Soo-Mi Choi

2.9k total citations
124 papers, 1.9k citations indexed

About

Soo-Mi Choi is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Soo-Mi Choi has authored 124 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 27 papers in Global and Planetary Change and 20 papers in Environmental Engineering. Recurrent topics in Soo-Mi Choi's work include Augmented Reality Applications (18 papers), Flood Risk Assessment and Management (18 papers) and Hydrology and Watershed Management Studies (11 papers). Soo-Mi Choi is often cited by papers focused on Augmented Reality Applications (18 papers), Flood Risk Assessment and Management (18 papers) and Hydrology and Watershed Management Studies (11 papers). Soo-Mi Choi collaborates with scholars based in South Korea, Iran and United States. Soo-Mi Choi's co-authors include Abolghasem Sadeghi‐Niaraki, Seyed Vahid Razavi-Termeh, Hung‐Suck Park, Anthony S.F. Chiu, Eldon R. Rene, Mohammadreza Jelokhani‐Niaraki, Alireza Abbasi, Tamer Abuhmed, Babak Ranjgar and Vijay P. Singh and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Soo-Mi Choi

110 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo-Mi Choi South Korea 23 446 382 293 211 202 124 1.9k
Bauke de Vries Netherlands 32 761 1.7× 558 1.5× 179 0.6× 126 0.6× 162 0.8× 165 4.0k
Abolghasem Sadeghi‐Niaraki South Korea 28 517 1.2× 434 1.1× 308 1.1× 172 0.8× 64 0.3× 157 2.8k
Mohamed Marzouk Egypt 37 131 0.3× 419 1.1× 104 0.4× 48 0.2× 507 2.5× 241 5.3k
Yosoon Choi South Korea 35 196 0.4× 631 1.7× 294 1.0× 101 0.5× 136 0.7× 206 4.0k
Fábio Duarte United States 26 414 0.9× 396 1.0× 213 0.7× 27 0.1× 55 0.3× 141 2.8k
Sisi Zlatanova Netherlands 37 429 1.0× 1.3k 3.4× 660 2.3× 62 0.3× 165 0.8× 340 6.0k
Hyoungkwan Kim South Korea 38 107 0.2× 286 0.7× 642 2.2× 172 0.8× 332 1.6× 130 4.6k
Christopher Pettit Australia 32 854 1.9× 150 0.4× 215 0.7× 145 0.7× 55 0.3× 188 3.0k
Incheol Kim South Korea 13 118 0.3× 149 0.4× 228 0.8× 44 0.2× 46 0.2× 99 1.7k
Yi Tan China 28 127 0.3× 613 1.6× 325 1.1× 69 0.3× 320 1.6× 77 2.6k

Countries citing papers authored by Soo-Mi Choi

Since Specialization
Citations

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

Fields of papers citing papers by Soo-Mi Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo-Mi Choi. 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 Soo-Mi Choi. The network helps show where Soo-Mi Choi may publish in the future.

Co-authorship network of co-authors of Soo-Mi Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Soo-Mi Choi. A scholar is included among the top collaborators of Soo-Mi Choi 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 Soo-Mi Choi. Soo-Mi Choi 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.
Razavi-Termeh, Seyed Vahid, et al.. (2025). Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping. International Journal of Applied Earth Observation and Geoinformation. 136. 104357–104357. 7 indexed citations
2.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Farman Ali, Saied Pirasteh, & Soo-Mi Choi. (2025). Enhancing land subsidence susceptibility mapping using deep tabular learning optimization with metaheuristic algorithms. Gondwana Research. 148. 53–76.
3.
Razavi-Termeh, Seyed Vahid, et al.. (2025). Spatially explicit and interpretable GeoAI models for understanding factors controlling groundwater availability. Journal of Hydrology. 665. 134683–134683.
4.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Armin Sorooshian, Tamer Abuhmed, & Soo-Mi Choi. (2024). Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model. Journal of Environmental Management. 358. 120682–120682. 8 indexed citations
5.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Farman Ali, Rizwan Ali Naqvi, & Soo-Mi Choi. (2024). Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques. Journal of Hydrology. 648. 132337–132337. 4 indexed citations
6.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Xiaobai Yao, Rizwan Ali Naqvi, & Soo-Mi Choi. (2024). Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach. Journal of Environmental Management. 370. 122361–122361. 6 indexed citations
7.
Sadeghi‐Niaraki, Abolghasem, et al.. (2023). Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models. Journal of Marine Science and Engineering. 11(6). 1136–1136. 10 indexed citations
8.
Razavi-Termeh, Seyed Vahid, et al.. (2023). People's olfactory perception potential mapping using a machine learning algorithm: A Spatio-temporal approach. Sustainable Cities and Society. 93. 104472–104472. 19 indexed citations
9.
Razavi-Termeh, Seyed Vahid, et al.. (2023). A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping. Stochastic Environmental Research and Risk Assessment. 39(10). 4269–4294. 9 indexed citations
10.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, & Soo-Mi Choi. (2023). A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping. Journal of Environmental Management. 345. 118790–118790. 18 indexed citations
11.
Razavi-Termeh, Seyed Vahid, et al.. (2023). Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset. Forests. 14(7). 1325–1325. 20 indexed citations
12.
Razavi-Termeh, Seyed Vahid, et al.. (2023). Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm. Frontiers in Environmental Science. 11. 10 indexed citations
13.
Choi, Soo-Mi, et al.. (2022). Combining Augmented and Virtual Reality Experiences for Immersive Fire Drills. 1–2. 1 indexed citations
14.
Sadeghi‐Niaraki, Abolghasem, et al.. (2022). Ubiquitous Tourist System Based on Multicriteria Decision Making and Augmented Reality. Applied Sciences. 12(10). 5241–5241. 7 indexed citations
15.
Choi, Soo-Mi, et al.. (2021). Multi-User Drone Flight Training in Mixed Reality. Electronics. 10(20). 2521–2521. 5 indexed citations
16.
Choi, Soo-Mi, et al.. (2020). An Aerial Mixed-Reality Environment for First-Person-View Drone Flying. Applied Sciences. 10(16). 5436–5436. 20 indexed citations
17.
Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, & Soo-Mi Choi. (2019). Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models. Water. 11(8). 1596–1596. 81 indexed citations
18.
Abbasi, Alireza, Abolghasem Sadeghi‐Niaraki, Mahdi Jalili, & Soo-Mi Choi. (2018). Enhancing response coordination through the assessment of response network structural dynamics. PLoS ONE. 13(2). e0191130–e0191130. 22 indexed citations
19.
Choi, Soo-Mi. (2010). Subsurface scattering in point-based rendering. Chinese Science Bulletin. 55(23). 2598–2598. 1 indexed citations
20.
Behr, Johannes, et al.. (2000). 3D Modellierung zur Diagnose und Behandlungsplanung in der Kardiologie. Der Radiologe. 40(3). 256–261. 2 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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