Sung Min Ha

5.2k total citations
22 papers, 836 citations indexed

About

Sung Min Ha is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Polymers and Plastics. According to data from OpenAlex, Sung Min Ha has authored 22 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Genetics and 5 papers in Polymers and Plastics. Recurrent topics in Sung Min Ha's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (8 papers) and Polymer Nanocomposites and Properties (4 papers). Sung Min Ha is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (8 papers) and Polymer Nanocomposites and Properties (4 papers). Sung Min Ha collaborates with scholars based in United States, South Korea and India. Sung Min Ha's co-authors include Qibing Pei, Ronald Pelrine, Scott Stanford, Wei Yuan, Youngjae Yoo, Jong Chan Won, Sung‐Goo Lee, Dongjuan Xi, Bin Chen and James Biggs and has published in prestigious journals such as Advanced Materials, Neuron and Journal of Clinical Oncology.

In The Last Decade

Sung Min Ha

22 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Min Ha United States 11 507 382 182 166 95 22 836
He Wang China 16 470 0.9× 185 0.5× 72 0.4× 79 0.5× 46 0.5× 54 767
Amit V. Desai United States 14 415 0.8× 467 1.2× 113 0.6× 133 0.8× 38 0.4× 20 939
Zongwen Li China 14 211 0.4× 124 0.3× 102 0.6× 62 0.4× 29 0.3× 46 633
Maksym Rybachuk Australia 17 350 0.7× 310 0.8× 54 0.3× 94 0.6× 32 0.3× 40 815
Xia Jiang China 12 117 0.2× 91 0.2× 75 0.4× 130 0.8× 88 0.9× 24 550
Iban Quintana Spain 18 218 0.4× 167 0.4× 34 0.2× 249 1.5× 27 0.3× 53 712
Yalin Zhao China 14 248 0.5× 223 0.6× 103 0.6× 83 0.5× 5 0.1× 35 576
Haochen Kang United States 12 332 0.7× 171 0.4× 66 0.4× 97 0.6× 134 1.4× 24 538
Andrews Souza Portugal 8 533 1.1× 117 0.3× 143 0.8× 94 0.6× 27 0.3× 17 860

Countries citing papers authored by Sung Min Ha

Since Specialization
Citations

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

Fields of papers citing papers by Sung Min Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Min Ha. 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 Sung Min Ha. The network helps show where Sung Min Ha may publish in the future.

