Mingyue Ji

3.3k total citations · 1 hit paper
108 papers, 1.6k citations indexed

About

Mingyue Ji is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mingyue Ji has authored 108 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Networks and Communications, 37 papers in Artificial Intelligence and 36 papers in Electrical and Electronic Engineering. Recurrent topics in Mingyue Ji's work include Caching and Content Delivery (58 papers), Cooperative Communication and Network Coding (56 papers) and Opportunistic and Delay-Tolerant Networks (24 papers). Mingyue Ji is often cited by papers focused on Caching and Content Delivery (58 papers), Cooperative Communication and Network Coding (56 papers) and Opportunistic and Delay-Tolerant Networks (24 papers). Mingyue Ji collaborates with scholars based in United States, Germany and China. Mingyue Ji's co-authors include Giuseppe Caire, Andreas F. Molisch, Jaime Llorca, Antonia M. Tulino, Rong‐Rong Chen, Shiqiang Wang, Kai Wan, Kevin Chan, Hua Sun and Daniela Tuninetti and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Mingyue Ji

100 papers receiving 1.6k citations

Hit Papers

Fundamental Limits of Caching in Wireless D2D Networks 2015 2026 2018 2022 2015 100 200 300
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. Fundamental Limits of Caching in Wireless D2D Networks
    2015 383 citations Mingyue Ji, Giuseppe Caire et al. IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyue Ji United States 19 1.4k 504 289 52 44 108 1.6k
Yanfei Fan Canada 12 583 0.4× 306 0.6× 114 0.4× 28 0.5× 19 0.4× 16 659
Xiaoxiong Zhong China 13 352 0.3× 180 0.4× 181 0.6× 64 1.2× 47 1.1× 66 563
Bing Luo China 14 332 0.2× 222 0.4× 386 1.3× 142 2.7× 31 0.7× 45 681
Supratim Deb United States 14 578 0.4× 390 0.8× 59 0.2× 42 0.8× 23 0.5× 25 702
Emre Özfatura United Kingdom 12 317 0.2× 189 0.4× 420 1.5× 37 0.7× 39 0.9× 23 606
Hülya Seferoğlu United States 15 717 0.5× 433 0.9× 78 0.3× 21 0.4× 103 2.3× 57 854
Riccardo Bassoli Germany 15 346 0.2× 236 0.5× 196 0.7× 87 1.7× 38 0.9× 79 662
Óscar González de Dios Spain 19 750 0.5× 1.1k 2.2× 66 0.2× 95 1.8× 23 0.5× 146 1.4k

Countries citing papers authored by Mingyue Ji

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Ji. A scholar is included among the top collaborators of Mingyue Ji 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 Mingyue Ji. Mingyue Ji 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.
Zhang, Xiaoxuan, Zengfu Wang, Mingyue Ji, et al.. (2024). A sea–land clutter classification framework for over-the-horizon radar based on weighted loss semi-supervised generative adversarial network. Engineering Applications of Artificial Intelligence. 133. 108526–108526. 4 indexed citations
2.
3.
Sun, Haijian, et al.. (2024). Physics-Informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges. IEEE Wireless Communications. 31(6). 170–177. 4 indexed citations
4.
5.
Wan, Kai, et al.. (2024). The Capacity Region of Information Theoretic Secure Aggregation With Uncoded Groupwise Keys. IEEE Transactions on Information Theory. 70(10). 6932–6949. 6 indexed citations
6.
Ji, Mingyue, et al.. (2024). Integration of Sense and Control for Uncertain Systems Based on Delayed Feedback Active Inference. Entropy. 26(11). 990–990. 1 indexed citations
7.
Wan, Kai, Xin Yao, Hua Sun, Mingyue Ji, & Giuseppe Caire. (2024). On the Information Theoretic Secure Aggregation With Uncoded Groupwise Keys. IEEE Transactions on Information Theory. 70(9). 6596–6619. 7 indexed citations
8.
Wan, Kai, et al.. (2024). Optimal Information Theoretic Secure Aggregation with Uncoded Groupwise Keys. 2736–2741. 1 indexed citations
9.
10.
Yun, Won Joon, Soyi Jung, Mingyue Ji, et al.. (2023). SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Transactions on Networking. 31(6). 2499–2514. 18 indexed citations
11.
Sarkar, Shamik, et al.. (2022). Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing. IEEE Transactions on Wireless Communications. 21(10). 8368–8384. 6 indexed citations
12.
Sarkar, Shamik, et al.. (2021). A Non-Cooperative Game-Based Distributed Beam Scheduling Framework for 5G Millimeter-Wave Cellular Networks. IEEE Transactions on Wireless Communications. 21(1). 489–504. 19 indexed citations
13.
Wan, Kai, et al.. (2020). Private Cache-aided Interference Alignment for Multiuser Private Information Retrieval. 1–8. 3 indexed citations
14.
Wan, Kai, Daniela Tuninetti, Pablo Piantanida, & Mingyue Ji. (2018). On Combination Networks with Cache-aided Relays and Users. International ITG Workshop on Smart Antennas. 1–7. 2 indexed citations
15.
Wan, Kai, Daniela Tuninetti, Mingyue Ji, & Pablo Piantanida. (2018). A Novel Asymmetric Coded Placement in Combination Networks with end-user\n Caches. arXiv (Cornell University). 5 indexed citations
16.
Wan, Kai, Daniela Tuninetti, Mingyue Ji, & Pablo Piantanida. (2017). Combination Networks with End-user-caches: Novel Achievable and Converse\n Bounds under Uncoded Cache Placement. arXiv (Cornell University). 7 indexed citations
17.
Wan, Kai, Mingyue Ji, Pablo Piantanida, & Daniela Tuninetti. (2017). Novel Outer Bounds and Inner Bounds with Uncoded Cache Placement for Combination Networks with End-User-Caches. arXiv (Cornell University). 6 indexed citations
18.
Wan, Kai, et al.. (2017). Combination Networks with Caches: Novel Inner and Outer Bounds with Uncoded Cache Placement.. arXiv (Cornell University). 3 indexed citations
19.
Ji, Mingyue, Antonia M. Tulino, Jaime Llorca, & Giuseppe Caire. (2014). Order Optimal Coded Delivery and Caching: Multiple Groupcast Index Coding.. arXiv (Cornell University). 8 indexed citations
20.
Ji, Mingyue, Antonia M. Tulino, Jaime Llorca, & Giuseppe Caire. (2014). Order Optimal Coded Caching-Aided Multicast under Zipf Demand Distributions.. arXiv (Cornell University). 12 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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