Jihwan Jeong

618 total citations · 1 hit paper
8 papers, 356 citations indexed

About

Jihwan Jeong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jihwan Jeong has authored 8 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Jihwan Jeong's work include Domain Adaptation and Few-Shot Learning (2 papers), Network Security and Intrusion Detection (2 papers) and Advanced Malware Detection Techniques (2 papers). Jihwan Jeong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Network Security and Intrusion Detection (2 papers) and Advanced Malware Detection Techniques (2 papers). Jihwan Jeong collaborates with scholars based in South Korea and Canada. Jihwan Jeong's co-authors include Zheda Mai, Scott Sanner, Hyunwoo Kim, Ruiwen Li, Jongseong Jang, Heejo Lee, Je-Hyun Lee, Chong‐Min Kyung, Jonghoon Kwon and Hayong Shin and has published in prestigious journals such as Neurocomputing, Computers & Industrial Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jihwan Jeong

7 papers receiving 349 citations

Hit Papers

align trajectories sort by overperformance

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.

Online continual learning in image classification: An empirical survey

2021 229 citations Zheda Mai, Ruiwen Li et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jihwan Jeong South Korea	5	280	163	34	28	23	8	356
Benteng Ma China	8	185 0.7×	111 0.7×	20 0.6×	22 0.8×	27 1.2×	20	322
Timur Garipov Russia	4	260 0.9×	179 1.1×	23 0.7×	24 0.9×	22 1.0×	9	391
Kan Chen China	8	166 0.6×	151 0.9×	17 0.5×	28 1.0×	23 1.0×	29	333
Liangliang Li China	6	250 0.9×	118 0.7×	24 0.7×	28 1.0×	8 0.3×	13	327
Zheda Mai Canada	8	428 1.5×	272 1.7×	52 1.5×	29 1.0×	17 0.7×	15	549
Saurav Kadavath United States	2	429 1.5×	346 2.1×	48 1.4×	21 0.8×	15 0.7×	2	580
Haoli Bai China	10	229 0.8×	163 1.0×	10 0.3×	37 1.3×	18 0.8×	26	334
Ruoxi Sun China	5	271 1.0×	198 1.2×	31 0.9×	8 0.3×	12 0.5×	8	363
Norman Mu United States	3	407 1.5×	361 2.2×	48 1.4×	21 0.8×	13 0.6×	6	570

Countries citing papers authored by Jihwan Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Jihwan Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihwan Jeong

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

All Works

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8 of 8 papers shown

1.

Jeong, Jihwan, et al.. (2022). A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9894–9901.

2.

Mai, Zheda, et al.. (2021). Online Class-Incremental Continual Learning with Adversarial Shapley Value. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 9630–9638. 99 indexed citations

3.

Mai, Zheda, et al.. (2021). Online continual learning in image classification: An empirical survey. Neurocomputing. 469. 28–51. 229 indexed citations breakdown →

4.

Jeong, Jihwan & Hayong Shin. (2021). Bayesian optimization for a multiple-component system with target values. Computers & Industrial Engineering. 157. 107310–107310. 6 indexed citations

5.

Jeong, C. & Jihwan Jeong. (2020). A Study on the Method of Implementing an AI Chatbot to Respond to the POST COVID-19 Untact Era. Journal of the Korea society of IT services. 19(4). 31–47. 3 indexed citations

6.

Jeong, Jihwan, et al.. (2014). MysteryChecker: Unpredictable attestation to detect repackaged malicious applications in Android. 4. 50–57. 3 indexed citations

7.

Kwon, Jonghoon, Jihwan Jeong, Je-Hyun Lee, & Heejo Lee. (2014). DroidGraph: discovering Android malware by analyzing semantic behavior. 1. 498–499. 10 indexed citations

8.

Jeong, Jihwan & Chong‐Min Kyung. (1991). Finding optimal module orientation in macro cell placement. 3118–3121 vol.5. 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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