Joon Jin Song

1.6k total citations
61 papers, 1.2k citations indexed

About

Joon Jin Song is a scholar working on Statistics and Probability, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Joon Jin Song has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 15 papers in Environmental Engineering and 10 papers in Molecular Biology. Recurrent topics in Joon Jin Song's work include Statistical Methods and Bayesian Inference (11 papers), Meteorological Phenomena and Simulations (8 papers) and Soil Moisture and Remote Sensing (8 papers). Joon Jin Song is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Meteorological Phenomena and Simulations (8 papers) and Soil Moisture and Remote Sensing (8 papers). Joon Jin Song collaborates with scholars based in United States, South Korea and China. Joon Jin Song's co-authors include Shaw‐Pin Miaou, Bani K. Mallick, Malay Ghosh, Erin M. Conlon, GyuWon Lee, Deukwoo Kwon, Walter Bottje, Ho‐Jin Lee, Victor De Oliveira and Anna Liu and has published in prestigious journals such as Technometrics, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Joon Jin Song

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Jin Song United States 18 432 230 228 125 113 61 1.2k
Prem K. Goel United States 22 167 0.4× 113 0.5× 119 0.5× 559 4.5× 109 1.0× 78 2.0k
Shaun S. Wulff United States 18 279 0.6× 31 0.1× 61 0.3× 28 0.2× 64 0.6× 90 963
Kimberly F. Sellers United States 14 86 0.2× 146 0.6× 53 0.2× 360 2.9× 36 0.3× 42 986
Alfonso Iodice D’Enza Italy 10 49 0.1× 99 0.4× 30 0.1× 15 0.1× 29 0.3× 20 1.3k
Bo Song China 12 104 0.2× 78 0.3× 84 0.4× 7 0.1× 39 0.3× 54 499
Giovanna Menardi Italy 8 37 0.1× 97 0.4× 14 0.1× 55 0.4× 32 0.3× 24 1.0k
Alex Goldstein United States 3 27 0.1× 35 0.2× 28 0.1× 31 0.2× 18 0.2× 4 1.2k
Gary S. Wasserman United States 21 157 0.4× 81 0.4× 8 0.0× 137 1.1× 38 0.3× 70 1.6k
Royce A. Francis United States 11 117 0.3× 29 0.1× 21 0.1× 30 0.2× 10 0.1× 34 1.2k
Jakob Richter Germany 8 25 0.1× 117 0.5× 9 0.0× 30 0.2× 53 0.5× 19 1.3k

Countries citing papers authored by Joon Jin Song

Since Specialization
Citations

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

Fields of papers citing papers by Joon Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Jin Song. 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 Joon Jin Song. The network helps show where Joon Jin Song may publish in the future.

Co-authorship network of co-authors of Joon Jin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Jin Song. A scholar is included among the top collaborators of Joon Jin Song 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 Joon Jin Song. Joon Jin Song 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.
Song, Joon Jin, et al.. (2025). Radar–Rain Gauge Merging for High-Spatiotemporal-Resolution Rainfall Estimation Using Radial Basis Function Interpolation. Remote Sensing. 17(3). 530–530. 4 indexed citations
2.
Ma, Yuhan, et al.. (2024). Spatial classification in the presence of measurement error. Spatial Statistics. 59. 100812–100812.
3.
Carmon, Nimrod, Alexander Berk, Niklas Bohn, et al.. (2023). Shape from spectra. Remote Sensing of Environment. 288. 113497–113497. 15 indexed citations
4.
Kim, Kwonil, et al.. (2023). Polarimetric Retrieval of Raindrop Size Distribution: Double‐Moment Normalization Approach and Machine Learning Techniques. Geophysical Research Letters. 51(1). 1 indexed citations
5.
Song, Joon Jin, et al.. (2019). A Bayesian nonparametric model for upper record data. Applied Mathematical Modelling. 71. 363–374.
6.
Song, Joon Jin, et al.. (2019). Student academic performance system: quantitative approaches to evaluating and monitoring student progress. 4(4). 332–332. 2 indexed citations
7.
Song, Joon Jin, et al.. (2018). A Bayesian two-part quantile regression model for count data with excess zeros. Statistical Modelling. 19(6). 653–673. 3 indexed citations
8.
Song, Joon Jin, et al.. (2018). Bayesian Correction for Misclassification in Multilevel Count Data Models. Computational and Mathematical Methods in Medicine. 2018. 1–6. 2 indexed citations
9.
Hwang, Paul S., et al.. (2017). Resistance Training–Induced Elevations in Muscular Strength in Trained Men Are Maintained After 2 Weeks of Detraining and Not Differentially Affected by Whey Protein Supplementation. The Journal of Strength and Conditioning Research. 31(4). 869–881. 13 indexed citations
10.
Zhou, Qi, et al.. (2017). Bayesian misclassification and propensity score methods for clustered observational studies. Journal of Applied Statistics. 45(9). 1547–1560.
12.
Lee, Jeong Yoon, Joon Jin Song, A. Woo-Ming, et al.. (2010). Transcriptional profiling of host gene expression in chicken embryo lung cells infected with laryngotracheitis virus. BMC Genomics. 11(1). 445–445. 33 indexed citations
13.
Oliveira, Victor De & Joon Jin Song. (2008). Bayesian analysis of simultaneous autoregressive models. 70. 323–350. 17 indexed citations
14.
Nam, Chang S. & Joon Jin Song. (2008). A Model-Based Risk Map for Roadway Traffic Crashes. 1 indexed citations
15.
Song, Joon Jin, Ho‐Jin Lee, Jeffrey S. Morris, & Sanghoon Kang. (2007). Clustering of time-course gene expression data using functional data analysis. Computational Biology and Chemistry. 31(4). 265–274. 34 indexed citations
16.
Conlon, Erin M., Joon Jin Song, & Jun S. Liu. (2006). Bayesian models for pooling microarray studies with multiple sources of replications. BMC Bioinformatics. 7(1). 247–247. 34 indexed citations
17.
Miaou, Shaw‐Pin & Joon Jin Song. (2005). Bayesian ranking of sites for engineering safety improvements: Decision parameter, treatability concept, statistical criterion, and spatial dependence. Accident Analysis & Prevention. 37(4). 699–720. 191 indexed citations
18.
Song, Joon Jin, et al.. (2005). PROVIDING PERSONALIZED TRAFFIC SAFETY INFORMATION TO THE PUBLIC: USING WEB-BASED GEOGRAPHICAL INFORMATION SYSTEM TECHNOLOGIES. 3 indexed citations
19.
Song, Joon Jin, Malay Ghosh, Shaw‐Pin Miaou, & Bani K. Mallick. (2005). Bayesian multivariate spatial models for roadway traffic crash mapping. Journal of Multivariate Analysis. 97(1). 246–273. 120 indexed citations
20.
Miaou, Shaw‐Pin, Joon Jin Song, & Bani K. Mallick. (2003). ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH. 6(1). 147 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026