Tai-hoon Kim

6.7k total citations · 2 hit papers
297 papers, 4.1k citations indexed

About

Tai-hoon Kim is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tai-hoon Kim has authored 297 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Computer Networks and Communications, 87 papers in Information Systems and 83 papers in Artificial Intelligence. Recurrent topics in Tai-hoon Kim's work include Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (24 papers) and Blockchain Technology Applications and Security (23 papers). Tai-hoon Kim is often cited by papers focused on Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (24 papers) and Blockchain Technology Applications and Security (23 papers). Tai-hoon Kim collaborates with scholars based in South Korea, India and Australia. Tai-hoon Kim's co-authors include Debnath Bhattacharyya, Gulshan Kumar, Rahul Saha, Sabah Mohammed, Carlos Ramos, Sudipta Roy, Mritunjay Kumar, Samir Kumar Bandyopadhyay, Mohamed Hamdi and Luis Javier García Villalba and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Physical Review B.

In The Last Decade

Tai-hoon Kim

270 papers receiving 3.9k 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.

Smart City and IoT

2017 276 citations Tai-hoon Kim et al. profile →
Electrochemical Sensors for Heavy Metal Ion Detection in Aqueous Medium: A Systematic Review

2024 88 citations A. Rajesh, Ravikumar Chinthaginjala et al. profile →

Peers

Tai-hoon Kim

CNC

AI

IS

EEE

CVPR

Nan Jiang China

Junliang Chen China

Lu Wang China

Lei Pan Australia

Chao Chen China

Wendong Wang China

Yulei Wu China

Lida Xu China

Weifeng Lv China

Ting Chen China

Nan Jiang China

Tai-hoon Kim

1.2k ×0.9

CNC

988 ×1.0

AI

405 ×0.4

IS

832 ×1.0

EEE

772 ×1.0

CVPR

Citations per year, relative to Tai-hoon Kim Tai-hoon Kim (= 1×) peers Nan Jiang

Countries citing papers authored by Tai-hoon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Tai-hoon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-hoon Kim. 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 Tai-hoon Kim. The network helps show where Tai-hoon Kim may publish in the future.

Co-authorship network of co-authors of Tai-hoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tai-hoon Kim. A scholar is included among the top collaborators of Tai-hoon Kim 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 Tai-hoon Kim. Tai-hoon Kim 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.

Chinthaginjala, Ravikumar, et al.. (2024). Enhancing handwritten text recognition accuracy with gated mechanisms. Scientific Reports. 14(1). 16800–16800. 6 indexed citations

2.

Jyothi, B., et al.. (2024). Evaluation of a multiphase cascaded H-bridge inverter for induction motor operation. Scientific Reports. 14(1). 19486–19486. 1 indexed citations

3.

Umer, Muhammad, et al.. (2024). An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques. BMC Medical Research Methodology. 24(1). 221–221. 9 indexed citations

4.

Alabdulqader, Ebtisam, et al.. (2023). Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI. Cancers. 15(24). 5793–5793. 10 indexed citations

5.

Saha, Rahul, et al.. (2021). Machine and deep learning amalgamation for feature extraction in Industrial Internet-of-Things. Computers & Electrical Engineering. 97. 107610–107610. 21 indexed citations

6.

Saha, Rahul, G. Geetha, Gulshan Kumar, William J. Buchanan, & Tai-hoon Kim. (2021). A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions. Applied Sciences. 11(17). 8073–8073. 2 indexed citations

7.

Saha, Rahul, Gulshan Kumar, Mauro Conti, et al.. (2021). DHACS: Smart Contract-Based Decentralized Hybrid Access Control for Industrial Internet-of-Things. IEEE Transactions on Industrial Informatics. 18(5). 3452–3461. 37 indexed citations

8.

Arora, Sandeep Kumar, Gulshan Kumar, & Tai-hoon Kim. (2021). Blockchain Based Trust Model Using Tendermint in Vehicular Adhoc Networks. Applied Sciences. 11(5). 1998–1998. 8 indexed citations

9.

Gaba, Gurjot Singh, Gulshan Kumar, Himanshu Monga, et al.. (2020). Robust and Lightweight Key Exchange (LKE) Protocol for Industry 4.0. IEEE Access. 8. 132808–132824. 40 indexed citations

10.

Kim, Tai-hoon, Gulshan Kumar, Rahul Saha, et al.. (2020). A Privacy Preserving Distributed Ledger Framework for Global Human Resource Record Management: The Blockchain Aspect. IEEE Access. 8. 96455–96467. 33 indexed citations

11.

Kumar, Gulshan, Rahul Saha, Mritunjay Kumar, et al.. (2020). A Novel Framework for Fog Computing: Lattice-Based Secured Framework for Cloud Interface. IEEE Internet of Things Journal. 7(8). 7783–7794. 6 indexed citations

12.

Goyat, Rekha, Mritunjay Kumar, Gulshan Kumar, Rahul Saha, & Tai-hoon Kim. (2019). Energy Efficient Range-Free Localization Algorithm for Wireless Sensor Networks. Sensors. 19(16). 3603–3603. 12 indexed citations

13.

Saha, Rahul, G. Geetha, Gulshan Kumar, Tai-hoon Kim, & William J. Buchanan. (2019). MRC4: A Modified RC4 Algorithm Using Symmetric Random Function Generator for Improved Cryptographic Features. IEEE Access. 7. 172045–172054. 10 indexed citations

14.

Saha, Rahul, G. Geetha, Gulshan Kumar, & Tai-hoon Kim. (2018). RK-AES: An Improved Version of AES Using a New Key Generation Process with Random Keys. Security and Communication Networks. 2018. 1–11. 27 indexed citations

15.

Canedo, Edna Dias, et al.. (2018). Security Architecture and Protocol for Trust Verifications Regarding the Integrity of Files Stored in Cloud Services. Sensors. 18(3). 753–753. 9 indexed citations

16.

Bhattacharyya, Debnath, et al.. (2017). Semantic annotation for gender identification using support vector machine. International journal of applied research. 3(4). 147–160. 1 indexed citations

17.

Hamdi, Mohamed, et al.. (2014). A Survey on Security Models, Techniques, and Tools for the Internet of Things. 44–48. 29 indexed citations

18.

Robles, Rosslin John, et al.. (2009). Vulnerabilities in Control Systems, Critical Infrastructure Systems and SCADA. 454–457. 2 indexed citations

19.

Choi, Minkyu, et al.. (2008). Wireless Network Security: Vulnerabilities, Threats and Countermeasures. 3(3). 77–86. 29 indexed citations

20.

Kim, Tai-hoon, et al.. (2006). Security countermeasure design by using block model. International Conference on Telecommunications. 305–308.

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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