Sijing Duan

668 total citations · 1 hit paper
19 papers, 444 citations indexed

About

Sijing Duan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sijing Duan has authored 19 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Sijing Duan's work include IoT and Edge/Fog Computing (6 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced MIMO Systems Optimization (3 papers). Sijing Duan is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced MIMO Systems Optimization (3 papers). Sijing Duan collaborates with scholars based in China, Canada and United States. Sijing Duan's co-authors include Xuemin Shen, Feng Lyu, Ju Ren, Huaqing Wu, Dan Wang, Ye Zhang, Yaoxue Zhang, Deyu Zhang, Lingxiang Li and D. H. Zhang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and IEEE Transactions on Vehicular Technology.

In The Last Decade

Sijing Duan

16 papers receiving 430 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.

Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey

2022 204 citations Sijing Duan, Dan Wang et al. IEEE Communications Surveys & Tutorials profile →

Peers

Sijing Duan

CNC

EEE

IS

AI

CVPR

Miaojiang Chen China

Yueyi Luo China

Zhixiu Yao China

Ping Lang China

Irshad Ahmed Abbasi Saudi Arabia

Dian Shi China

Samiha Ayed France

Yufei Cao China

Tri Nguyen Dang South Korea

Yiqin Deng China

Miaojiang Chen China

Sijing Duan

307 ×1.4

CNC

153 ×1.2

EEE

103 ×0.8

IS

139 ×1.2

AI

59 ×1.0

CVPR

Citations per year, relative to Sijing Duan Sijing Duan (= 1×) peers Miaojiang Chen

Countries citing papers authored by Sijing Duan

Since Specialization

Citations

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

Fields of papers citing papers by Sijing Duan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijing Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Sijing Duan. A scholar is included among the top collaborators of Sijing Duan 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 Sijing Duan. Sijing Duan 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:

19 of 19 papers shown

1.

Duan, Sijing, Feng Lyu, Jing Zhang, et al.. (2025). MoCo: Urban User Mobile Contact Detection Based on Cellular Signaling Trace. IEEE Transactions on Mobile Computing. 24(8). 6780–6796. 2 indexed citations

2.

Lyu, Feng, Lijuan He, Mingliu Liu, et al.. (2025). Auto-UIT: Automating UAV Inspection Trajectory by Recognizing Pylon Structure from 3D Point Cloud. 758–772.

3.

Duan, Sijing, Ye Zhang, Feng Lyu, Conghao Zhou, & Xuemin Shen. (2025). Mobile Network Data Synthesis with Generative AI: Challenges and Solutions. IEEE Communications Magazine. 63(12). 172–178.

4.

Dong, Yanhao, Sijing Duan, Feng Lyu, et al.. (2024). NC-Load : On-Demand Program Loading and Running for Computing Sharing Among IoT Devices. IEEE Internet of Things Journal. 12(9). 12242–12256.

5.

Duan, Sijing, Feng Lyu, Juan Cen, et al.. (2024). Flexible and Effective Cellular Traffic Data Synthesis with Large Language Model. 5223–5228. 1 indexed citations

6.

Duan, Sijing, Feng Lyu, Yi Ding, et al.. (2023). VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System. Proceedings of the VLDB Endowment. 17(2). 241–249. 6 indexed citations

7.

Wang, Shanshan, Fan Wu, Jie Gao, et al.. (2023). Dynamic RRH-BBU Mapping for C-RAN: A Data-Driven Approach. 2656–2661. 2 indexed citations

8.

Duan, Sijing, Feng Lyu, Ju Ren, et al.. (2022). Multitype Highway Mobility Analytics for Efficient Learning Model Design: A Case of Station Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19484–19496. 8 indexed citations

9.

Duan, Sijing, Dan Wang, Ju Ren, et al.. (2022). Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey. IEEE Communications Surveys & Tutorials. 25(1). 591–624. 204 indexed citations breakdown →

10.

Duan, Sijing, et al.. (2022). MOTO: Mobility-Aware Online Task Offloading With Adaptive Load Balancing in Small-Cell MEC. IEEE Transactions on Mobile Computing. 23(1). 645–659. 66 indexed citations

11.

Lyu, Feng, et al.. (2022). Dynamic Pricing Scheme for Edge Computing Services: A Two-layer Reinforcement Learning Approach. 1–10. 17 indexed citations

12.

Lyu, Feng, Huaqing Wu, Sijing Duan, et al.. (2022). Mobility-Aware Computation Offloading with Adaptive Load Balancing in Small-Cell MEC. ICC 2022 - IEEE International Conference on Communications. 4330–4335. 4 indexed citations

13.

Zhang, Deyu, et al.. (2021). Deep action: A mobile action recognition framework using edge offloading. Peer-to-Peer Networking and Applications. 15(1). 324–339. 2 indexed citations

14.

Duan, Sijing, et al.. (2021). Optimizing Federated Learning on Device Heterogeneity with A Sampling Strategy. 1–10. 18 indexed citations

15.

Zhang, Yaoxue, Sijing Duan, Deyu Zhang, & Ju Ren. (2020). Transparent Computing: Development and Current Status. Chinese Journal of Electronics. 29(5). 793–811. 4 indexed citations

16.

Duan, Sijing, et al.. (2019). JointRec: A Deep-Learning-Based Joint Cloud Video Recommendation Framework for Mobile IoT. IEEE Internet of Things Journal. 7(3). 1655–1666. 51 indexed citations

17.

Duan, Sijing, Deyu Zhang, Ju Ren, & Yaoxue Zhang. (2018). Resource allocation for hybrid energy powered cloud radio access network with battery leakage. IET Communications. 12(18). 2274–2281. 1 indexed citations

18.

Duan, Sijing, Zhigang Chen, & D. H. Zhang. (2018). Resource allocation optimisation for delay‐sensitive traffic in energy harvesting cloud radio access network. IET Communications. 12(6). 641–648. 10 indexed citations

19.

Zhang, D. H., Zhigang Chen, Lin Cai, et al.. (2017). Resource Allocation for Green Cloud Radio Access Networks With Hybrid Energy Supplies. IEEE Transactions on Vehicular Technology. 67(2). 1684–1697. 48 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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