Sangsoon Lim

1.2k total citations
60 papers, 680 citations indexed

About

Sangsoon Lim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sangsoon Lim has authored 60 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sangsoon Lim's work include Energy Efficient Wireless Sensor Networks (14 papers), Wireless Networks and Protocols (13 papers) and Energy Harvesting in Wireless Networks (8 papers). Sangsoon Lim is often cited by papers focused on Energy Efficient Wireless Sensor Networks (14 papers), Wireless Networks and Protocols (13 papers) and Energy Harvesting in Wireless Networks (8 papers). Sangsoon Lim collaborates with scholars based in South Korea, Pakistan and India. Sangsoon Lim's co-authors include Seifedine Kadry, M. Lawanya Shri, Ghassan Husnain, Chong-kwon Kim, Farhan Aadil, Shahzad Anwar, Gulbadan Sikander, Aini Hussain, Wan Mimi Diyana Wan Zaki and R. Rajesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Sangsoon Lim

56 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangsoon Lim South Korea 14 335 195 140 119 79 60 680
Saraswathy Shamini Gunasekaran Malaysia 12 215 0.6× 134 0.7× 104 0.7× 129 1.1× 105 1.3× 53 543
Umar Draz Pakistan 14 232 0.7× 173 0.9× 46 0.3× 82 0.7× 119 1.5× 59 690
Saad Almutairi Saudi Arabia 15 285 0.9× 64 0.3× 128 0.9× 220 1.8× 85 1.1× 45 752
Shriram K. Vasudevan India 12 237 0.7× 127 0.7× 158 1.1× 114 1.0× 125 1.6× 122 659
Yuansheng Luo China 14 238 0.7× 292 1.5× 158 1.1× 112 0.9× 102 1.3× 38 669
Teemu Leppänen Finland 15 450 1.3× 121 0.6× 198 1.4× 84 0.7× 118 1.5× 33 657
Mahdi Abbasi Iran 17 448 1.3× 206 1.1× 208 1.5× 141 1.2× 101 1.3× 57 768
Mostofa Kamal Nasir Bangladesh 13 376 1.1× 166 0.9× 243 1.7× 191 1.6× 153 1.9× 33 965
Ghaida Muttashar Abdulsahib Iraq 16 466 1.4× 247 1.3× 211 1.5× 183 1.5× 86 1.1× 32 895
Eustace M. Dogo South Africa 11 72 0.2× 64 0.3× 60 0.4× 129 1.1× 82 1.0× 26 495

Countries citing papers authored by Sangsoon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sangsoon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangsoon Lim

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

All Works

20 of 20 papers shown
1.
Shoaib, Muhammad, Ghassan Husnain, M. Ijaz Khan, Yazeed Yasin Ghadi, & Sangsoon Lim. (2025). Decentralized resource allocation in UAV communication networks through reward based multi agent learning. Scientific Reports. 15(1). 33122–33122.
2.
Shah, Syed Adeel Ali, et al.. (2024). Multiobjective Harris Hawks Optimization-Based Task Scheduling in Cloud-Fog Computing. IEEE Internet of Things Journal. 11(13). 24334–24352. 26 indexed citations
3.
4.
Khan, Firoz, et al.. (2023). Context-Aware and Click Session-Based Graph Pattern Mining With Recommendations for Smart EMS Through AI. IEEE Access. 11. 59854–59865. 5 indexed citations
5.
Ahmad, Waqas, Ghassan Husnain, Sheeraz Ahmed, Farhan Aadil, & Sangsoon Lim. (2023). Received Signal Strength‐Based Localization for Vehicle Distance Estimation in Vehicular Ad Hoc Networks (VANETs). Journal of Sensors. 2023(1). 8 indexed citations
6.
Sikander, Gulbadan, Shahzad Anwar, Ghassan Husnain, & Sangsoon Lim. (2023). F-ROADNET: Late Fusion-Based Automotive Radar Object Detection. IEEE Access. 11. 142893–142902. 2 indexed citations
7.
Husnain, Ghassan, et al.. (2023). A Bio-Inspired Cluster Optimization Schema for Efficient Routing in Vehicular Ad Hoc Networks (VANETs). Energies. 16(3). 1456–1456. 39 indexed citations
8.
Husnain, Ghassan, et al.. (2022). An Intelligent Harris Hawks Optimization Based Cluster Optimization Scheme for VANETs. Journal of Sensors. 2022. 1–15. 12 indexed citations
9.
Imrana, Yakubu, Yanping Xiang, Liaqat Ali, et al.. (2022). χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM. Sensors. 22(5). 2018–2018. 23 indexed citations
10.
Rajesh, R., et al.. (2022). Recurrent and Deep Learning Neural Network Models for DDoS Attack Detection. Journal of Sensors. 2022. 1–21. 29 indexed citations
11.
Lim, Sangsoon, et al.. (2021). A deep learning-based medication behavior monitoring system. Mathematical Biosciences & Engineering. 18(2). 1513–1528. 13 indexed citations
12.
Sekaran, Kaushik, et al.. (2020). An energy-efficient cluster head selection in wireless sensor network using grey wolf optimization algorithm. TELKOMNIKA (Telecommunication Computing Electronics and Control). 18(6). 2822–2822. 35 indexed citations
13.
Ramasamy, Lakshmana Kumar, Seifedine Kadry, & Sangsoon Lim. (2020). Selection of optimal hyper-parameter values of support vector machine for sentiment analysis tasks using nature-inspired optimization methods. Bulletin of Electrical Engineering and Informatics. 10(1). 290–298. 13 indexed citations
14.
Lim, Sangsoon, et al.. (2016). Performance Evaluations for IEEE 802.15.4-based IoT Smart Home Solution. SHILAP Revista de lepidopterología. 7 indexed citations
15.
Lim, Sangsoon, et al.. (2016). CoSense: Interference resilient ZigBee detection in heterogeneous wireless networks. 38. 1–6. 1 indexed citations
16.
Lim, Sangsoon, et al.. (2016). Analysis of IEEE 802.15.4 Beacon-Enabled MAC Protocol. International Journal of Electrical and Computer Engineering (IJECE). 6(3). 1122–1122. 5 indexed citations
17.
Lim, Sangsoon & Hayoung Oh. (2016). EETA: An Energy Efficient Transmission Alignment for Wireless Sensor Network Applications. International Journal of Electrical and Computer Engineering (IJECE). 6(5). 2345–2345.
18.
Lim, Sangsoon, et al.. (2013). NBP: light-weight Narrow Band Protection for ZigBee and Wi-Fi coexistence. EURASIP Journal on Wireless Communications and Networking. 2013(1). 8 indexed citations
19.
Lim, Sangsoon, et al.. (2009). Performance enhancement of low power listening MAC for duty cycled wireless sensor networks. 43–47. 2 indexed citations
20.
Lim, Yeon-sup, Sangsoon Lim, Jae-Hyuk Choi, et al.. (2007). A Fire Detection and Rescue Support Framework with Wireless Sensor Networks. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 135–138. 18 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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