Wang‐Cheol Song

1.7k total citations · 1 hit paper
107 papers, 1.1k citations indexed

About

Wang‐Cheol Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Wang‐Cheol Song has authored 107 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 34 papers in Electrical and Electronic Engineering and 21 papers in Information Systems. Recurrent topics in Wang‐Cheol Song's work include Software-Defined Networks and 5G (44 papers), IoT and Edge/Fog Computing (23 papers) and Network Security and Intrusion Detection (20 papers). Wang‐Cheol Song is often cited by papers focused on Software-Defined Networks and 5G (44 papers), IoT and Edge/Fog Computing (23 papers) and Network Security and Intrusion Detection (20 papers). Wang‐Cheol Song collaborates with scholars based in South Korea, Pakistan and United Kingdom. Wang‐Cheol Song's co-authors include Muhammad Afaq, Talha Ahmed Khan, Khizar Abbas, Muhammad Tahir Abbas, Asif Mehmood, Shafqat Ur Rehman, Ihtesham Ul Islam, Javed Iqbal, Zubair Amjad and James Won‐Ki Hong and has published in prestigious journals such as IEEE Access, Sustainability and Computer Networks.

In The Last Decade

Wang‐Cheol Song

93 papers receiving 1.1k 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 Blockchain and Machine Learning-Based Drug Supply Chain Management and Recommendation System for Smart Pharmaceutical Industry

2020 202 citations Khizar Abbas, Muhammad Afaq et al. profile →

Peers

Wang‐Cheol Song

CNC

EEE

IS

AI

CSE

Muhammad Afaq South Korea

Low Tang Jung Malaysia

Ilyong Chung South Korea

Anshuman Kalla India

Carlo Giannelli Italy

Junfeng Xie China

Pascal Urien France

Pan Deng China

Latif Ladid Luxembourg

Zhaogang Shu China

Muhammad Afaq South Korea

Wang‐Cheol Song

593 ×0.8

CNC

274 ×0.8

EEE

232 ×0.9

IS

181 ×1.0

AI

48 ×0.8

CSE

Citations per year, relative to Wang‐Cheol Song Wang‐Cheol Song (= 1×) peers Muhammad Afaq

Countries citing papers authored by Wang‐Cheol Song

Since Specialization

Citations

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

Fields of papers citing papers by Wang‐Cheol Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang‐Cheol Song. 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 Wang‐Cheol Song. The network helps show where Wang‐Cheol Song may publish in the future.

Co-authorship network of co-authors of Wang‐Cheol Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Cheol Song. A scholar is included among the top collaborators of Wang‐Cheol Song 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 Wang‐Cheol Song. Wang‐Cheol Song 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.

Khan, Talha Ahmed, et al.. (2025). R-IBN: A reinforcement learning-based intent-driven framework for end-to-end service orchestration and optimization. Computer Networks. 270. 111564–111564.

2.

Khan, Talha Ahmed, et al.. (2025). Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN. IEEE Access. 13. 20316–20327. 2 indexed citations

3.

Khan, Talha Ahmed, et al.. (2025). Leveraging Cognitive Machine Reasoning and NLP for Automated Intent-Based Networking and e2e Service Orchestration. IEEE Access. 13. 19456–19468. 2 indexed citations

4.

Afaq, Muhammad, et al.. (2025). Intelligent QV2X Routing for Traffic Management in Consumer IoV Using STGNN and Reinforcement Learning. IEEE Transactions on Consumer Electronics. 71(1). 1288–1297. 1 indexed citations

5.

Khan, Talha Ahmed, et al.. (2024). Zt &t: secure service session management using blockchain-based tokens in zero trust networks.. Annals of Telecommunications. 79(7-8). 487–505. 3 indexed citations

6.

Alam, Sajid, et al.. (2024). Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach. Journal of Network and Systems Management. 32(2). 1 indexed citations

7.

Mehmood, Asif, Muhammad Afaq, Faisal Mehmood, & Wang‐Cheol Song. (2024). Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications. Mathematics. 12(24). 3980–3980. 1 indexed citations

8.

Alam, Sajid & Wang‐Cheol Song. (2024). Intent-Based Network Resource Orchestration in Space-Air-Ground Integrated Networks: A Graph Neural Networks and Deep Reinforcement Learning Approach. IEEE Access. 1–1. 3 indexed citations

9.

Abbas, Khizar, Talha Ahmed Khan, Muhammad Afaq, & Wang‐Cheol Song. (2021). Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach. IEEE Access. 9. 80128–80146. 70 indexed citations

10.

Afaq, Muhammad, Muhammad Saqib, & Wang‐Cheol Song. (2021). Sensor Virtualization and Data Orchestration in Internet of Vehicles (IoV). Integrated Network Management. 998–1003. 5 indexed citations

11.

Afaq, Muhammad, et al.. (2020). An End-to-end Intelligent Network Resource Allocation in IoV: A Machine Learning Approach. 1–5. 7 indexed citations

12.

Abbas, Muhammad Tahir, et al.. (2020). Position Prediction for Routing in Software Defined Internet of Vehicles. Journal of Communications. 157–163. 6 indexed citations

13.

Khan, Talha Ahmed, et al.. (2020). Service Function Chaining and Traffic Steering in SDN using Graph Neural Network. 500–505. 16 indexed citations

14.

Afaq, Muhammad, Zubair Amjad, & Wang‐Cheol Song. (2016). A Framework for Orchestration based on Live Migration of Virtual Machines. 17(2). 121–122. 1 indexed citations

15.

Amjad, Zubair, et al.. (2016). Context-Aware Routing for hovering information in Vehicular Ad-Hoc Networks. 14. 1–6. 3 indexed citations

16.

Amjad, Zubair, et al.. (2015). Delay-based Geocast routing protocol for message dissemination in vehicular highway networks. 4. 599–604. 1 indexed citations

17.

Song, Wang‐Cheol, et al.. (2013). Traffic aware optimized zone based hierarchal link state routing protocol for VANET. 3117–3122. 9 indexed citations

18.

Song, Wang‐Cheol, et al.. (2009). Associativity-based dynamic source routing in MANETs. 338–340. 1 indexed citations

19.

Song, Wang‐Cheol, et al.. (2009). Zone based on Wireless Sensor Network Management Protocol for Smart Home. The Journal of the Institute of Webcasting, Internet and Telecommunication. 9(5). 65–71. 1 indexed citations

20.

Song, Wang‐Cheol, et al.. (2009). Exhibition Monitoring System using USN/RFID based on ECA. The Journal of the Institute of Webcasting, Internet and Telecommunication. 9(6). 95–100. 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.

Explore authors with similar magnitude of impact