Jitae Shin

2.1k total citations
123 papers, 1.2k citations indexed

About

Jitae Shin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jitae Shin has authored 123 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 46 papers in Computer Networks and Communications and 43 papers in Electrical and Electronic Engineering. Recurrent topics in Jitae Shin's work include Cooperative Communication and Network Coding (24 papers), Advanced Wireless Network Optimization (19 papers) and Advanced MIMO Systems Optimization (16 papers). Jitae Shin is often cited by papers focused on Cooperative Communication and Network Coding (24 papers), Advanced Wireless Network Optimization (19 papers) and Advanced MIMO Systems Optimization (16 papers). Jitae Shin collaborates with scholars based in South Korea, United States and Pakistan. Jitae Shin's co-authors include Tae Young Lee, Navrati Saxena, Abhishek Roy, Toan Duc Bui, C.‐C. Jay Kuo, Sang‐Tae Lee, Su Jeong Song, Ja‐Ling Wu, Jaehoon Jeong and Taesup Moon and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Jitae Shin

111 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jitae Shin South Korea	17	635	590	281	135	114	123	1.2k
Zeyad Ghaleb Al-Mekhlafi Saudi Arabia	19	352 0.6×	307 0.5×	181 0.6×	119 0.9×	77 0.7×	53	1.0k
Walter Stechele Germany	18	233 0.4×	434 0.7×	378 1.3×	24 0.2×	121 1.1×	146	1.1k
A. Ahilan India	15	97 0.2×	136 0.2×	264 0.9×	101 0.7×	55 0.5×	74	835
Javad Rahebi Türkiye	16	83 0.1×	188 0.3×	186 0.7×	188 1.4×	34 0.3×	75	759
Gangyong Jia China	17	467 0.7×	174 0.3×	113 0.4×	28 0.2×	17 0.1×	73	837
Fahad Taha AL‐Dhief Malaysia	21	253 0.4×	176 0.3×	233 0.8×	184 1.4×	319 2.8×	52	1.4k
El‐Bay Bourennane France	14	152 0.2×	191 0.3×	234 0.8×	30 0.2×	105 0.9×	99	712
Lorenzo Mucchi Italy	22	468 0.7×	1.1k 1.8×	112 0.4×	12 0.1×	100 0.9×	149	1.6k
Usman Habib Pakistan	14	104 0.2×	89 0.2×	255 0.9×	83 0.6×	42 0.4×	49	767
Necaattin Barışçı Türkiye	12	61 0.1×	120 0.2×	132 0.5×	120 0.9×	72 0.6×	57	525

Countries citing papers authored by Jitae Shin

Since Specialization

Citations

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

Fields of papers citing papers by Jitae Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitae Shin

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

Shin, Jitae, et al.. (2024). Robust Object Detection Using Depth from Monocular Camera for Feature Common Representation. 1–4.

Hwang, S. W., et al.. (2024). 3D Knee Structure Reconstruction from 2D X-rays Based on Generative Deep Learning Models. 1–5. 1 indexed citations

Song, Su Jeong, et al.. (2023). FundusGAN: Fundus image synthesis based on semi-supervised learning. Biomedical Signal Processing and Control. 86. 105289–105289. 6 indexed citations

Chun, Il Yong, et al.. (2023). Improved Test Input Prioritization Using Verification Monitors with False Prediction Cluster Centroids. Electronics. 13(1). 21–21. 1 indexed citations

Kim, Minjoo, et al.. (2023). A Deep Learning Model for Wafer Defect Map Classification: Perspective on Classification Performance and Computational Volume. physica status solidi (b). 261(1). 4 indexed citations

Shin, Jitae, et al.. (2023). Weakly supervised multi-class semantic video segmentation for road scenes. Computer Vision and Image Understanding. 230. 103664–103664. 6 indexed citations

Han, Jong Chul, et al.. (2023). Multimodal Deep Learning Model of Predicting Future Visual Field for Glaucoma Patients. IEEE Access. 11. 19049–19058. 7 indexed citations

Shin, Jitae, et al.. (2022). AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry Retrieval. Electronics. 11(8). 1275–1275. 1 indexed citations

Shah, Syed Attique, et al.. (2021). A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks. Vehicular Communications. 34. 100420–100420. 58 indexed citations

10.

Shin, Jitae, et al.. (2021). Future Image Synthesis for Diabetic Retinopathy Based on the Lesion Occurrence Probability. Electronics. 10(6). 726–726. 11 indexed citations

11.

Song, Su Jeong, et al.. (2020). Automatic Drusen Segmentation for Age-Related Macular Degeneration in Fundus Images Using Deep Learning. Electronics. 9(10). 1617–1617. 28 indexed citations

12.

Yang, Janghoon, et al.. (2020). Semi-Supervised FaceGAN for Face-Age Progression and Regression with Synthesized Paired Images. Electronics. 9(4). 603–603. 7 indexed citations

13.

Shin, Jitae, et al.. (2018). DNN Based Multi-spectrum Pedestrian Detection Method Using Color and Thermal Image. Journal of Broadcast Engineering. 23(3). 361–368.

14.

Jeong, Jaehoon, et al.. (2017). APRA: Affinity Propagation-Based Resource Allocation Scheme in M2M for System Capacity Maximization. IETE Journal of Research. 64(1). 36–50. 1 indexed citations

15.

Kim, Hyuntai, et al.. (2010). An analysis of hidden node problem in IEEE 802.11 multihop networks. 282–285. 13 indexed citations

16.

Shin, Jitae, et al.. (2006). Mathematical Analysis of H.264 Video Error-Control on Cross-Layer Framework. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 45–48. 4 indexed citations

17.

Shin, Jitae, et al.. (2003). Quality Enhancement of Video Services over QoS Controlled Networks. IEICE Transactions on Communications. 86(2). 562–571. 2 indexed citations

18.

Shin, Jitae, Daniel Lee, & C.‐C. Jay Kuo. (2003). Quality of service for internet multimedia. CERN Document Server (European Organization for Nuclear Research). 11 indexed citations

19.

Shin, Jitae. (2003). An Analysis of Aggregate-Traffic Marker for Multi-Service Networks. IEICE Transactions on Communications. 86(2). 674–681. 1 indexed citations

20.

Shin, Jitae, et al.. (2002). Analysis of 3GPP Core Network Architecture for IP Multimedia Service. 17(3). 41–52. 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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