyuki Hashimoto Japan 15 384 0.8× 160 0.9× 68 0.4× 81 0.6× 228 2.1× 40 902
Youbin Deng China 18 484 0.9× 228 1.2× 293 1.8× 271 1.9× 99 0.9× 73 1.4k
Alexi Baidoshvili Netherlands 15 346 0.7× 128 0.7× 66 0.4× 492 3.5× 68 0.6× 22 920
Johannes Lotz Germany 25 206 0.4× 224 1.2× 198 1.2× 161 1.1× 67 0.6× 70 1.6k
Nicolas Jay France 16 186 0.4× 121 0.7× 141 0.9× 77 0.5× 83 0.8× 49 1.1k
Qing Guan China 17 211 0.4× 243 1.3× 130 0.8× 137 1.0× 243 2.3× 46 1.1k
Nicola H. Strickland United Kingdom 15 358 0.7× 117 0.6× 70 0.4× 88 0.6× 54 0.5× 43 928
Simone Schiaffino Italy 19 595 1.2× 127 0.7× 53 0.3× 244 1.7× 39 0.4× 76 1.1k

Countries citing papers authored by Yaeji Lim

Since Specialization
Citations

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

Fields of papers citing papers by Yaeji Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaeji Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Yaeji Lim. A scholar is included among the top collaborators of Yaeji 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 Yaeji Lim. Yaeji 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.
Yang, Ye, Yaeji Lim, Hyung Joon Joo, et al.. (2025). Review learning: Real world validation of privacy preserving continual learning across medical institutions. Computers in Biology and Medicine. 192(Pt B). 110239–110239.
2.
Kim, Tae Hyun & Yaeji Lim. (2024). Environmental spillovers and local agglomeration: Evidence from large plant openings. Journal of Behavioral and Experimental Finance. 43. 100968–100968.
3.
4.
Kim, Hyunsung, et al.. (2023). Functional principal component analysis for partially observed elliptical process. Computational Statistics & Data Analysis. 184. 107745–107745. 6 indexed citations
5.
Park, Ji Young, et al.. (2023). Association between the incidence of type 1 diabetes mellitus and tuberculosis or bacillus Calmette-Guérin immunization in children and adolescents. Annals of Pediatric Endocrinology & Metabolism. 28(4). 251–257.
6.
Oh, Hee‐Seok, et al.. (2023). Multi-feature clustering of step data using multivariate functional principal component analysis. Statistical Papers. 65(4). 2109–2134.
7.
Kim, Minji, Hee‐Seok Oh, & Yaeji Lim. (2023). Zero-Inflated Time Series Clustering Via Ensemble Thick-Pen Transform. Journal of Classification. 40(2). 407–431. 1 indexed citations
8.
Kim, Hyue Mee, In‐Chang Hwang, Yeonyee E. Yoon, et al.. (2022). Prediction of Deterioration of Left Ventricular Function Using 3‐Dimensional Speckle‐Tracking Echocardiography in Patients With Left Bundle‐Branch Block. Journal of the American Heart Association. 12(1). e026194–e026194. 1 indexed citations
9.
Kang, Eunjeong, Sehoon Park, Yong Chul Kim, et al.. (2022). Clinical outcomes of posttransplantation diabetes mellitus in kidney transplantation recipients: a nationwide population-based cohort study in Korea. Scientific Reports. 12(1). 21632–21632. 4 indexed citations
10.
Shin, Jung Hee, Soo Yeon Hahn, Young Lyun Oh, et al.. (2022). Ultrasonographic characteristics of Hürthle cell neoplasms: prediction of malignancy. ULTRASONOGRAPHY. 41(4). 689–697. 2 indexed citations
11.
12.
Park, Hyunjin, Yaeji Lim, Eun Sook Ko, et al.. (2018). Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer. Clinical Cancer Research. 24(19). 4705–4714. 189 indexed citations
13.
14.
Kwon, Mi-ri, Jung Hee Shin, Soo Yeon Hahn, et al.. (2018). Histogram analysis of greyscale sonograms to differentiate between the subtypes of follicular variant of papillary thyroid cancer. Clinical Radiology. 73(6). 591.e1–591.e7. 17 indexed citations
15.
Lim, Yaeji, Eun Sook Ko, Boo‐Kyung Han, et al.. (2017). Background parenchymal enhancement on breast MRI: association with recurrence-free survival in patients with newly diagnosed invasive breast cancer. Breast Cancer Research and Treatment. 163(3). 573–586. 29 indexed citations
16.
Lim, Yaeji, Hyuk Lee, Joungyoun Kim, et al.. (2016). A Model for Predicting the Future Risk of Incident Erosive Esophagitis in an Asymptomatic Population Undergoing Regular Check-ups. Medicine. 95(4). e2591–e2591. 3 indexed citations
17.
Hahn, Soo Yeon, Eun Sook Ko, Boo‐Kyung Han, et al.. (2016). Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer. Medicine. 95(27). e4086–e4086. 21 indexed citations
18.
Choi, Hye Young, Eun Sook Ko, Boo‐Kyung Han, et al.. (2016). Prognostic Significance of Transverse Relaxation Rate (R2*) in Blood Oxygenation Level-Dependent Magnetic Resonance Imaging in Patients with Invasive Breast Cancer. PLoS ONE. 11(7). e0158500–e0158500. 3 indexed citations
19.
Quan, Wenying, Kyu Yeon Hur, Yaeji Lim, et al.. (2011). Autophagy deficiency in beta cells leads to compromised unfolded protein response and progression from obesity to diabetes in mice. Diabetologia. 55(2). 392–403. 152 indexed citations
20.

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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