SeungBeum Suh

643 total citations
20 papers, 485 citations indexed

About

SeungBeum Suh is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Biotechnology. According to data from OpenAlex, SeungBeum Suh has authored 20 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Biotechnology. Recurrent topics in SeungBeum Suh's work include Cancer Research and Treatments (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Robotic Path Planning Algorithms (6 papers). SeungBeum Suh is often cited by papers focused on Cancer Research and Treatments (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Robotic Path Planning Algorithms (6 papers). SeungBeum Suh collaborates with scholars based in South Korea, United States and Ethiopia. SeungBeum Suh's co-authors include Hanyoung Go, Myung‐Hwa Kang, Bahareh Behkam, Yeonsik Kang, Mahama A. Traoré, Bongsob Song, Ying Zhan, Veronica M. Ringel‐Scaia, Irving C. Allen and Ami Jo and has published in prestigious journals such as Advanced Materials, Bioinformatics and IEEE Transactions on Industrial Electronics.

In The Last Decade

SeungBeum Suh

19 papers receiving 468 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
SeungBeum Suh 185 121 92 84 61 20 485
Yijin Chen 50 0.3× 5 0.0× 199 2.2× 28 0.3× 9 0.1× 33 588
Garima Bhardwaj 169 0.9× 2 0.0× 108 1.2× 11 0.1× 12 0.2× 56 764
Sijie Wang 98 0.5× 15 0.1× 56 0.6× 10 0.1× 11 0.2× 40 563
Bogdan Cramariuc 136 0.7× 8 0.1× 46 0.5× 5 0.1× 15 0.2× 48 642
Yifen Li 68 0.4× 26 0.2× 73 0.8× 5 0.1× 10 0.2× 27 517
Salam Dhou 209 1.1× 5 0.0× 98 1.1× 5 0.1× 256 4.2× 53 919
Yuan Liang 136 0.7× 1 0.0× 108 1.2× 105 1.3× 17 0.3× 60 597
Anders Pettersson 240 1.3× 2 0.0× 29 0.3× 8 0.1× 10 0.2× 71 971

Countries citing papers authored by SeungBeum Suh

Since Specialization
Citations

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

Fields of papers citing papers by SeungBeum Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SeungBeum Suh

This figure shows the co-authorship network connecting the top 25 collaborators of SeungBeum Suh. A scholar is included among the top collaborators of SeungBeum Suh 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 SeungBeum Suh. SeungBeum Suh 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.
Jeon, Heung Jin, Deukhee Lee, Dong Ha Kim, et al.. (2025). Engineering Bacterial Secretion Systems for Enhanced Tumor Imaging and Surgical Guidance. Advanced Materials. 37(34). e2504389–e2504389. 1 indexed citations
2.
Jeon, Heung Jin, Deukhee Lee, Jung‐Hyun Lee, et al.. (2025). Engineering Bacterial Secretion Systems for Enhanced Tumor Imaging and Surgical Guidance (Adv. Mater. 34/2025). Advanced Materials. 37(34).
3.
Lee, Dohee, et al.. (2024). MotGen: a closed-loop bacterial motility control framework using generative adversarial networks. Bioinformatics. 40(4). 1 indexed citations
4.
Lee, Woosub, et al.. (2021). Standard for the Quantification of a Sterilization Effect Using an Artificial Intelligence Disinfection Robot. Sensors. 21(23). 7776–7776. 10 indexed citations
5.
Suh, SeungBeum, et al.. (2020). Multicolor fluorescence imaging using a single RGB-IR CMOS sensor for cancer detection with smURFP-labeled probiotics. Biomedical Optics Express. 11(6). 2951–2951. 11 indexed citations
6.
Suh, SeungBeum, et al.. (2020). Multicolor fluorescence imaging using a single RGB-IR CMOS sensor for cancer detection with smURFP-labeled probiotics: publisher’s note. Biomedical Optics Express. 11(12). 7324–7324. 1 indexed citations
7.
Ha, Junhyoung, et al.. (2020). Artificial Neural Network enabling Clinically Meaningful Biological Image Data Generation. PubMed. 2020. 2404–2407. 1 indexed citations
8.
Go, Hanyoung, Myung‐Hwa Kang, & SeungBeum Suh. (2020). Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge. Tourism Review. 75(4). 625–636. 132 indexed citations
9.
Kim, Seung-Won, et al.. (2018). Design And Experiment Of A Passive Sit-To-Stand And Walking (STSW) Assistance Device For The Elderly. 1781–1784. 8 indexed citations
10.
Suh, SeungBeum, et al.. (2018). Mathematical Modeling of Bacteria-Enabled Drug Delivery System Penetration into Multicellular Tumor Spheroids. PubMed. 2018. 6162–6165. 3 indexed citations
11.
Suh, SeungBeum, Ami Jo, Mahama A. Traoré, et al.. (2018). Nanoscale Bacteria‐Enabled Autonomous Drug Delivery System (NanoBEADS) Enhances Intratumoral Transport of Nanomedicine. Advanced Science. 6(3). 1801309–1801309. 151 indexed citations
12.
Suh, SeungBeum, et al.. (2017). Optimizing the restored chemotactic behavior of anticancer agent Salmonella enterica serovar Typhimurium VNP20009. Journal of Biotechnology. 251. 76–83. 22 indexed citations
13.
Suh, SeungBeum, Mahama A. Traoré, & Bahareh Behkam. (2016). Bacterial chemotaxis-enabled autonomous sorting of nanoparticles of comparable sizes. Lab on a Chip. 16(7). 1254–1260. 26 indexed citations
14.
Kang, Yeonsik, et al.. (2012). A Lidar-Based Decision-Making Method for Road Boundary Detection Using Multiple Kalman Filters. IEEE Transactions on Industrial Electronics. 59(11). 4360–4368. 90 indexed citations
15.
Suh, SeungBeum & Yeonsik Kang. (2011). A robust lane recognition technique for vision-based navigation with a multiple clue-based filtration algorithm. International Journal of Control Automation and Systems. 9(2). 348–357. 3 indexed citations
16.
Suh, SeungBeum, et al.. (2010). Autonomous Navigation of KUVE (KIST Unmanned Vehicle Electric). Journal of Institute of Control Robotics and Systems. 16(7). 617–624. 11 indexed citations
17.
Suh, SeungBeum, et al.. (2010). Sensor fusion-based line detection for unmanned navigation. 191–196. 5 indexed citations
18.
Choi, Junho, et al.. (2010). Design of mine detection robot for Korean mine field. 53–56. 4 indexed citations
19.
Suh, SeungBeum, et al.. (2010). Autonomous urban navigation and its application to patrol. 46–51. 3 indexed citations
20.
Suh, SeungBeum. (2009). Experiments of Urban Autonomous Navigation using Lane Tracking Control with Monocular Vision. Journal of Institute of Control Robotics and Systems. 15(5). 480–487. 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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