Yohan Park

2.0k total citations · 2 hit papers
71 papers, 1.5k citations indexed

About

Yohan Park is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yohan Park has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 36 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Yohan Park's work include Advanced Authentication Protocols Security (33 papers), User Authentication and Security Systems (32 papers) and Biometric Identification and Security (13 papers). Yohan Park is often cited by papers focused on Advanced Authentication Protocols Security (33 papers), User Authentication and Security Systems (32 papers) and Biometric Identification and Security (13 papers). Yohan Park collaborates with scholars based in South Korea, India and United States. Yohan Park's co-authors include Youngho Park, Joonyoung Lee, Seunghwan Son, Kisung Park, Ashok Kumar Das, Sungjin Yu, Deokkyu Kwon, Sewan Choi, Myeonghyun Kim and Jihyeon Oh and has published in prestigious journals such as Advanced Energy Materials, Scientific Reports and Journal of Materials Chemistry A.

In The Last Decade

Yohan Park

63 papers receiving 1.4k 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.

Design of Blockchain-Based Lightweight V2I Handover Authentication Protocol for VANET

2022 162 citations Seunghwan Son, Joonyoung Lee et al. profile →
Design of Secure Mutual Authentication Scheme for Metaverse Environments Using Blockchain

2022 116 citations Seunghwan Son, Joonyoung Lee et al. IEEE Access profile →

Peers

Yohan Park

IS

CNC

EEE

AI

SP

Joonyoung Lee South Korea

Kisung Park South Korea

Xiang Lu China

Zhenglin Liu China

Seunghwan Son South Korea

Ming Wen China

Xiaobo Zhou China

Xuandong Li China

Jun Han South Korea

Yuan‐Cheng Lai Taiwan

Joonyoung Lee South Korea

Yohan Park

1.1k ×1.3

IS

930 ×1.2

CNC

508 ×1.2

EEE

363 ×1.2

AI

178 ×0.9

SP

Citations per year, relative to Yohan Park Yohan Park (= 1×) peers Joonyoung Lee

Countries citing papers authored by Yohan Park

Since Specialization

Citations

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

Fields of papers citing papers by Yohan Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohan Park

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Park, Yohan, et al.. (2025). Data-Driven Optimization of Healthcare Recommender System Retraining Pipelines in MLOps with Wearable IoT Data. Sensors. 25(20). 6369–6369.

2.

Kwon, Deokkyu, et al.. (2025). PLAKA-MD: PUF-Based Lightweight Authentication and Key Agreement Scheme for Medical Devices in IoHT. IEEE Internet of Things Journal. 12(12). 19338–19353. 3 indexed citations

3.

Park, Hyewon, et al.. (2024). Blockchain-Assisted Secure and Lightweight Authentication Scheme for Multi-Server Internet of Drones Environments. Mathematics. 12(24). 3965–3965. 2 indexed citations

4.

Park, Yohan, et al.. (2024). ProAdaFS: Probabilistic and Adaptive Feature Selection in Deep Recommendation Systems. 756–761. 3 indexed citations

5.

Park, Hyewon, et al.. (2024). Provably Quantum Secure Three-Party Mutual Authentication and Key Exchange Protocol Based on Modular Learning with Error. Electronics. 13(19). 3930–3930. 1 indexed citations

6.

Oh, Jihyeon, Seunghwan Son, Deokkyu Kwon, et al.. (2024). Design of Secure and Privacy-Preserving Data Sharing Scheme Based on Key Aggregation and Private Set Intersection in Medical Information System. Mathematics. 12(11). 1717–1717. 4 indexed citations

7.

Oh, Jihyeon, Myeonghyun Kim, Yohan Park, & Youngho Park. (2023). A Secure Content Trading for Cross-Platform in the Metaverse With Blockchain and Searchable Encryption. IEEE Access. 11. 120680–120693. 14 indexed citations

8.

Kim, Myeonghyun, et al.. (2023). Secure and Privacy-Preserving Authentication Scheme Using Decentralized Identifier in Metaverse Environment. Electronics. 12(19). 4073–4073. 26 indexed citations

9.

Oh, Jihyeon, Deokkyu Kwon, Seunghwan Son, et al.. (2022). A Secure Three-Factor Authentication Protocol for E-Governance System Based on Multiserver Environments. IEEE Access. 10. 74351–74365. 23 indexed citations

10.

Lee, Sang Cheol, et al.. (2022). Provably Secure PUF-Based Lightweight Mutual Authentication Scheme for Wireless Body Area Networks. Electronics. 11(23). 3868–3868. 7 indexed citations

11.

Kwon, Deokkyu, et al.. (2022). Design of Secure Handover Authentication Scheme for Urban Air Mobility Environments. IEEE Access. 10. 42529–42541. 37 indexed citations

12.

Geetha, S., et al.. (2021). PEVRM: Probabilistic Evolution Based Version Recommendation Model for Mobile Applications. IEEE Access. 9. 20819–20827. 17 indexed citations

13.

Kim, Myeonghyun, et al.. (2021). Design of Secure Decentralized Car-Sharing System Using Blockchain. IEEE Access. 9. 54796–54810. 38 indexed citations

14.

Yu, Sungjin, et al.. (2020). A Secure and Efficient Three-Factor Authentication Protocol in Global Mobility Networks. Applied Sciences. 10(10). 3565–3565. 21 indexed citations

15.

Yu, Sungjin, Kisung Park, Joonyoung Lee, et al.. (2020). Privacy-Preserving Lightweight Authentication Protocol for Demand Response Management in Smart Grid Environment. Applied Sciences. 10(5). 1758–1758. 35 indexed citations

16.

Kim, Myeonghyun, et al.. (2020). Design of Secure Protocol for Cloud-Assisted Electronic Health Record System Using Blockchain. Sensors. 20(10). 2913–2913. 68 indexed citations

17.

Lee, Joonyoung, Sungjin Yu, Kisung Park, Yohan Park, & Youngho Park. (2019). Secure Three-Factor Authentication Protocol for Multi-Gateway IoT Environments. Sensors. 19(10). 2358–2358. 59 indexed citations

18.

Park, Yohan & Do-Hyung Park. (2017). S/W Developer’s IT Project Participation: Focusing on the Moderating Role of Regulatory Focus on the Effect of Technology Recency on Participation Intention. 18(2). 45–63. 2 indexed citations

19.

Park, Yohan, et al.. (2017). A Selective Group Authentication Scheme for IoT-Based Medical Information System. Journal of Medical Systems. 41(4). 48–48. 19 indexed citations

20.

Tae, Heung‐Sik, et al.. (2015). Surface plasmon polaritons of a symmetric metamaterial slab waveguide with a hollow core for fluid sensing. Journal of the Korean Physical Society. 67(4). 663–667. 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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