Mowei Wang

854 total citations · 1 hit paper
23 papers, 573 citations indexed

About

Mowei Wang is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mowei Wang has authored 23 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mowei Wang's work include Software-Defined Networks and 5G (13 papers), Cloud Computing and Resource Management (6 papers) and Network Traffic and Congestion Control (5 papers). Mowei Wang is often cited by papers focused on Software-Defined Networks and 5G (13 papers), Cloud Computing and Resource Management (6 papers) and Network Traffic and Congestion Control (5 papers). Mowei Wang collaborates with scholars based in China, United States and Hong Kong. Mowei Wang's co-authors include Yong Cui, Shihan Xiao, Junchen Jiang, Xin Wang, Liang Zhang, Lu Lu, Jun Zhu, Dan Yang, Kai Chen and Xin Wang and has published in prestigious journals such as IEEE/ACM Transactions on Networking, IEEE Network and IEEE Internet Computing.

In The Last Decade

Mowei Wang

20 papers receiving 552 citations

Hit Papers

Machine Learning for Networking: Workflow, Advances and O... 2017 2026 2020 2023 2017 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. Machine Learning for Networking: Workflow, Advances and Opportunities
    2017 313 citations Mowei Wang, Yong Cui et al. IEEE Network profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mowei Wang China 10 412 159 152 86 74 23 573
Lianming Zhang China 13 434 1.1× 114 0.7× 152 1.0× 56 0.7× 86 1.2× 51 571
Xu Zhu Japan 8 216 0.5× 122 0.8× 109 0.7× 39 0.5× 72 1.0× 17 395
Martin Serror Germany 8 281 0.7× 121 0.8× 99 0.7× 35 0.4× 97 1.3× 23 413
Yicen Liu China 13 318 0.8× 165 1.0× 66 0.4× 69 0.8× 72 1.0× 36 516
George Xilouris Greece 17 695 1.7× 314 2.0× 53 0.3× 103 1.2× 146 2.0× 81 858
Akram Hakiri France 9 634 1.5× 194 1.2× 67 0.4× 31 0.4× 126 1.7× 25 733
Liuwei Huo China 13 333 0.8× 234 1.5× 139 0.9× 56 0.7× 27 0.4× 22 553
Wenting Wei China 12 537 1.3× 184 1.2× 317 2.1× 52 0.6× 174 2.4× 41 720
Ala’ Darabseh Jordan 11 477 1.2× 91 0.6× 80 0.5× 37 0.4× 207 2.8× 18 577
Kamal Singh France 11 365 0.9× 158 1.0× 280 1.8× 55 0.6× 65 0.9× 31 621

Countries citing papers authored by Mowei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mowei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mowei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mowei Wang. A scholar is included among the top collaborators of Mowei 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 Mowei Wang. Mowei 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.
Huang, Hanlin, Tong Li, Haiyang Wang, et al.. (2024). Re-Architecting Buffer Management in Lossless Ethernet. IEEE/ACM Transactions on Networking. 32(6). 4749–4764. 1 indexed citations
2.
3.
Wang, Mowei, et al.. (2023). Datacenter Network Deserves Better Traffic Models. 124–130.
4.
Wang, Mowei, et al.. (2023). xNet: Modeling Network Performance With Graph Neural Networks. IEEE/ACM Transactions on Networking. 32(2). 1753–1767. 1 indexed citations
5.
Wang, Mowei, et al.. (2022). Traffic-Aware Buffer Management in Shared Memory Switches. IEEE/ACM Transactions on Networking. 30(6). 2559–2573. 9 indexed citations
6.
Cui, Yong, et al.. (2022). DeepCC: Bridging the Gap Between Congestion Control and Applications via Multiobjective Optimization. IEEE/ACM Transactions on Networking. 30(5). 2274–2288. 12 indexed citations
7.
Wang, Mowei, et al.. (2022). xNet: Improving Expressiveness and Granularity for Network Modeling with Graph Neural Networks. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 2028–2037. 23 indexed citations
8.
Liu, Zhiwen, Mowei Wang, & Yong Cui. (2022). Locality Matters! Traffic Demand Modeling in Datacenter Networks. 8–13. 1 indexed citations
9.
Wang, Mowei, et al.. (2022). Adaptive Bitrate with User-level QoE Preference for Video Streaming. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1279–1288. 41 indexed citations
10.
Wang, Mowei, et al.. (2022). Digital Twin for Networking: A Data-Driven Performance Modeling Perspective. IEEE Network. 37(3). 202–209. 57 indexed citations
11.
Wang, Mowei, et al.. (2021). Traffic-aware Buffer Management in Shared Memory Switches. 1–10. 9 indexed citations
12.
Zhang, Jie, Junjie Deng, Mowei Wang, et al.. (2021). The ACM Multimedia 2021 Meet Deadline Requirements Grand Challenge. 4863–4867. 3 indexed citations
13.
Wang, Mowei, Yong Cui, Shihan Xiao, et al.. (2019). Neural Network Meets DCN. ACM SIGMETRICS Performance Evaluation Review. 46(1). 97–99. 1 indexed citations
14.
Yang, Dan, et al.. (2019). L3VTP. 138–140. 4 indexed citations
15.
Zhang, Lei, et al.. (2019). Machine Learning for Internet Congestion Control: Techniques and Challenges. IEEE Internet Computing. 23(5). 59–64. 15 indexed citations
16.
Wang, Mowei, Shihan Xiao, Xin Wang, et al.. (2018). Neural Network Meets DCN. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(2). 1–25. 28 indexed citations
17.
Wang, Mowei, et al.. (2018). Low-Latency Networking: Architecture, Techniques, and Opportunities. IEEE Internet Computing. 22(5). 56–63. 13 indexed citations
18.
Wang, Mowei, Yong Cui, Shihan Xiao, et al.. (2018). Neural Network Meets DCN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 97–99. 25 indexed citations
19.
Wang, Mowei. (2010). MODIS-based Retrieval of Atmospheric Water Vapor Content in Northeast China. Zhongguo nongye qixiang.
20.

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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