Mowei Wang

854 citations
23 papers · 573 · 1 hit paper · h-index 10

Impact in

Papers in

Mowei Wang

20 papers receiving 552 citations

Mowei Wang's Hit Papers

Machine Learning for Networking: Workflow, Advances and Opportunities 2017 · 313 citations
3130+3+6Years since publication100200300

Peers

Mowei Wang
Comparison fields: 5 of 56
  • Computer Networks and Communications 412
  • Signal Processing 62
  • Artificial Intelligence 152
  • Industrial and Manufacturing Engineering 46
  • Computer Vision and Pattern Recognition 86
Replace Martin Serror with:
Martin Serror Germany
Lianming Zhang China
Xu Zhu Japan
Liuwei Huo China
Thomas Bauschert Germany
Akram Hakiri France
Ala’ Darabseh Jordan
George Xilouris Greece
Bernhard Dieber Austria
Yicen Liu China
Mowei Wang relative to Martin Serror Germany Martin Serror's profile →
Citations per field
00.5×1.5×2.5×
Martin Serror · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mowei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mowei Wang Line = papers co-authored together Mowei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning for Networking: Workflow, Advances and Opportunities
Hit paper breakdown →
2017313
2 202257
3 202241
4 201828
5 201825
6 202223
7 201915
8 201813
9 202212
10 20229
11 20219
12 20228
13 20225
14 20194
15 20104
16 20213
17 20241
18 20231
19 20221
20 20191

About Mowei Wang

Mowei Wang is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science, having authored 23 papers that have together received 573 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (13 papers), Cloud Computing and Resource Management (6 papers), Network Traffic and Congestion Control (5 papers), Interconnection Networks and Systems (5 papers), Image and Video Quality Assessment (4 papers), Software System Performance and Reliability (4 papers), Advanced Optical Network Technologies (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (412 citations), Signal Processing (62 citations), Artificial Intelligence (152 citations), Industrial and Manufacturing Engineering (46 citations) and Computer Vision and Pattern Recognition (86 citations). Mowei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Cui, Shihan Xiao, Junchen Jiang, Xin Wang, Lu Lu, Liang Zhang, Kai Chen, Dan Yang, Jun Zhu and Xin Wang. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Network, IEEE Internet Computing, ACM SIGMETRICS Performance Evaluation Review and Proceedings of the ACM on Measurement and Analysis of Computing Systems.

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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