Kijung Shin

2.6k total citations
115 papers, 1.4k citations indexed

About

Kijung Shin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kijung Shin has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistical and Nonlinear Physics, 48 papers in Artificial Intelligence and 42 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kijung Shin's work include Complex Network Analysis Techniques (48 papers), Advanced Graph Neural Networks (32 papers) and Data Visualization and Analytics (17 papers). Kijung Shin is often cited by papers focused on Complex Network Analysis Techniques (48 papers), Advanced Graph Neural Networks (32 papers) and Data Visualization and Analytics (17 papers). Kijung Shin collaborates with scholars based in South Korea, United States and Canada. Kijung Shin's co-authors include Christos Faloutsos, Bryan Hooi, Neil Shah, Alex Beutel, Hyun Ah Song, U Kang, Tina Eliassi‐Rad, Lee Sael, Jisu Kim and Jinhong Jung and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and ACM Computing Surveys.

In The Last Decade

Kijung Shin

106 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kijung Shin South Korea 20 697 499 335 318 304 115 1.4k
Tianqi Chen China 19 717 1.0× 171 0.3× 243 0.7× 554 1.7× 574 1.9× 61 1.8k
Santosh Vempala United States 8 452 0.6× 247 0.5× 112 0.3× 276 0.9× 100 0.3× 8 1.0k
Aarti Singh United States 18 436 0.6× 107 0.2× 225 0.7× 141 0.4× 128 0.4× 66 947
Jiaming Xu United States 17 717 1.0× 248 0.5× 208 0.6× 197 0.6× 110 0.4× 69 1.2k
Md. Mostofa Ali Patwary United States 16 541 0.8× 168 0.3× 352 1.1× 464 1.5× 308 1.0× 28 1.1k
Praneeth Netrapalli United States 15 364 0.5× 143 0.3× 112 0.3× 262 0.8× 37 0.1× 44 1.1k
Rohan Varma United States 8 575 0.8× 260 0.5× 174 0.5× 201 0.6× 62 0.2× 20 872
Jared Saia United States 16 423 0.6× 158 0.3× 634 1.9× 75 0.2× 227 0.7× 65 1.1k

Countries citing papers authored by Kijung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Kijung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kijung Shin

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

All Works

20 of 20 papers shown
1.
2.
Kim, Sunwoo, Soo Yong Lee, Yue Gao, et al.. (2025). A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. 6829–6832.
3.
Kim, Taeuk, et al.. (2025). KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking. ArXiv.org. 3015–3019. 1 indexed citations
4.
Son, Seok‐Woo, et al.. (2024). Deep learning model for heavy rainfall nowcasting in South Korea. Weather and Climate Extremes. 44. 100652–100652. 5 indexed citations
5.
Kim, Sunwoo, et al.. (2024). Towards Better Utilization of Multiple Views for Bundle Recommendation. 3827–3831. 2 indexed citations
6.
Jung, Jinhong, et al.. (2024). ELiCiT: Effective and Lightweight Lossy Compression of Tensors. 171–180.
7.
8.
Shin, Kijung, et al.. (2024). Self-Guided Robust Graph Structure Refinement. 697–708. 2 indexed citations
9.
Kim, Sunwoo, Soo Yong Lee, Yue Gao, et al.. (2024). A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. 6534–6544. 11 indexed citations
10.
Shin, Kijung, et al.. (2024). Post-Training Embedding Enhancement for Long-Tail Recommendation. 3857–3861. 3 indexed citations
11.
Kim, Sunwoo, et al.. (2024). SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning. 1506–1517. 3 indexed citations
12.
Shin, Kijung, et al.. (2023). I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8456–8464. 21 indexed citations
13.
Tuan, Manh & Kijung Shin. (2023). Improving the core resilience of real-world hypergraphs. Data Mining and Knowledge Discovery. 37(6). 2438–2493. 1 indexed citations
14.
Shin, Kijung, et al.. (2023). Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1938–1947.
15.
Kim, Sunwoo, et al.. (2023). How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. arXiv (Cornell University). 1132–1143. 9 indexed citations
16.
Shin, Kijung, et al.. (2023). Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications. Data Mining and Knowledge Discovery. 37(6). 2389–2437. 6 indexed citations
17.
Kim, Hyunju, et al.. (2023). Hypergraph motifs and their extensions beyond binary. The VLDB Journal. 33(3). 625–665. 5 indexed citations
18.
Kim, Sunwoo, et al.. (2023). Classification of Edge-dependent Labels of Nodes in Hypergraphs. arXiv (Cornell University). 298–309. 6 indexed citations
19.
Shin, Kijung, et al.. (2000). Application of magnetoelastic strain sensors to smart actuators.. Journal of the Magnetics Society of Japan. 24(4−2). 975–978.
20.
Shin, Kijung, M. Inoue, & K.I. Arai. (1998). Properties of Elastically Coupled Magneto-Electric Elements. Journal of the Magnetics Society of Japan. 22(4_2). 697–700. 2 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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