Shiqiang Wang

8.0k total citations · 5 hit papers
94 papers, 5.1k citations indexed

About

Shiqiang Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shiqiang Wang has authored 94 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 53 papers in Artificial Intelligence and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Shiqiang Wang's work include Privacy-Preserving Technologies in Data (32 papers), IoT and Edge/Fog Computing (20 papers) and Stochastic Gradient Optimization Techniques (18 papers). Shiqiang Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (32 papers), IoT and Edge/Fog Computing (20 papers) and Stochastic Gradient Optimization Techniques (18 papers). Shiqiang Wang collaborates with scholars based in United States, United Kingdom and China. Shiqiang Wang's co-authors include Kin K. Leung, Ting He, Kevin Chan, Tiffany Tuor, Theodoros Salonidis, Christian Makaya, Murtaza Zafer, Leandros Tassiulas, Rahul Urgaonkar and Ahmed Imteaj and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Shiqiang Wang

87 papers receiving 5.0k citations

Hit Papers

Adaptive Federated Learni... 2019 2026 2021 2023 2019 2021 2022 2022 2021 400 800 1.2k
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.

  1. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
    2019 1.5k citations Shiqiang Wang, Christian Makaya et al. IEEE Journal on Selected Areas in Communications profile →
  2. A Survey on Federated Learning for Resource-Constrained IoT Devices
    2021 473 citations Ahmed Imteaj, Urmish Thakker et al. IEEE Internet of Things Journal profile →
  3. Model Pruning Enables Efficient Federated Learning on Edge Devices
    2022 288 citations Shiqiang Wang, Leandros Tassiulas et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  4. Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
    2022 137 citations Bing Luo, Shiqiang Wang et al. profile →
  5. Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds
    2021 133 citations Ting He, Hana Khamfroush et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiqiang Wang United States 28 2.9k 2.8k 1.3k 1.1k 585 94 5.1k
Hongli Xu China 30 1.9k 0.7× 1.5k 0.5× 824 0.7× 615 0.6× 253 0.4× 272 3.3k
Nguyen Cong Luong Vietnam 18 1.2k 0.4× 1.6k 0.6× 869 0.7× 553 0.5× 322 0.6× 65 2.8k
Theodoros Salonidis United States 26 2.5k 0.8× 1.5k 0.5× 1.7k 1.4× 365 0.3× 330 0.6× 74 4.2k
Kurt Rothermel Germany 36 3.7k 1.3× 761 0.3× 1.2k 1.0× 809 0.8× 233 0.4× 281 4.8k
Yutao Jiao China 14 946 0.3× 1.6k 0.6× 647 0.5× 406 0.4× 344 0.6× 49 2.3k
Rui Zhang United States 29 906 0.3× 1.4k 0.5× 566 0.4× 655 0.6× 307 0.5× 144 2.7k
Peter Steenkiste United States 43 6.2k 2.1× 2.0k 0.7× 2.5k 2.0× 1.6k 1.5× 121 0.2× 252 7.8k
Libing Wu China 33 1.3k 0.4× 1.5k 0.5× 782 0.6× 1.4k 1.3× 138 0.2× 169 3.3k
Panos Papadimitratos Sweden 37 4.0k 1.4× 1.9k 0.7× 4.7k 3.7× 860 0.8× 245 0.4× 169 6.4k
Deke Guo China 28 2.0k 0.7× 658 0.2× 654 0.5× 950 0.9× 148 0.3× 259 3.1k

Countries citing papers authored by Shiqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiqiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiqiang Wang. A scholar is included among the top collaborators of Shiqiang Wang 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 Shiqiang Wang. Shiqiang Wang 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.
2.
Yuan, Liangqi, Dong-Jun Han, Shiqiang Wang, & Christopher G. Brinton. (2025). Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. 201–210. 1 indexed citations
3.
Yu, Chong, et al.. (2024). Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5614–5628. 4 indexed citations
4.
Luo, Bing, et al.. (2024). Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks. IEEE Transactions on Mobile Computing. 23(10). 9663–9677. 4 indexed citations
5.
Wang, Shiqiang, et al.. (2023). Flexible Vertical Federated Learning With Heterogeneous Parties. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17878–17892. 19 indexed citations
6.
Wang, Jiayi, Shiqiang Wang, Rong‐Rong Chen, & Mingyue Ji. (2023). Rethinking the Data Heterogeneity in Federated Learning. 624–628.
7.
Wang, Shiqiang, et al.. (2022). Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. ACM Transactions on Intelligent Systems and Technology. 13(6). 1–27. 14 indexed citations
8.
He, Ting, Shiqiang Wang, Changchang Liu, et al.. (2022). Communication-efficient k-Means for Edge-based Machine Learning. IEEE Transactions on Parallel and Distributed Systems. 1–1. 1 indexed citations
9.
Imteaj, Ahmed, Urmish Thakker, Shiqiang Wang, Jian Li, & M. Hadi Amini. (2021). A Survey on Federated Learning for Resource-Constrained IoT Devices. IEEE Internet of Things Journal. 9(1). 1–24. 473 indexed citations breakdown →
10.
Wang, Shiqiang. (2021). Efficient deep learning. Nature Computational Science. 1(3). 181–182. 11 indexed citations
11.
Luo, Bing, Xiang Li, Shiqiang Wang, Jianwei Huang, & Leandros Tassiulas. (2021). Cost-Effective Federated Learning Design. 1–10. 156 indexed citations
12.
He, Ting, et al.. (2020). Robust Coreset Construction for Distributed Machine Learning. IEEE Journal on Selected Areas in Communications. 38(10). 2400–2417. 12 indexed citations
13.
He, Ting, Shiqiang Wang, Changchang Liu, et al.. (2020). Communication-efficient k-Means for Edge-based Machine Learning. 21. 595–605. 2 indexed citations
14.
15.
Zhao, Tao, I-Hong Hou, Shiqiang Wang, & Kevin Chan. (2018). Red/LeD: An Asymptotically Optimal and Scalable Online Algorithm for Service Caching at the Edge. IEEE Journal on Selected Areas in Communications. 36(8). 1857–1870. 54 indexed citations
16.
He, Ting, Hana Khamfroush, Shiqiang Wang, Tom La Porta, & Sebastian Stein. (2018). It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-Sharable Resources. ePrints Soton (University of Southampton). 365–375. 177 indexed citations
17.
Wang, Shiqiang, et al.. (2017). Data distribution and scheduling for distributed analytics tasks. 1–6. 9 indexed citations
18.
Song, Qingyang, Zhaolong Ning, Shiqiang Wang, & Abbas Jamalipour. (2012). Link stability estimation based on link connectivity changes in mobile ad-hoc networks. Journal of Network and Computer Applications. 35(6). 2051–2058. 33 indexed citations
19.
Wang, Shiqiang. (2011). A New Method of Sorting Radar Emitter Signals. 2 indexed citations
20.
Wang, Zhihai, et al.. (2009). A Smart Design for the TAN Classifier. 14. 72–75. 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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