Jin-Hee Cho

5.8k total citations · 3 hit papers
172 papers, 3.6k citations indexed

About

Jin-Hee Cho is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Jin-Hee Cho has authored 172 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Networks and Communications, 54 papers in Artificial Intelligence and 39 papers in Sociology and Political Science. Recurrent topics in Jin-Hee Cho's work include Network Security and Intrusion Detection (43 papers), Mobile Ad Hoc Networks (34 papers) and Opportunistic and Delay-Tolerant Networks (27 papers). Jin-Hee Cho is often cited by papers focused on Network Security and Intrusion Detection (43 papers), Mobile Ad Hoc Networks (34 papers) and Opportunistic and Delay-Tolerant Networks (27 papers). Jin-Hee Cho collaborates with scholars based in United States, South Korea and Australia. Jin-Hee Cho's co-authors include Ing-Ray Chen, Fenye Bao, Moonjeong Chang, Ananthram Swami, Kevin Chan, Sibel Adalı, Terrence J. Moore, Ananthram Swami, Dong Seong Kim and Hyuk Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemistry of Materials.

In The Last Decade

Jin-Hee Cho

160 papers receiving 3.5k citations

Hit Papers

align trajectories

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.

A Survey on Trust Management for Mobile Ad Hoc Networks

2010 461 citations Jin-Hee Cho, Ing-Ray Chen et al. profile →
Hierarchical Trust Management for Wireless Sensor Networks and its Applications to Trust-Based Routing and Intrusion Detection

2012 323 citations Fenye Bao, Ing-Ray Chen et al. IEEE Transactions on Network and Service Management profile →
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense

2020 195 citations Jin-Hee Cho, Dilli Prasad Sharma et al. profile →

Peers

Countries citing papers authored by Jin-Hee Cho

Since Specialization

Citations

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

Fields of papers citing papers by Jin-Hee Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Hee Cho. 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 Jin-Hee Cho. The network helps show where Jin-Hee Cho may publish in the future.

Co-authorship network of co-authors of Jin-Hee Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Hee Cho. A scholar is included among the top collaborators of Jin-Hee Cho 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 Jin-Hee Cho. Jin-Hee Cho 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

#	Work	Indexed citations
1	Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations 2025 ·ISPRS International Journal of Geo-Information ·(unknown), (unknown), Jin-Hee Cho, (unknown), Junghwan Kim	0
2	Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization 2025 ·IEEE Transactions on Network Science and Engineering ·(unknown), (unknown), Lance Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho	1
3	Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks 2024 ·ACM Transactions on Intelligent Systems and Technology ·(unknown), Jin-Hee Cho, Ing-Ray Chen	0
4	Energy-Adaptive and Robust Monitoring for Smart Farms Based on Solar-Powered Wireless Sensors 2024 ·IEEE Internet of Things Journal ·(unknown), Qisheng Zhang, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho	4
5	Time-Based Moving Target Defense Using Bayesian Attack Graph Analysis 2023 ·IEEE Access ·(unknown), Euiseok Hwang, Dong Seong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim	4
6	Attack-Resistant, Energy-Adaptive Monitoring for Smart Farms: Uncertainty-Aware Deep Reinforcement Learning Approach 2023 ·IEEE Internet of Things Journal ·Qisheng Zhang, (unknown), (unknown), Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho	9
7	A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning 2023 ·IEEE Access ·(unknown), (unknown), Matthew Harrington, (unknown), (unknown), (unknown), Ali R. Butt, Jin-Hee Cho	15
8	Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned 2023 ·VTechWorks (Virginia Tech) ·Zhen Guo, (unknown), Jin-Hee Cho, Lifu Huang	0
9	Interactive Web-Based Visual Analysis on Network Traffic Data 2022 ·Information ·Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance Kaplan, Audun Jøsang, Soo-Yeon Ji	2
10	DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework 2022 ·IEEE Transactions on Network and Service Management ·(unknown), Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, (unknown), Hyuk Lim	21
11	A Survey on Centrality Metrics and Their Network Resilience Analysis 2021 ·IEEE Access ·(unknown), (unknown), (unknown), Terrence J. Moore, Jin-Hee Cho	57
12	DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework 2021 ·IEEE Access ·Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, (unknown), Hyuk Lim	18
13	Online Social Deception and Its Countermeasures: A Survey 2020 ·IEEE Access ·Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, (unknown)	21
14	Attack Graph-Based Moving Target Defense in Software-Defined Networks 2020 ·IEEE Transactions on Network and Service Management ·Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, (unknown), Hyuk Lim	49
15	Uncertainty Aware Semi-Supervised Learning on Graph Data 2020 ·Neural Information Processing Systems ·Xujiang Zhao, (unknown), Shu Hu, Jin-Hee Cho	1
16	FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks 2018 ·Dilli Prasad Sharma, Dong Seong Kim, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Terrence J. Moore	46
17	HBM (High Bandwidth Memory) DRAM Technology and Architecture 2017 ·Hong-Shin Jun, Jin-Hee Cho, (unknown), Hwa–Young Son, (unknown), (unknown), Keith Kim	143
18	Trust management in mobile ad hoc networks for bias minimization and application performance maximization 2014 ·Ad Hoc Networks ·Ing-Ray Chen, Jia Guo, Fenye Bao, Jin-Hee Cho	41
19	Finding true and credible information on Twitter 2014 ·International Conference on Information Fusion ·(unknown), Sibel Adalı, Md Tanvir Al Amin, Tarek Abdelzaher, Kevin Chan, Jin-Hee Cho, (unknown), John O’Donovan	12
20	Trust-Based Multi-objective Optimization for Node-to-Task Assignment in Coalition Networks 2013 ·Jin-Hee Cho, Ing-Ray Chen, Yating Wang, Kevin Chan	11

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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