Minsung Hong

556 total citations
32 papers, 368 citations indexed

About

Minsung Hong is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minsung Hong has authored 32 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minsung Hong's work include Recommender Systems and Techniques (20 papers), Digital Marketing and Social Media (6 papers) and Tensor decomposition and applications (5 papers). Minsung Hong is often cited by papers focused on Recommender Systems and Techniques (20 papers), Digital Marketing and Social Media (6 papers) and Tensor decomposition and applications (5 papers). Minsung Hong collaborates with scholars based in South Korea, Norway and Spain. Minsung Hong's co-authors include Jason J. Jung, Rajendra Akerkar, Francesco Piccialli, Angelo Chianese, Luong Vuong Nguyen, Bong-Soo Sohn, Haoran Zhang, David Camacho, Alexander R. Schmidt and Ning Xu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Minsung Hong

28 papers receiving 355 citations

Peers

Minsung Hong

CVPR

SPS

CNC

Jiangzhou Deng China

Inay Ha South Korea

Ana Peleteiro Spain

Fernando Díez Spain

Aminu Da’u Malaysia

Sheetal Girase India

Zhijun Zhang China

Yu Lei Hong Kong

Ioannis Boutsis Greece

Jiangzhou Deng China

Minsung Hong

243 ×1.2

122 ×1.1

110 ×1.3

CVPR

54 ×0.8

SPS

46 ×0.9

CNC

Citations per year, relative to Minsung Hong Minsung Hong (= 1×) peers Jiangzhou Deng

Countries citing papers authored by Minsung Hong

Since Specialization

Citations

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

Fields of papers citing papers by Minsung Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsung Hong

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

Hong, Minsung, Namho Chung, & Chulmo Koo. (2023). Tourism recommendation based on word embedding from card transaction data. Computer Science and Information Systems. 20(3). 911–931. 1 indexed citations

Hong, Minsung, et al.. (2022). DSER: Deep-Sequential Embedding for single domain Recommendation. Expert Systems with Applications. 208. 118156–118156. 6 indexed citations

Hong, Minsung & Jason J. Jung. (2021). ClustPTF: Clustering-based parallel tensor factorization for the diverse multi-criteria recommendation. Electronic Commerce Research and Applications. 47. 101041–101041. 5 indexed citations

Nguyen, Luong Vuong, Minsung Hong, Jason J. Jung, & Bong-Soo Sohn. (2020). Cognitive Similarity-Based Collaborative Filtering Recommendation System. Applied Sciences. 10(12). 4183–4183. 47 indexed citations

Hong, Minsung, et al.. (2020). Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System. Sensors. 20(9). 2510–2510. 11 indexed citations

Hong, Minsung & Jason J. Jung. (2020). Multi-criteria tensor model for tourism recommender systems. Expert Systems with Applications. 170. 114537–114537. 39 indexed citations

Hong, Minsung & Rajendra Akerkar. (2019). Victim detection platform in IoT paradigm. Concurrency and Computation Practice and Experience. 33(3). 4 indexed citations

Hong, Minsung, et al.. (2019). Effects of Grit and Conscientiousness on Academic Performance : The Mediation Effects of Self-Determination Motivation. Journal of the Korean Chemical Society. 10(10). 143–151. 3 indexed citations

Xu, Ning, Qiong Zhang, Haoran Zhang, et al.. (2019). Global optimization for multi-stage construction of rescue units in disaster response. Sustainable Cities and Society. 51. 101768–101768. 24 indexed citations

10.

Hong, Minsung, et al.. (2018). LEVERAGING BIG DATA TO MANAGE TRANSPORT OPERATIONS. Zenodo (CERN European Organization for Nuclear Research). 2018. 1 indexed citations

11.

Hong, Minsung, et al.. (2018). An Integrated Crowdsourced Framework for Disaster Relief Distribution. Zenodo (CERN European Organization for Nuclear Research). 2. 1–4. 4 indexed citations

12.

Hong, Minsung & Jason J. Jung. (2018). Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project. Cybernetics & Systems. 49(5-6). 384–398. 2 indexed citations

13.

Hong, Minsung, Jason J. Jung, & David Camacho. (2017). GRSAT: A Novel Method on Group Recommendation by Social Affinity and Trustworthiness. Cybernetics & Systems. 48(3). 140–161. 17 indexed citations

14.

Han, Jooman, Minsung Hong, Jason J. Jung, & David Camacho. (2017). Metaheuristic approach on temporal pattern matching for box office prediction. 1–3. 1 indexed citations

15.

Hong, Minsung, Jason J. Jung, Francesco Piccialli, & Angelo Chianese. (2016). Social recommendation service for cultural heritage. Personal and Ubiquitous Computing. 21(2). 191–201. 54 indexed citations

16.

Hong, Minsung & Jason J. Jung. (2016). MyMovieHistory: Social Recommender System by Discovering Social Affinities Among Users. Cybernetics & Systems. 47(1-2). 88–110. 23 indexed citations

17.

Hong, Minsung, et al.. (2014). Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. Journal of the Korea Society of Computer and Information. 19(8). 83–93. 1 indexed citations

18.

Park, Seung-Bo, et al.. (2014). Collaborative Script Analysis Platform for Cinemetrics Based on Story. 29–32.

19.

Lee, O‐Joun, Minsung Hong, Won Jin Lee, & Jae-Dong Lee. (2014). Scalable Collaborative Filtering Technique based on Adaptive Clustering. Journal of Intelligence and Information Systems. 20(2). 73–92. 3 indexed citations

20.

Hong, Minsung, et al.. (2013). A method of determining the user's state of movement based on the smart device usage. Journal of the Korea Industrial Information Systems Research. 18(6). 51–59. 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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