Seungjoon Yang

916 total citations
54 papers, 636 citations indexed

About

Seungjoon Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Seungjoon Yang has authored 54 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 9 papers in Media Technology. Recurrent topics in Seungjoon Yang's work include Advanced Image Processing Techniques (27 papers), Image and Signal Denoising Methods (24 papers) and Advanced Vision and Imaging (15 papers). Seungjoon Yang is often cited by papers focused on Advanced Image Processing Techniques (27 papers), Image and Signal Denoising Methods (24 papers) and Advanced Vision and Imaging (15 papers). Seungjoon Yang collaborates with scholars based in South Korea and United States. Seungjoon Yang's co-authors include Rae‐Hong Park, Jaehan Jung, Donghyuk Shin, Yu Hen Hu, Jae Hwan Oh, Jae-Young Sim, Young Ho Lee, Sung‐Hee Lee, Youngshin Kwak and Jaehong Kim and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Optics Express.

In The Last Decade

Seungjoon Yang

49 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seungjoon Yang South Korea	12	546	187	161	36	28	54	636
Susu Yao Singapore	13	559 1.0×	110 0.6×	155 1.0×	23 0.6×	19 0.7×	39	627
Jianyi Wang China	9	496 0.9×	142 0.8×	77 0.5×	64 1.8×	29 1.0×	25	663
Liming Chen Taiwan	6	616 1.1×	74 0.4×	125 0.8×	71 2.0×	15 0.5×	17	750
Baoliang Chen Hong Kong	12	405 0.7×	103 0.6×	77 0.5×	40 1.1×	38 1.4×	40	503
Sung-Jea Ko South Korea	13	555 1.0×	150 0.8×	249 1.5×	15 0.4×	87 3.1×	36	637
Kwanghoon Sohn South Korea	16	514 0.9×	247 1.3×	82 0.5×	45 1.3×	10 0.4×	58	625
Erik Hjelmås United Kingdom	3	580 1.1×	58 0.3×	98 0.6×	46 1.3×	23 0.8×	3	649
Zhengzhong Tu United States	11	565 1.0×	185 1.0×	44 0.3×	66 1.8×	34 1.2×	30	697
K. Sobottka Switzerland	8	561 1.0×	68 0.4×	72 0.4×	36 1.0×	14 0.5×	15	646
Xilin Chen China	10	929 1.7×	100 0.5×	241 1.5×	87 2.4×	27 1.0×	18	1.1k

Countries citing papers authored by Seungjoon Yang

Since Specialization

Citations

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

Fields of papers citing papers by Seungjoon Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungjoon Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Seungjoon Yang. A scholar is included among the top collaborators of Seungjoon Yang 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 Seungjoon Yang. Seungjoon Yang 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

Kim, Seok, et al.. (2022). Online Safety Zone Estimation and Violation Detection for Nonstationary Objects in Workplaces. IEEE Access. 10. 39769–39781. 3 indexed citations

Jang, Jinhyeok, et al.. (2020). Deep neural networks with a set of node-wise varying activation functions. Neural Networks. 126. 118–131. 8 indexed citations

Jang, Jinhyeok, et al.. (2020). Efficient architecture for deep neural networks with heterogeneous sensitivity. Neural Networks. 134. 95–106. 2 indexed citations

Lee, Hee-Kyung, et al.. (2019). Moving Object Preserving Seamline Estimation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 24(6). 992–1001. 1 indexed citations

Yang, Seungjoon, et al.. (2018). Non-stationary deep network for restoration of non-Stationary lens blur. Pattern Recognition Letters. 108. 62–69. 2 indexed citations

Kim, Garam, Seungjoon Yang, & Jae-Young Sim. (2017). Saliency‐based initialisation of Gaussian mixture models for fully‐automatic object segmentation. Electronics Letters. 53(25). 1648–1649. 3 indexed citations

Yang, Seungjoon. (2011). Reduced reference MPEG-2 picture quality measure based on ratio of DCT coefficients. Electronics Letters. 47(6). 382–383. 13 indexed citations

Lee, Hyun Young, et al.. (2009). A wavelet packet-based noise reduction algorithm of NTSC images using CVBS characteristics. IEEE Transactions on Consumer Electronics. 55(4). 2407–2415. 5 indexed citations

Park, Rae‐Hong, et al.. (2006). Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid. EURASIP Journal on Advances in Signal Processing. 2006(1). 8 indexed citations

10.

Kim, Doo-Hyun, Rae‐Hong Park, & Seungjoon Yang. (2006). Noise reduction of image sequences using H. 264/AVC variable block-size motion compensation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 50. 387–388. 1 indexed citations

11.

Yang, Seungjoon, et al.. (2005). Bilateral interpolation filters for image size conversion. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 58. II–986. 10 indexed citations

12.

Park, Rae‐Hong, et al.. (2005). Super-resolution using POCS-based reconstruction with artifact reduction constraints. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5960. 59605B–59605B. 5 indexed citations

13.

Shin, Dong-hyuk, Rae‐Hong Park, Seungjoon Yang, & Jaehan Jung. (2005). Block-based noise estimation using adaptive Gaussian filtering. 263–264. 4 indexed citations

14.

Yang, Seungjoon, et al.. (2004). Motion compensation assisted motion adaptive interlaced-to-progressive conversion. 3. II–909.

15.

Yang, Seungjoon, et al.. (2003). An effective de-interlacing technique using two types of motion information. IEEE Transactions on Consumer Electronics. 49(3). 493–498. 20 indexed citations

16.

Lee, Sung‐Hee, et al.. (2002). Adaptive motion-compensated interpolation for frame rate up-conversion. IEEE Transactions on Consumer Electronics. 48(3). 444–450. 33 indexed citations

17.

Yang, Seungjoon & Yu Hen Hu. (2002). Blocking effect removal using regularization and dithering. 1. 415–419. 3 indexed citations

18.

Lee, SH & Seungjoon Yang. (2002). Adaptive motion-compensated frame rate up-conversion. Electronics Letters. 38(10). 451–452. 5 indexed citations

19.

Yang, Seungjoon & Yu Hen Hu. (2002). Coding artifacts removal using biased anisotropic diffusion. 346–349. 5 indexed citations

20.

Yang, Seungjoon, et al.. (1999). Blocking effect removal using robust statistics and line process. 315–320. 7 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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