Guolin Sun

2.7k total citations · 3 hit papers
80 papers, 1.9k citations indexed

About

Guolin Sun is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Guolin Sun has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Networks and Communications, 51 papers in Electrical and Electronic Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Guolin Sun's work include Advanced MIMO Systems Optimization (27 papers), Software-Defined Networks and 5G (26 papers) and IoT and Edge/Fog Computing (16 papers). Guolin Sun is often cited by papers focused on Advanced MIMO Systems Optimization (27 papers), Software-Defined Networks and 5G (26 papers) and IoT and Edge/Fog Computing (16 papers). Guolin Sun collaborates with scholars based in China, Germany and Sweden. Guolin Sun's co-authors include Guisong Liu, Gordon Owusu Boateng, Wei Guo, Jie Chen, K. J. Ray Liu, Abegaz Mohammed Seid, Wei Jiang, Daniel Ayepah-Mensah, Jie Chen and Kun Xiong and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Guolin Sun

77 papers receiving 1.9k 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.

Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs

2005 446 citations Guolin Sun et al. profile →
Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network

2021 182 citations Abegaz Mohammed Seid, Gordon Owusu Boateng et al. IEEE Transactions on Network and Service Management profile →
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach

2021 170 citations Abegaz Mohammed Seid, Gordon Owusu Boateng et al. IEEE Internet of Things Journal profile →

Peers

Guolin Sun

EEE

CNC

Hongzi Zhu China

Suraj Sharma India

Shigeng Zhang China

Yuanchao Shu China

Christos Laoudias Cyprus

Wei Gong China

Eyuphan Bulut United States

Chi Lin China

Waltenegus Dargie Germany

Hongzi Zhu China

Guolin Sun

1.5k ×1.3

EEE

1.3k ×1.1

CNC

230 ×0.5

441 ×1.9

133 ×0.6

Citations per year, relative to Guolin Sun Guolin Sun (= 1×) peers Hongzi Zhu

Countries citing papers authored by Guolin Sun

Since Specialization

Citations

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

Fields of papers citing papers by Guolin Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guolin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guolin Sun. A scholar is included among the top collaborators of Guolin Sun 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 Guolin Sun. Guolin Sun 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

Sun, Guolin, et al.. (2025). Toward AI-Native Task Orchestration for Collaborative Computing in SAGSINs. IEEE Communications Magazine. 63(12). 112–118. 2 indexed citations

Ayepah-Mensah, Daniel, Guolin Sun, Gordon Owusu Boateng, & Guisong Liu. (2024). Federated Policy Distillation for Digital Twin-Enabled Intelligent Resource Trading in 5G Network Slicing. IEEE Transactions on Network and Service Management. 22(1). 361–379. 1 indexed citations

Sun, Guolin, Gordon Owusu Boateng, Kai Liu, Daniel Ayepah-Mensah, & Guisong Liu. (2024). Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 73(8). 12010–12025. 5 indexed citations

Abishu, Hayla Nahom, et al.. (2024). Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks. IEEE Internet of Things Journal. 12(4). 4331–4348. 5 indexed citations

Sun, Guolin, et al.. (2023). DeepFedKDAD: Deep Federated Knowledge Distillation Based Anomaly Detection in B5G Network Slicing. 146–151. 1 indexed citations

Ayepah-Mensah, Daniel, et al.. (2023). Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G. IEEE/ACM Transactions on Networking. 32(1). 654–669. 18 indexed citations

Sun, Guolin, et al.. (2023). SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network. IEEE Transactions on Vehicular Technology. 72(7). 9069–9084. 6 indexed citations

Sun, Guolin, et al.. (2023). Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach. IEEE Transactions on Mobile Computing. 23(5). 3830–3845. 6 indexed citations

Sun, Guolin, et al.. (2023). Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 10(22). 20174–20187. 13 indexed citations

10.

Boateng, Gordon Owusu, et al.. (2022). MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing. IEEE Wireless Communications Letters. 11(9). 1905–1909. 5 indexed citations

11.

Boateng, Gordon Owusu, et al.. (2022). Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Mobile Computing. 22(10). 5801–5815. 53 indexed citations

12.

Seid, Abegaz Mohammed, et al.. (2021). Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 8(15). 12203–12218. 170 indexed citations breakdown →

13.

Ayepah-Mensah, Daniel, et al.. (2021). Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks. IEEE Systems Journal. 16(1). 275–286. 32 indexed citations

14.

Boateng, Gordon Owusu, et al.. (2021). Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. IEEE Transactions on Network and Service Management. 19(1). 216–227. 44 indexed citations

15.

Seid, Abegaz Mohammed, et al.. (2021). Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network. IEEE Transactions on Network and Service Management. 18(4). 4531–4547. 182 indexed citations breakdown →

16.

Sun, Guolin, Kai Liu, Gordon Owusu Boateng, Guisong Liu, & Wei Jiang. (2021). Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning. IEEE Internet of Things Journal. 9(5). 3574–3585. 9 indexed citations

17.

Sun, Guolin, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, & Wei Jiang. (2020). Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning. IEEE Systems Journal. 14(4). 4694–4705. 45 indexed citations

18.

Seid, Abegaz Mohammed, et al.. (2020). A Survey on Machine Learning Based Proactive Caching. ZTE communications. 17(4). 46–55. 9 indexed citations

19.

Sun, Guolin, Kun Xiong, Gordon Owusu Boateng, et al.. (2019). Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. IEEE Systems Journal. 13(3). 2454–2465. 68 indexed citations

20.

Sun, Guolin & Guo Wei. (2006). A novel indoor geo-location method using MIMO array. Journal of Electronics (China). 23(6). 810–813. 1 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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