Jai E. Jung

779 total citations
23 papers, 562 citations indexed

About

Jai E. Jung is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Jai E. Jung has authored 23 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Sociology and Political Science. Recurrent topics in Jai E. Jung's work include Complex Network Analysis Techniques (6 papers), Web Data Mining and Analysis (4 papers) and Video Analysis and Summarization (4 papers). Jai E. Jung is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Web Data Mining and Analysis (4 papers) and Video Analysis and Summarization (4 papers). Jai E. Jung collaborates with scholars based in South Korea, Italy and Spain. Jai E. Jung's co-authors include Duc Thang Nguyen, Francesco Piccialli, O‐Joun Lee, David Camacho, Khac‐Hoai Nam Bui, Dosam Hwang, Salvatore Cuomo, Pasquale De Michele, Ardelio Galletti and Hoàng Long Nguyễn and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Jai E. Jung

22 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jai E. Jung South Korea	14	167	142	127	125	112	23	562
Jiamou Liu New Zealand	13	280 1.7×	203 1.4×	96 0.8×	94 0.8×	57 0.5×	96	692
Pramod Anantharam United States	11	171 1.0×	141 1.0×	124 1.0×	265 2.1×	72 0.6×	22	574
Wenjun Wang China	14	286 1.7×	111 0.8×	105 0.8×	87 0.7×	42 0.4×	122	757
Dongwen Zhang China	7	288 1.7×	104 0.7×	42 0.3×	85 0.7×	59 0.5×	15	558
Jaesoo Yoo South Korea	12	156 0.9×	178 1.3×	95 0.7×	289 2.3×	28 0.3×	158	588
Fiammetta Marulli Italy	14	214 1.3×	196 1.4×	128 1.0×	232 1.9×	65 0.6×	48	673
Xinjiang Lu China	13	211 1.3×	148 1.0×	65 0.5×	132 1.1×	55 0.5×	46	619
Jonghun Park South Korea	15	182 1.1×	113 0.8×	131 1.0×	102 0.8×	28 0.3×	68	690
Chao Shen United States	15	291 1.7×	134 0.9×	44 0.3×	91 0.7×	48 0.4×	36	607

Countries citing papers authored by Jai E. Jung

Since Specialization

Citations

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

Fields of papers citing papers by Jai E. Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai E. Jung. 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 Jai E. Jung. The network helps show where Jai E. Jung may publish in the future.

Co-authorship network of co-authors of Jai E. Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jai E. Jung. A scholar is included among the top collaborators of Jai E. Jung 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 Jai E. Jung. Jai E. Jung 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

Nguyễn, Hoàng Long, et al.. (2020). Multi-scaled Spatial Analytics on Discovering Latent Social Events for Smart Urban Services. JUCS - Journal of Universal Computer Science. 24. 322–337. 2 indexed citations

Nguyễn, Hoàng Long & Jai E. Jung. (2018). SocioScope: A framework for understanding Internet of Social Knowledge. Future Generation Computer Systems. 83. 358–365. 11 indexed citations

Lee, O‐Joun & Jai E. Jung. (2018). Owner-Borrower Model for Recommenders in O2O Services. Mobile Networks and Applications. 23(4). 1089–1096. 1 indexed citations

Nguyễn, Hoàng Long, et al.. (2017). Event-Driven Trust Refreshment on Ambient Services. IEEE Access. 5. 4664–4670. 13 indexed citations

Cuomo, Salvatore, Pasquale De Michele, Francesco Piccialli, Ardelio Galletti, & Jai E. Jung. (2017). IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario. Expert Systems with Applications. 79. 101–111. 73 indexed citations

Jung, Jai E., et al.. (2017). Mobile Application for Archaeological Site Image Content Retrieval and Automated Generating Image Descriptions with Neural Network. Mobile Networks and Applications. 22(4). 642–649. 9 indexed citations

Bui, Khac‐Hoai Nam, David Camacho, & Jai E. Jung. (2017). Real-Time Traffic Flow Management Based on Inter-Object Communication: a Case Study at Intersection. Mobile Networks and Applications. 22(4). 613–624. 28 indexed citations

Bui, Khac‐Hoai Nam, Jai E. Jung, & David Camacho. (2017). Game theoretic approach on Real‐time decision making for IoT‐based traffic light control. Concurrency and Computation Practice and Experience. 29(11). 40 indexed citations

Lee, O‐Joun, Hoàng Long Nguyễn, Jai E. Jung, Tai‐Won Um, & Hyun–Woo Lee. (2017). Towards Ontological Approach on Trust-Aware Ambient Services. IEEE Access. 5. 1589–1599. 21 indexed citations

10.

Jung, Jai E., et al.. (2016). A computational model of transmedia ecosystem for story-based contents. Multimedia Tools and Applications. 76(8). 10371–10388. 16 indexed citations

11.

Nguyen, Duc Thang & Jai E. Jung. (2016). Real-time event detection for online behavioral analysis of big social data. Future Generation Computer Systems. 66. 137–145. 91 indexed citations

12.

Camacho, David, et al.. (2016). Identifying and ranking cultural heritage resources on geotagged social media for smart cultural tourism services. Personal and Ubiquitous Computing. 21(2). 267–279. 37 indexed citations

13.

Chianese, Angelo, et al.. (2016). An associative engines based approach supporting collaborative analytics in the Internet of cultural things. Future Generation Computer Systems. 66. 187–198. 53 indexed citations

14.

Piccialli, Francesco & Jai E. Jung. (2016). Understanding Customer Experience Diffusion on Social Networking Services by Big Data Analytics. Mobile Networks and Applications. 22(4). 605–612. 30 indexed citations

15.

Nguyen, Long Hoang & Jai E. Jung. (2016). Statistical approach for figurative sentiment analysis on Social Networking Services: a case study on Twitter. Multimedia Tools and Applications. 76(6). 8901–8914. 14 indexed citations

16.

Jung, Jai E., Minsung Hong, & Long Hoang Nguyen. (2016). Serendipity-based storification: from lifelogging to storytelling. Multimedia Tools and Applications. 76(8). 10345–10356. 2 indexed citations

17.

Hwang, Dosam, et al.. (2016). Exploiting character networks for movie summarization. Multimedia Tools and Applications. 76(8). 10357–10369. 27 indexed citations

18.

Lee, O‐Joun & Jai E. Jung. (2016). Sequence Clustering-based Automated Rule Generation for Adaptive Complex Event Processing. Future Generation Computer Systems. 66. 100–109. 34 indexed citations

19.

Jung, Jai E.. (2016). Discovering Social Bursts by Using Link Analytics on Large-Scale Social Networks. Mobile Networks and Applications. 22(4). 625–633. 3 indexed citations

20.

Sohn, Bong-Soo & Jai E. Jung. (2014). A Novel Ranking Model for a Large-Scale Scientific Publication. Mobile Networks and Applications. 20(4). 508–520. 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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