Co-authorship network of co-authors of Sung Min Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Min Ha. A scholar is included among the top collaborators of Sung Min Ha 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 Sung Min Ha. Sung Min Ha 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.
Xiao, Pan, et al.. (2024). SC-VAE: Sparse coding-based variational autoencoder with learned ISTA. Pattern Recognition. 161. 111187–111187. 9 indexed citations
2.
Earnest, Tom, Sung Min Ha, Diana A. Hobbs, et al.. (2024). Data‐driven decomposition and staging of flortaucipir uptake in Alzheimer's disease. Alzheimer s & Dementia. 20(6). 4002–4019. 6 indexed citations
3.
Ponisio, Maria Rosana, Sung Min Ha, Satrajit Chakrabarty, et al.. (2024). AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning. Radiology. 311(3). e231442–e231442. 6 indexed citations
4.
Ha, Sung Min, et al.. (2023). Scalable NMF via linearly optimized data compression. PubMed Central. 5. 26–26. 1 indexed citations
5.
Nazeri, Arash, Željka Krsnik, Ivica Kostović, et al.. (2022). Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology. Neuron. 110(23). 4015–4030.e4. 12 indexed citations
6.
Pati, Sarthak, Ruchika Verma, Hamed Akbari, et al.. (2020). Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset. Medical Physics. 47(12). 6039–6052. 28 indexed citations
7.
Bakas, Spyridon, Gaurav Shukla, Hamed Akbari, et al.. (2020). Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. PubMed. 11315. 3 indexed citations
8.
Thakur, Siddhesh, Jimit Doshi, Sarthak Pati, et al.. (2020). Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning. Lecture notes in computer science. 11992. 57–68. 19 indexed citations
9.
Bakas, Spyridon, Gaurav Shukla, Hamed Akbari, et al.. (2020). Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities. Journal of Medical Imaging. 7(3). 1–1. 32 indexed citations
10.
Thakur, Siddhesh, Jimit Doshi, Sung Min Ha, et al.. (2019). NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESENCE OF DIFFUSE GLIOMA: A MULTI-INSTITUTIONAL STUDY. Neuro-Oncology. 21(Supplement_6). vi170–vi170. 2 indexed citations
11.
Rathore, Saima, Hamed Akbari, Gaurav Shukla, et al.. (2019). TMOD-40. IN VIVO EVALUATION OF O6-METHYLGUANINE-DNA-METHYLTRANSFERASE (MGMT) PROMOTER METHYLATION STATUS FOR DE NOVO GLIOBLASTOMA PATIENTS USING DEEP LEARNING FEATURES. Neuro-Oncology. 21(Supplement_6). vi271–vi272. 2 indexed citations
12.
Bakas, Spyridon, Saima Rathore, MacLean P. Nasrallah, et al.. (2018). NIMG-40. NON-INVASIVE IN VIVO SIGNATURE OF IDH1 MUTATIONAL STATUS IN HIGH GRADE GLIOMA, FROM CLINICALLY-ACQUIRED MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING, USING MULTIVARIATE MACHINE LEARNING. Neuro-Oncology. 20(suppl_6). vi184–vi185. 5 indexed citations
13.
Ha, Sung Min, et al.. (2018). Multivalent Binding of a Ligand-Coated Particle: Role of Shape, Size, and Ligand Heterogeneity. Biophysical Journal. 114(8). 1830–1846. 24 indexed citations
14.
Rathore, Saima, Spyridon Bakas, MacLean P. Nasrallah, et al.. (2018). Non-invasive determination of the O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status in glioblastoma (GBM) using magnetic resonance imaging (MRI).. Journal of Clinical Oncology. 36(15_suppl). 2051–2051. 5 indexed citations
15.
Ha, Sung Min, Yong Seok Kim, Sung‐Goo Lee, et al.. (2015). Thermally conductive polyamide 6/carbon filler composites based on a hybrid filler system. Science and Technology of Advanced Materials. 16(6). 65001–65001. 30 indexed citations
16.
Ha, Sung Min, Byoung Gak Kim, Yong Seok Kim, et al.. (2014). Thermal conductivity improvement of surface-enhanced polyetherimide (PEI) composites using polyimide-coated h-BN particles. Physical Chemistry Chemical Physics. 16(37). 20041–20041. 62 indexed citations
17.
Ha, Sung Min, Sung‐Goo Lee, Byoung Gak Kim, et al.. (2013). Thermal conductivity of graphite filled liquid crystal polymer composites and theoretical predictions. Composites Science and Technology. 88. 113–119. 60 indexed citations
18.
Yoo, Youngjae, et al.. (2013). Effect of graphite and carbon fiber contents on the morphology and properties of thermally conductive composites based on polyamide 6. Polymer International. 63(1). 151–157. 77 indexed citations
19.
Ha, Sung Min, et al.. (2012). Effects of 6-Week Self-Scapular Upward Rotation Exercise on Downward Pulling Tension in Subjects With Scapular Downward Rotation Syndrome. Physical Therapy Korea. 19(4). 32–37. 5 indexed citations
20.
Ha, Sung Min, Wei Yuan, Qibing Pei, Ronald Pelrine, & Scott Stanford. (2006). Interpenetrating Polymer Networks for High‐Performance Electroelastomer Artificial Muscles. Advanced Materials. 18(7). 887–891. 249 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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