Jianchun Liu

1.4k total citations
69 papers, 1.0k citations indexed

About

Jianchun Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jianchun Liu has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Jianchun Liu's work include Privacy-Preserving Technologies in Data (33 papers), Stochastic Gradient Optimization Techniques (17 papers) and Software-Defined Networks and 5G (10 papers). Jianchun Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (33 papers), Stochastic Gradient Optimization Techniques (17 papers) and Software-Defined Networks and 5G (10 papers). Jianchun Liu collaborates with scholars based in China, United States and Japan. Jianchun Liu's co-authors include Hongli Xu, Yang Xu, He Huang, Zhiyuan Wang, Chen Qian, Lun Wang, Yangming Zhao, Chunming Qiao, Jinyang Huang and Yunming Liao and has published in prestigious journals such as Journal of Alloys and Compounds, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.

In The Last Decade

Jianchun Liu

59 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianchun Liu China 16 621 274 145 140 136 69 1.0k
Sarang Thombre Finland 9 115 0.2× 153 0.6× 195 1.3× 44 0.3× 26 0.2× 32 611
Qinglei Kong China 15 374 0.6× 269 1.0× 381 2.6× 202 1.4× 8 0.1× 35 797
Junlong Zhu China 13 200 0.3× 293 1.1× 98 0.7× 61 0.4× 20 0.1× 80 583
Lin Zhou China 14 134 0.2× 219 0.8× 349 2.4× 32 0.2× 29 0.2× 70 716
Ido Nevat Singapore 18 259 0.4× 483 1.8× 401 2.8× 35 0.3× 19 0.1× 93 879
Shiguo Wang China 12 113 0.2× 309 1.1× 329 2.3× 60 0.4× 46 0.3× 51 699
Amang Sudarsono Indonesia 12 202 0.3× 235 0.9× 223 1.5× 144 1.0× 16 0.1× 134 578
G. Werner-Allen United States 5 128 0.2× 1.2k 4.4× 660 4.6× 41 0.3× 108 0.8× 7 1.4k
Hilal H. Nuha Indonesia 11 147 0.2× 96 0.4× 117 0.8× 99 0.7× 15 0.1× 169 571
Chuang Zhang China 14 140 0.2× 60 0.2× 52 0.4× 87 0.6× 44 0.3× 89 608

Countries citing papers authored by Jianchun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jianchun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianchun Liu. A scholar is included among the top collaborators of Jianchun 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 Jianchun Liu. Jianchun Liu 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.
Liu, Jianchun, et al.. (2025). Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data. IEEE Transactions on Mobile Computing. 1–17.
2.
Zhang, Mao, Jianchun Liu, Lei Deng, et al.. (2025). Influences of ultrasonic vibration on the microstructure evolution of pure aluminum during uniaxial compression. Journal of Alloys and Compounds. 1020. 179430–179430. 2 indexed citations
3.
4.
Liao, Yunming, et al.. (2025). Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. IEEE Transactions on Mobile Computing. 24(11). 12533–12549.
5.
Huang, Jinyang, Xiang Zhang, Zhi Liu, et al.. (2024). KeystrokeSniffer: An Off-the-Shelf Smartphone Can Eavesdrop on Your Privacy From Anywhere. IEEE Transactions on Information Forensics and Security. 19. 6840–6855. 10 indexed citations
6.
7.
Xu, Yang, Yunming Liao, Zhiyuan Wang, et al.. (2024). FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing. 33(1). 414–429. 1 indexed citations
8.
Liu, Jianchun, et al.. (2024). Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing. IEEE Transactions on Mobile Computing. 24(3). 2315–2330. 2 indexed citations
9.
Liu, Jianchun, et al.. (2023). Five-axis flank milling error model of a face gear considering the tool tip dynamics. The International Journal of Advanced Manufacturing Technology. 125(5-6). 2717–2731. 2 indexed citations
10.
Xu, Yang, et al.. (2023). FedLC: Accelerating Asynchronous Federated Learning in Edge Computing. IEEE Transactions on Mobile Computing. 23(5). 5327–5343. 9 indexed citations
11.
Huang, Jinyang, Bin Liu, Chenglin Miao, et al.. (2023). PhyFinAtt: An Undetectable Attack Framework Against PHY Layer Fingerprint-Based WiFi Authentication. IEEE Transactions on Mobile Computing. 23(7). 7753–7770. 26 indexed citations
12.
Liu, Jianchun, et al.. (2023). YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. IEEE/ACM Transactions on Networking. 32(2). 1768–1780. 20 indexed citations
13.
Yao, Bin, et al.. (2023). Face gear generating grinding residual model based on the normal cutting depth iterative method. The International Journal of Advanced Manufacturing Technology. 126(1-2). 355–369. 4 indexed citations
14.
Xu, Yang, et al.. (2022). Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. IEEE Transactions on Mobile Computing. 22(10). 5675–5689. 70 indexed citations
15.
Xu, Yang, et al.. (2022). Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing. IEEE Transactions on Mobile Computing. 1–17. 11 indexed citations
16.
Liu, Jianchun, Yang Xu, Hongli Xu, et al.. (2022). Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1586–1597. 18 indexed citations
17.
Wang, Zhiyuan, Hongli Xu, Jianchun Liu, et al.. (2021). Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. 1–10. 142 indexed citations
18.
Liu, Jianchun, et al.. (2020). Incremental Server Deployment for Software-Defined NFV-Enabled Networks. IEEE/ACM Transactions on Networking. 1–14. 7 indexed citations
19.
Xu, Hongli, et al.. (2020). Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. IEEE Transactions on Mobile Computing. 21(8). 2876–2894. 15 indexed citations
20.
Liu, Jianchun, et al.. (2015). Multi-metrics Restricts on MPRs over Standard OLSR. 364–368. 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.

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