Byung Tae Oh

503 total citations
43 papers, 341 citations indexed

About

Byung Tae Oh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Byung Tae Oh has authored 43 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 9 papers in Media Technology. Recurrent topics in Byung Tae Oh's work include Advanced Vision and Imaging (24 papers), Advanced Image Processing Techniques (18 papers) and Video Coding and Compression Technologies (16 papers). Byung Tae Oh is often cited by papers focused on Advanced Vision and Imaging (24 papers), Advanced Image Processing Techniques (18 papers) and Video Coding and Compression Technologies (16 papers). Byung Tae Oh collaborates with scholars based in South Korea, United States and Taiwan. Byung Tae Oh's co-authors include C.‐C. Jay Kuo, Du‐Sik Park, Kwan‐Jung Oh, Shawmin Lei, Ping-Hao Wu, Eunsung Oh, Yeping Su, Jitae Shin, Andrew Segall and Daniel Manchala and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Byung Tae Oh

36 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byung Tae Oh South Korea	9	312	141	86	23	18	43	341
Claude Labit France	12	346 1.1×	124 0.9×	38 0.4×	17 0.7×	19 1.1×	49	370
Haitao Yang China	10	400 1.3×	273 1.9×	44 0.5×	16 0.7×	16 0.9×	24	432
Dailan He China	5	384 1.2×	87 0.6×	34 0.4×	47 2.0×	11 0.6×	8	429
Meiqin Liu China	9	282 0.9×	30 0.2×	85 1.0×	14 0.6×	8 0.4×	39	318
Abdeslam Hmimid Morocco	15	472 1.5×	57 0.4×	106 1.2×	17 0.7×	41 2.3×	22	514
Qunliang Xing China	3	277 0.9×	156 1.1×	18 0.2×	11 0.5×	15 0.8×	5	315
J.N. Bradley United States	8	206 0.7×	111 0.8×	43 0.5×	28 1.2×	20 1.1×	21	269
Dũng Trung Võ United States	7	418 1.3×	64 0.5×	163 1.9×	5 0.2×	8 0.4×	29	449
Yu-Chuan Su United States	9	282 0.9×	19 0.1×	46 0.5×	25 1.1×	9 0.5×	22	311
Simon Hawe Germany	7	204 0.7×	33 0.2×	105 1.2×	18 0.8×	83 4.6×	11	265

Countries citing papers authored by Byung Tae Oh

Since Specialization

Citations

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

Fields of papers citing papers by Byung Tae Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung Tae Oh. 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 Byung Tae Oh. The network helps show where Byung Tae Oh may publish in the future.

Co-authorship network of co-authors of Byung Tae Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Byung Tae Oh. A scholar is included among the top collaborators of Byung Tae Oh 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 Byung Tae Oh. Byung Tae Oh 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

Oh, Byung Tae, et al.. (2024). A Deep Learning-Based Solar Power Generation Forecasting Method Applicable to Multiple Sites. Sustainability. 16(12). 5240–5240. 5 indexed citations

Oh, Byung Tae, et al.. (2024). Counter-act against GAN-based attacks: A collaborative learning approach for anti-forensic detection. Applied Soft Computing. 153. 111287–111287. 6 indexed citations

Oh, Kwan‐Jung, et al.. (2024). High-Bit-Depth Geometry Representation and Compression in MPEG Immersive Video System. IEEE Access. 12. 189064–189072.

Oh, Byung Tae, et al.. (2023). Deep learning-based counter anti-forensic of GAN-based attack in HEVC compressed domain using coding pattern analysis. Expert Systems with Applications. 233. 120912–120912. 1 indexed citations

Oh, Byung Tae, et al.. (2023). Enhanced Adversarial Attack for Avoidance of Fake Image Detection. Journal of Broadcast Engineering. 28(7). 859–866.

Oh, Byung Tae, et al.. (2023). A Robust Open-Set Multi-Instance Learning for Defending Adversarial Attacks in Digital Image. IEEE Transactions on Information Forensics and Security. 19. 2098–2111. 6 indexed citations

Oh, Byung Tae, et al.. (2023). Coarse-to-Fine Network-Based Intra Prediction in Versatile Video Coding. Sensors. 23(23). 9452–9452.

Lee, Jooyoung, et al.. (2023). An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines. IEEE Access. 11. 92443–92458. 2 indexed citations

Oh, Byung Tae, et al.. (2022). Incomplete Region Estimation and Restoration of 3D Point Cloud Human Face Datasets. Sensors. 22(3). 723–723. 7 indexed citations

10.

Oh, Byung Tae, et al.. (2022). Deep Learning-based Incomplete Regions Estimation and Restoration of 3D Human Face Point Cloud. 1–4. 1 indexed citations

11.

Oh, Byung Tae, et al.. (2022). Double compression detection in HEVC-coded video with the same coding parameters using picture partitioning information. Signal Processing Image Communication. 103. 116638–116638. 10 indexed citations

12.

Oh, Byung Tae, et al.. (2021). Analysis of generative adversarial network targeting anti-forensic in JPEG compressed domain. 73–73. 1 indexed citations

13.

Oh, Byung Tae, et al.. (2020). Video frame interpolation using deep cascaded network structure. Signal Processing Image Communication. 89. 115982–115982. 3 indexed citations

14.

Oh, Byung Tae, et al.. (2018). Detection of Frame Deletion Using Convolutional Neural Network. Journal of Broadcast Engineering. 23(6). 886–895.

15.

Oh, Byung Tae, et al.. (2017). Multi-Layer Frame Rate Up-Conversion Using Trilateral Filtering for Multi-View Video. IEEE Transactions on Circuits and Systems for Video Technology. 29(2). 283–292.

16.

Oh, Byung Tae, et al.. (2013). Fast joint bit-allocation between texture and depth maps for 3D video coding. 193–194. 1 indexed citations

17.

Oh, Byung Tae, et al.. (2012). Plane segmentation based intra prediction for depth map coding. 41–44. 14 indexed citations

18.

Oh, Byung Tae, et al.. (2011). Depth Map Coding Based on Synthesized View Distortion Function. IEEE Journal of Selected Topics in Signal Processing. 5(7). 1344–1352. 73 indexed citations

19.

Oh, Byung Tae, Shawmin Lei, & C.‐C. Jay Kuo. (2009). Advanced Film Grain Noise Extraction and Synthesis for High-Definition Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 19(12). 1717–1729. 15 indexed citations

20.

Oh, Byung Tae & C.‐C. Jay Kuo. (2009). New PAR/NL scheme for stochastic texture interpolation. 262–265. 1 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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