Jed Mills

1.0k total citations · 2 hit papers
8 papers, 650 citations indexed

About

Jed Mills is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Jed Mills has authored 8 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Jed Mills's work include Privacy-Preserving Technologies in Data (7 papers), Stochastic Gradient Optimization Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Jed Mills is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Stochastic Gradient Optimization Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Jed Mills collaborates with scholars based in United Kingdom and United States. Jed Mills's co-authors include Geyong Min, Jia Hu, Rui Jin, Zhengxin Yu, Han Xu, Jin Wang and Nektarios Georgalas and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Computers and IEEE Internet of Things Journal.

In The Last Decade

Jed Mills

8 papers receiving 646 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.

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

2019 332 citations Jed Mills, Jia Hu et al. IEEE Internet of Things Journal profile →
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

2021 198 citations Jed Mills, Jia Hu et al. IEEE Transactions on Parallel and Distributed Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jed Mills United Kingdom	7	489	224	157	123	97	8	650
Sawsan AbdulRahman Lebanon	4	619 1.3×	218 1.0×	155 1.0×	125 1.0×	112 1.2×	7	761
Zhiyuan Wang China	12	424 0.9×	199 0.9×	84 0.5×	104 0.8×	62 0.6×	38	580
Urmish Thakker United States	5	397 0.8×	180 0.8×	99 0.6×	75 0.6×	54 0.6×	8	511
Hyesung Kim South Korea	8	612 1.3×	219 1.0×	147 0.9×	357 2.9×	88 0.9×	13	801
Dian Shi China	11	256 0.5×	200 0.9×	148 0.9×	53 0.4×	90 0.9×	15	477
Jer Shyuan Ng Singapore	9	447 0.9×	300 1.3×	184 1.2×	128 1.0×	98 1.0×	21	705
Yujuan Tan China	13	546 1.1×	455 2.0×	94 0.6×	319 2.6×	75 0.8×	83	924
Xiong Wang China	12	233 0.5×	231 1.0×	112 0.7×	98 0.8×	203 2.1×	30	552
Zuobin Xiong United States	10	395 0.8×	120 0.5×	71 0.5×	80 0.7×	47 0.5×	21	599

Countries citing papers authored by Jed Mills

Since Specialization

Citations

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

Fields of papers citing papers by Jed Mills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jed Mills

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

8 of 8 papers shown

1.

Mills, Jed, Jia Hu, & Geyong Min. (2023). Faster Federated Learning With Decaying Number of Local SGD Steps. IEEE Transactions on Parallel and Distributed Systems. 34(7). 2198–2207. 6 indexed citations

2.

Jin, Rui, Jia Hu, Geyong Min, & Jed Mills. (2023). Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning. IEEE Transactions on Computers. 72(11). 3314–3325. 28 indexed citations

3.

Wang, Jin, et al.. (2023). Federated Ensemble Model-Based Reinforcement Learning in Edge Computing. IEEE Transactions on Parallel and Distributed Systems. 34(6). 1848–1859. 25 indexed citations

4.

Mills, Jed, et al.. (2022). Accelerating Federated Learning With a Global Biased Optimiser. IEEE Transactions on Computers. 72(6). 1804–1814. 10 indexed citations

5.

Mills, Jed, Jia Hu, & Geyong Min. (2022). Client-Side Optimization Strategies for Communication-Efficient Federated Learning. IEEE Communications Magazine. 60(7). 60–66. 17 indexed citations

6.

Mills, Jed, Jia Hu, & Geyong Min. (2021). Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing. IEEE Transactions on Parallel and Distributed Systems. 33(3). 630–641. 198 indexed citations breakdown →

7.

Yu, Zhengxin, Jia Hu, Geyong Min, Han Xu, & Jed Mills. (2020). Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning. 601–608. 34 indexed citations

8.

Mills, Jed, Jia Hu, & Geyong Min. (2019). Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT. IEEE Internet of Things Journal. 7(7). 5986–5994. 332 indexed citations breakdown →

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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