Moming Duan

919 total citations · 1 hit paper
17 papers, 498 citations indexed

About

Moming Duan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, Moming Duan has authored 17 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 3 papers in Computer Science Applications. Recurrent topics in Moming Duan's work include Privacy-Preserving Technologies in Data (7 papers), Caching and Content Delivery (5 papers) and Advanced Data Storage Technologies (5 papers). Moming Duan is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Caching and Content Delivery (5 papers) and Advanced Data Storage Technologies (5 papers). Moming Duan collaborates with scholars based in China, Singapore and United States. Moming Duan's co-authors include Duo Liu, Xianzhang Chen, Yujuan Tan, Liang Liang, Renping Liu, Ao Ren, Li Li, Yu Wu, Chengliang Wang and Yu Zhang and has published in prestigious journals such as Neural Networks, IEEE Internet of Things Journal and Future Generation Computer Systems.

In The Last Decade

Moming Duan

16 papers receiving 487 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.

Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems

2020 296 citations Moming Duan, Duo Liu 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
Moming Duan China	8	429	122	75	74	64	17	498
Yiqun Diao Singapore	2	503 1.2×	85 0.7×	53 0.7×	53 0.7×	69 1.1×	5	566
Renping Liu China	5	285 0.7×	82 0.7×	46 0.6×	52 0.7×	53 0.8×	9	355
Briland Hitaj United States	3	751 1.8×	69 0.6×	94 1.3×	60 0.8×	70 1.1×	5	809
Lichuan Ma China	7	246 0.6×	140 1.1×	122 1.6×	73 1.0×	82 1.3×	15	407
Wei Tong China	9	242 0.6×	64 0.5×	66 0.9×	54 0.7×	55 0.9×	21	320
Jiasi Weng China	10	272 0.6×	89 0.7×	153 2.0×	74 1.0×	31 0.5×	17	382
Sina Shaham United States	7	285 0.7×	42 0.3×	57 0.8×	68 0.9×	36 0.6×	18	386
Renwan Bi China	8	190 0.4×	67 0.5×	69 0.9×	60 0.8×	31 0.5×	14	312
Hyesung Kim South Korea	8	612 1.4×	219 1.8×	357 4.8×	147 2.0×	88 1.4×	13	801
Xuanli He Australia	10	281 0.7×	122 1.0×	46 0.6×	43 0.6×	20 0.3×	26	376

Countries citing papers authored by Moming Duan

Since Specialization

Citations

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

Fields of papers citing papers by Moming Duan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moming Duan

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

17 of 17 papers shown

1.

Zhang, Binyan, Ao Ren, Moming Duan, et al.. (2025). MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. 1–5.

2.

Duan, Moming, Qinbin Li, & Bingsheng He. (2024). ModelGo: A Practical Tool for Machine Learning License Analysis. 1158–1169. 1 indexed citations

3.

Jiang, Linshan, Moming Duan, Bingsheng He, et al.. (2024). OFL-W3: A One-Shot Federated Learning System on Web 3.0. Proceedings of the VLDB Endowment. 17(12). 4461–4464. 1 indexed citations

4.

Liu, Duo, Moming Duan, Li Li, et al.. (2023). FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. IEEE Transactions on Parallel and Distributed Systems. 34(3). 1007–1019. 34 indexed citations

5.

Wu, Yu, et al.. (2022). LFPR: A Lazy Fast Predictive Repair Strategy for Mobile Distributed Erasure Coded Cluster. IEEE Internet of Things Journal. 10(1). 704–719. 5 indexed citations

6.

Li, Li, Duo Liu, Moming Duan, et al.. (2022). Federated learning with workload-aware client scheduling in heterogeneous systems. Neural Networks. 154. 560–573. 16 indexed citations

7.

Tan, Yujuan, et al.. (2022). Lazy repair with temporary redundancy(LRTR). 85–93. 2 indexed citations

8.

Li, Li, Moming Duan, Duo Liu, et al.. (2021). FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. 1–10. 33 indexed citations

9.

Duan, Moming, Duo Liu, Yu Wu, et al.. (2021). Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. IEEE Transactions on Parallel and Distributed Systems. 1–1. 70 indexed citations

10.

Chen, Xianzhang, Duo Liu, Yujuan Tan, et al.. (2021). A machine learning assisted data placement mechanism for hybrid storage systems. Journal of Systems Architecture. 120. 102295–102295. 9 indexed citations

11.

Chen, Xianzhang, et al.. (2021). Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults. 94–97. 1 indexed citations

12.

Duan, Moming, Duo Liu, Xianzhang Chen, et al.. (2020). Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems. IEEE Transactions on Parallel and Distributed Systems. 32(1). 59–71. 296 indexed citations breakdown →

13.

Duan, Moming, Duo Liu, Ren Ping Liu, et al.. (2020). FedGroup: Accurate Federated Learning via Decomposed Similarity-Based Clustering. arXiv (Cornell University). 2 indexed citations

14.

Chen, Xianzhang, Yujuan Tan, Duo Liu, et al.. (2019). Archivist: A Machine Learning Assisted Data Placement Mechanism for Hybrid Storage Systems. 676–679. 7 indexed citations

15.

Liu, Duo, et al.. (2019). Reducing Write Amplification for Inodes of Journaling File System using Persistent Memory. 866–871. 1 indexed citations

16.

Liu, Duo, Xianzhang Chen, Renping Liu, et al.. (2018). FitCNN: A cloud-assisted and low-cost framework for updating CNNs on IoT devices. Future Generation Computer Systems. 91. 277–289. 14 indexed citations

17.

Zhong, Kan, et al.. (2018). TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems. 136–141. 6 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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