Guisong Liu

2.2k total citations · 1 hit paper
113 papers, 1.5k citations indexed

About

Guisong Liu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Guisong Liu has authored 113 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 43 papers in Electrical and Electronic Engineering and 37 papers in Artificial Intelligence. Recurrent topics in Guisong Liu's work include Software-Defined Networks and 5G (21 papers), Advanced MIMO Systems Optimization (17 papers) and Advanced Memory and Neural Computing (14 papers). Guisong Liu is often cited by papers focused on Software-Defined Networks and 5G (21 papers), Advanced MIMO Systems Optimization (17 papers) and Advanced Memory and Neural Computing (14 papers). Guisong Liu collaborates with scholars based in China, Germany and Singapore. Guisong Liu's co-authors include Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Abegaz Mohammed Seid, Xiurui Xie, Shangming Yang, Wei Jiang, Luping Ji, Hong Qu and Kun Xiong and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Guisong Liu

103 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.

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

Countries citing papers authored by Guisong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Guisong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guisong Liu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	PPBI: Pose-Guided Partial-Attention Network with Batch Information for Occluded Person Re-Identification 2025 ·Sensors ·(unknown), Yiping Chen, (unknown), Guisong Liu, (unknown), Ye Li	3
2	A deep reinforcement active learning method for multi-label image classification 2025 ·Computer Vision and Image Understanding ·Qing Cai, (unknown), (unknown), Xiurui Xie, Guisong Liu	0
3	Toward AI-Native Task Orchestration for Collaborative Computing in SAGSINs 2025 ·IEEE Communications Magazine ·Guolin Sun, Daniel Ayepah-Mensah, (unknown), (unknown), (unknown), (unknown), (unknown), Guisong Liu	2
4	PALADIN: a novel plug-and-play 3D CS-MRI reconstruction method 2025 ·Inverse Problems ·Jiemin Wu, Shu Yin, Tai-Xiang Jiang, Guisong Liu, Xi-Le Zhao	3
5	Federated Policy Distillation for Digital Twin-Enabled Intelligent Resource Trading in 5G Network Slicing 2024 ·IEEE Transactions on Network and Service Management ·Daniel Ayepah-Mensah, Guolin Sun, Gordon Owusu Boateng, Guisong Liu	1
6	Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion 2024 ·Neural Networks ·(unknown), Pei Li, Qiang Gao, Guisong Liu, (unknown), Tianrui Li	1
7	Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning 2024 ·IEEE Transactions on Vehicular Technology ·Guolin Sun, Gordon Owusu Boateng, Kai Liu, Daniel Ayepah-Mensah, Guisong Liu	5
8	DeepFedKDAD: Deep Federated Knowledge Distillation Based Anomaly Detection in B5G Network Slicing 2023 ·(unknown), (unknown), Guolin Sun, Guisong Liu	1
9	Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G 2023 ·IEEE/ACM Transactions on Networking ·Daniel Ayepah-Mensah, Guolin Sun, Gordon Owusu Boateng, (unknown), Guisong Liu	18
10	SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network 2023 ·IEEE Transactions on Vehicular Technology ·(unknown), Guolin Sun, Gordon Owusu Boateng, (unknown), (unknown), Guisong Liu	6
11	Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach 2023 ·IEEE Transactions on Mobile Computing ·Guolin Sun, Gordon Owusu Boateng, (unknown), Huan Chen, Daniel Ayepah-Mensah, Guisong Liu	6
12	Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach 2023 ·IEEE Internet of Things Journal ·(unknown), Guolin Sun, Daniel Ayepah-Mensah, Gordon Owusu Boateng, Guisong Liu	13
13	Event-Driven Spiking Learning Algorithm Using Aggregated Labels 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Xiurui Xie, Yansong Chua, Guisong Liu, Malu Zhang, Guangchun Luo, Huajin Tang	6
14	MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing 2022 ·IEEE Wireless Communications Letters ·(unknown), Gordon Owusu Boateng, (unknown), Guolin Sun, Yu Pang, Guisong Liu	5
15	Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach 2022 ·IEEE Transactions on Mobile Computing ·Gordon Owusu Boateng, Guolin Sun, Daniel Ayepah-Mensah, (unknown), (unknown), Guisong Liu	53
16	Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach breakdown → 2021 ·IEEE Internet of Things Journal ·Abegaz Mohammed Seid, Gordon Owusu Boateng, (unknown), (unknown), Guolin Sun, Guisong Liu	170
17	Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G 2021 ·IEEE Transactions on Network and Service Management ·Gordon Owusu Boateng, Daniel Ayepah-Mensah, (unknown), Abegaz Mohammed Seid, Guolin Sun, Guisong Liu	44
18	Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning 2021 ·IEEE Internet of Things Journal ·Guolin Sun, Kai Liu, Gordon Owusu Boateng, Guisong Liu, Wei Jiang	9
19	Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning 2020 ·IEEE Systems Journal ·Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang	45
20	Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network 2019 ·IEEE Systems Journal ·Guolin Sun, Kun Xiong, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang	68

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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