Ho Gi Jung

2.4k total citations
92 papers, 1.8k citations indexed

About

Ho Gi Jung is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Ho Gi Jung has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 37 papers in Automotive Engineering and 24 papers in Media Technology. Recurrent topics in Ho Gi Jung's work include Video Surveillance and Tracking Methods (36 papers), Autonomous Vehicle Technology and Safety (35 papers) and Robotics and Sensor-Based Localization (21 papers). Ho Gi Jung is often cited by papers focused on Video Surveillance and Tracking Methods (36 papers), Autonomous Vehicle Technology and Safety (35 papers) and Robotics and Sensor-Based Localization (21 papers). Ho Gi Jung collaborates with scholars based in South Korea and Italy. Ho Gi Jung's co-authors include Jae Kyu Suhr, Jaihie Kim, Pal Joo Yoon, Pietro Cerri, Dong Suk Kim, Kyoungtaek Choi, Alberto Broggi, Paolo Grisleri, Stefano Ghidoni and Myoungho Sunwoo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ho Gi Jung

86 papers receiving 1.7k citations

Peers

Ho Gi Jung

CVPR

Jae Kyu Suhr South Korea

David Fernández Llorca Spain

I. Parra Spain

Stewart Worrall Australia

Sayanan Sivaraman United States

José María Armingol Spain

Pietro Cerri Italy

Hongkai Yu United States

Seiichi Mita Japan

Osama Masoud United States

Jae Kyu Suhr South Korea

Ho Gi Jung

690 ×0.6

CVPR

329 ×0.6

359 ×0.6

274 ×0.6

288 ×0.7

Citations per year, relative to Ho Gi Jung Ho Gi Jung (= 1×) peers Jae Kyu Suhr

Countries citing papers authored by Ho Gi Jung

Since Specialization

Citations

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

Fields of papers citing papers by Ho Gi Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Gi Jung. 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 Ho Gi Jung. The network helps show where Ho Gi Jung may publish in the future.

Co-authorship network of co-authors of Ho Gi Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Gi Jung. A scholar is included among the top collaborators of Ho Gi Jung 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 Ho Gi Jung. Ho Gi Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jung, Ho Gi, et al.. (2025). Precise Position Estimation of Road Users by Extracting Object-Specific Key Points for Embedded Edge Cameras. Electronics. 14(7). 1291–1291.

Hwang, Jun Young, et al.. (2024). Deep Neural Network-Based Flood Monitoring System Fusing RGB and LWIR Cameras for Embedded IoT Edge Devices. Remote Sensing. 16(13). 2358–2358. 3 indexed citations

Choi, Kyoungtaek, et al.. (2024). Real-Time Object Detection and Tracking Based on Embedded Edge Devices for Local Dynamic Map Generation. Electronics. 13(5). 811–811. 2 indexed citations

Jung, Ho Gi, et al.. (2024). Camera–LiDAR Calibration Using Iterative Random Sampling and Intersection Line-Based Quality Evaluation. Electronics. 13(2). 249–249. 2 indexed citations

Jung, Ho Gi, et al.. (2024). BGI-YOLO: Background Image-Assisted Object Detection for Stationary Cameras. Electronics. 14(1). 60–60.

Jung, Ho Gi, et al.. (2023). Semantic Segmentation Network Slimming and Edge Deployment for Real-Time Forest Fire or Flood Monitoring Systems Using Unmanned Aerial Vehicles. Electronics. 12(23). 4795–4795. 7 indexed citations

Jung, Ho Gi, et al.. (2023). CNN-Based Vehicle Bottom Face Quadrilateral Detection Using Surveillance Cameras for Intelligent Transportation Systems. Sensors. 23(15). 6688–6688. 3 indexed citations

Jung, Ho Gi, et al.. (2022). Improvement of Vehicle Position Estimation Using CNN-based Vehicle Bottom Face Center Detection. Transactions of Korean Society of Automotive Engineers. 30(7). 599–607. 1 indexed citations

Choi, Kyoungtaek, Jae Kyu Suhr, & Ho Gi Jung. (2021). Detection-Verification-Cascade-Based Low-Cost Precise Vehicle Positioning Exploiting Extended Digital Map. IEEE Access. 9. 11065–11079. 2 indexed citations

10.

Suhr, Jae Kyu, et al.. (2021). Application Requirement-Driven Automatic ISP Parameter Tuning for a Rear View Monitoring Camera. IEEE Access. 9. 82535–82549. 2 indexed citations

11.

Choi, Kyoungtaek, Jae Kyu Suhr, & Ho Gi Jung. (2020). In-Lane Localization and Ego-Lane Identification Method Based on Highway Lane Endpoints. Journal of Advanced Transportation. 2020. 1–16. 6 indexed citations

12.

Suhr, Jae Kyu & Ho Gi Jung. (2019). Rearview Camera-Based Stixel Generation for Backing Crash Prevention. IEEE Transactions on Intelligent Transportation Systems. 21(1). 117–134. 11 indexed citations

13.

Choi, Kyoungtaek, Jae Kyu Suhr, & Ho Gi Jung. (2019). Landmark Suitability Evaluation of Road Facilities in Highway for Monocular Camera-based Precise Vehicle Localization System. Transactions of Korean Society of Automotive Engineers. 27(4). 273–290. 3 indexed citations

14.

Jung, Ho Gi, et al.. (2019). Reduction of Particle Filtering Degeneracy Exploiting Lane Number from Digital Map. Transactions of Korean Society of Automotive Engineers. 27(5). 369–378. 1 indexed citations

15.

Suhr, Jae Kyu, et al.. (2018). Lane Endpoint Detection and Position Accuracy Evaluation for Sensor Fusion-Based Vehicle Localization on Highways. Sensors. 18(12). 4389–4389. 11 indexed citations

16.

Choi, Kyoungtaek, Jae Kyu Suhr, & Ho Gi Jung. (2018). FAST Pre-Filtering-Based Real Time Road Sign Detection for Low-Cost Vehicle Localization. Sensors. 18(10). 3590–3590. 7 indexed citations

17.

Choi, Kyoungtaek, Ho Gi Jung, & Jae Kyu Suhr. (2018). Automatic Calibration of an Around View Monitor System Exploiting Lane Markings. Sensors. 18(9). 2956–2956. 23 indexed citations

18.

Ra, Moonsoo, Ho Gi Jung, Jae Kyu Suhr, & Whoi-Yul Kim. (2018). Part-based vehicle detection in side-rectilinear images for blind-spot detection. Expert Systems with Applications. 101. 116–128. 22 indexed citations

19.

Suhr, Jae Kyu, Kwanghyuk Bae, Jaihie Kim, & Ho Gi Jung. (2007). Free Parking Space Detection Using Optical Flow-based Euclidean 3D Reconstruction. 563–566. 13 indexed citations

20.

Jung, Ho Gi, et al.. (2007). STEREO VISION-BASED FORWARD OBSTACLE DETECTION. International Journal of Automotive Technology. 8(4). 493–504. 20 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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