Sang‐Wook Kim

4.9k total citations · 1 hit paper
328 papers, 3.0k citations indexed

About

Sang‐Wook Kim is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sang‐Wook Kim has authored 328 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Information Systems, 130 papers in Artificial Intelligence and 85 papers in Computer Networks and Communications. Recurrent topics in Sang‐Wook Kim's work include Recommender Systems and Techniques (70 papers), Complex Network Analysis Techniques (54 papers) and Data Management and Algorithms (52 papers). Sang‐Wook Kim is often cited by papers focused on Recommender Systems and Techniques (70 papers), Complex Network Analysis Techniques (54 papers) and Data Management and Algorithms (52 papers). Sang‐Wook Kim collaborates with scholars based in South Korea, United States and China. Sang‐Wook Kim's co-authors include Dong‐Kyu Chae, Sanghyun Park, Wesley W. Chu, Yeon-Chang Lee, Sunju Park, Dongwon Lee, Wonseok Hwang, Bo Zhang, Jung‐Tae Lee and Jongwuk Lee and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Cancer Research.

In The Last Decade

Sang‐Wook Kim

289 papers receiving 2.9k citations

Hit Papers

A Survey of Graph Neural Networks for Social Recommender ... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Graph Neural Networks for Social Recommender Systems
    2024 56 citations Kartik Sharma, Yeon-Chang Lee et al. ACM Computing Surveys profile →

Peers

Sang‐Wook Kim
Amr Ahmed United States
Αλέξανδρος Νανόπουλος Germany
Nicholas Jing Yuan China
Hao Peng China
Carson K. Leung Canada
Jian Yang Australia
Yong Ge United States
K. Selçuk Candan United States
Vincenzo Moscato Italy
Alfredo Cuzzocrea Italy
Amr Ahmed United States
Sang‐Wook Kim
Citations per year, relative to Sang‐Wook Kim Sang‐Wook Kim (= 1×) peers Amr Ahmed

Countries citing papers authored by Sang‐Wook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Wook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Wook Kim. 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 Sang‐Wook Kim. The network helps show where Sang‐Wook Kim may publish in the future.

Co-authorship network of co-authors of Sang‐Wook Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Wook Kim. A scholar is included among the top collaborators of Sang‐Wook Kim 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 Sang‐Wook Kim. Sang‐Wook Kim 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.
Kim, Sang‐Wook, Minah Kim, Ji‐Su Lee, et al.. (2025). Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment. BMC Genomics. 26(1). 395–395.
2.
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Joo, Young Hoon, Sunghoon Kim, Yang Bin Jeon, & Sang‐Wook Kim. (2025). Postnasal drip syndrome: A new definition and successful oral gargling treatment. American Journal of Otolaryngology. 46(4). 104617–104617.
4.
5.
Sharma, Kartik, et al.. (2024). A Survey of Graph Neural Networks for Social Recommender Systems. ACM Computing Surveys. 56(10). 1–34. 56 indexed citations breakdown →
6.
Kim, Sang‐Wook, et al.. (2024). Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation. 3888–3899. 3 indexed citations
7.
Kim, Sang‐Wook, et al.. (2024). HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–34. 2 indexed citations
8.
9.
Lee, Yeon-Chang, et al.. (2024). Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. 1752–1762. 1 indexed citations
10.
Seo, Seung Young, et al.. (2023). HDAC inhibitor SB939 potentiates TRAIL-induced apoptosis in colorectal cancer cells. Cellular and Molecular Biology. 69(5). 12–18. 4 indexed citations
11.
Han, Kyungsik, et al.. (2023). KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. arXiv (Cornell University). 1572–1583. 7 indexed citations
12.
Zhu, Konglin, Zhicheng Chen, Lin Zhang, Yuan Zhang, & Sang‐Wook Kim. (2018). Geo-cascading and community-cascading in social networks: Comparative analysis and its implications to edge caching. Information Sciences. 436-437. 1–12. 5 indexed citations
13.
Lee, Yujin, et al.. (2017). Exploiting job transition patterns for effective job recommendation. 2414–2419. 4 indexed citations
14.
Kim, Sang‐Wook, et al.. (2016). Document Similarity Measure Based on the Earth Mover\'s Distance Utilizing Latent Dirichlet Allocation. Research Journal of Applied Sciences Engineering and Technology. 12(2). 214–222. 2 indexed citations
15.
Kim, Sang‐Wook, et al.. (2014). A Comparative Study of Vector Space and Probabilistic Models in Computing Similarity of Scientific Papers. 20(3). 186–190.
16.
Kim, Paul & Sang‐Wook Kim. (2011). 3D Visualization of Close-Relationship among Smartphone Users. 139–142. 2 indexed citations
17.
Kim, Soo‐Kang, et al.. (2007). P‐182: New Deep‐Blue EML Materials Based on Fully Substituted Ethylene and Anthracene Derivatives. SID Symposium Digest of Technical Papers. 38(1). 879–882. 4 indexed citations
18.
Kim, Sang‐Wook, et al.. (2006). Garbage Collection on the Embedded Java Virtual Machine. Journal of the Institute of Electronics Engineers of Korea. 43(3). 20–29.
19.
Kim, Hee Sun, et al.. (2001). The Design and Development of MPEG-4 Contents Authoring System. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 7(4). 309–316. 2 indexed citations
20.
Kim, Sang‐Wook, et al.. (1995). A New Algorithm for Processing Joins Using the Multilevel Grid File. 115–123. 6 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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