Suhwan Cho

505 total citations
20 papers, 251 citations indexed

About

Suhwan Cho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Suhwan Cho has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Suhwan Cho's work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Suhwan Cho is often cited by papers focused on Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Suhwan Cho collaborates with scholars based in South Korea. Suhwan Cho's co-authors include Sangyoun Lee, MyeongAh Cho, Chaewon Park, Minhyeok Lee, Taeoh Kim, Seunghoon Lee, Minjung Kim, Dogyoon Lee, Byeong‐Gyu Nam and Tae‐Young Chung and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and JSTS Journal of Semiconductor Technology and Science.

In The Last Decade

Suhwan Cho

19 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suhwan Cho South Korea	8	160	112	58	47	14	20	251
MyeongAh Cho South Korea	8	150 0.9×	158 1.4×	108 1.9×	68 1.4×	25 1.8×	17	260
Matt Ross Canada	3	111 0.7×	158 1.4×	78 1.3×	31 0.7×	6 0.4×	8	196
Wenqian Wang China	7	204 1.3×	137 1.2×	47 0.8×	70 1.5×	10 0.7×	22	265
Davide Abati Italy	4	106 0.7×	294 2.6×	146 2.5×	63 1.3×	53 3.8×	6	327
Neelu Madan Denmark	4	99 0.6×	216 1.9×	97 1.7×	24 0.5×	26 1.9×	6	257
Bingke Zhu China	8	218 1.4×	114 1.0×	17 0.3×	8 0.2×	5 0.4×	14	320
Sibo Song China	6	137 0.9×	52 0.5×	12 0.2×	26 0.6×	3 0.2×	8	184
Romero Morais Australia	4	127 0.8×	232 2.1×	113 1.9×	50 1.1×	26 1.9×	6	261
Akshay Raj Dhamija United States	7	127 0.8×	182 1.6×	13 0.2×	8 0.2×	4 0.3×	10	258
Mengran Gou United States	9	200 1.3×	64 0.6×	7 0.1×	59 1.3×	7 0.5×	11	263

Countries citing papers authored by Suhwan Cho

Since Specialization

Citations

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

Fields of papers citing papers by Suhwan Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhwan Cho

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

Cho, Suhwan, et al.. (2025). Effective SAM Combination for Open-Vocabulary Semantic Segmentation. 26081–26090. 1 indexed citations

Cho, Suhwan, et al.. (2025). Video Diffusion Models Are Strong Video Inpainter. Proceedings of the AAAI Conference on Artificial Intelligence. 39(4). 4526–4533.

Cho, Suhwan, et al.. (2024). LSHNet: Leveraging Structure-Prior With Hierarchical Features Updates for Salient Object Detection in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations

Cho, Suhwan, et al.. (2024). Dual Prototype Attention for Unsupervised Video Object Segmentation. 19238–19247. 7 indexed citations

Lee, Minhyeok, Suhwan Cho, Chaewon Park, et al.. (2024). Boundary-aware Camouflaged Object Detection via Deformable Point Sampling. 1–4. 1 indexed citations

Cho, Suhwan, et al.. (2024). Guided Slot Attention for Unsupervised Video Object Segmentation. 3807–3816. 6 indexed citations

Park, Chaewon, et al.. (2023). Two-Stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection. 1–5. 3 indexed citations

Lee, Minhyeok, et al.. (2023). Adaptive Graph Convolution Module for Salient Object Detection. 1395–1399. 2 indexed citations

Lee, Seunghoon, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, & Sangyoun Lee. (2023). Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation. 1535–1539. 4 indexed citations

10.

Park, Chaewon, et al.. (2023). FAPM: Fast Adaptive Patch Memory for Real-Time Industrial Anomaly Detection. 1–5. 29 indexed citations

11.

Cho, Suhwan, et al.. (2023). Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5129–5138. 29 indexed citations

12.

Lee, Minhyeok, Suhwan Cho, Seunghoon Lee, Chaewon Park, & Sangyoun Lee. (2023). Unsupervised Video Object Segmentation via Prototype Memory Network. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5913–5923. 27 indexed citations

13.

Lee, Minhyeok, et al.. (2023). Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition. 10221–10230. 16 indexed citations

14.

Cho, MyeongAh, et al.. (2022). Unsupervised video anomaly detection via normalizing flows with implicit latent features. Pattern Recognition. 129. 108703–108703. 71 indexed citations

15.

Lee, Minhyeok, Chaewon Park, Suhwan Cho, & Sangyoun Lee. (2022). Superpixel Group-Correlation Network for Co-Saliency Detection. 2022 IEEE International Conference on Image Processing (ICIP). 806–810. 4 indexed citations

16.

Cho, Suhwan, et al.. (2022). Pixel-Level Bijective Matching for Video Object Segmentation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1453–1462. 19 indexed citations

17.

Kim, Minjung, et al.. (2022). Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2719–2723. 17 indexed citations

18.

Cho, Suhwan, et al.. (2021). Ghost Graph Convolutional Network for Skeleton-based Action Recognition. 1–4. 3 indexed citations

19.

Cho, Suhwan, et al.. (2020). Crvos: Clue Refining Network For Video Object Segmentation. 2301–2305. 5 indexed citations

20.

Cho, Suhwan, et al.. (2017). Earliest Virtual Deadline Zero Laxity Scheduling for Improved Responsiveness of Mobile GPUs. JSTS Journal of Semiconductor Technology and Science. 17(1). 162–166. 3 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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