Wenwen Wang

547 citations
49 papers · 380 indexed · h-index 12
Topics
Parallel Computing and Optimization Techniques (15 papers)Advanced Data Storage Technologies (7 papers)Cloud Computing and Resource Management (6 papers)

In The Last Decade

Wenwen Wang

40 papers receiving 367 citations

Peers

Wenwen Wang
Comparison fields: 5 of 78
  • Hardware and Architecture 132
  • Computer Networks and Communications 116
  • Artificial Intelligence 91
  • Computer Vision and Pattern Recognition 84
  • Information Systems 58
Replace Branden Ghena with:
Branden Ghena United States
Soumyajit Dey India
Chien-Ying Chen United States
Trong‐Yen Lee Taiwan
Zihao Liu China
Mansour H. Assaf Canada
Sébastien Lafond Finland
Chong-Min Kyung South Korea
Byungchul Tak South Korea
Yuan Meng China
Wenwen Wang relative to Branden Ghena United States Branden Ghena's profile →
Citations per field
00.5×3.4×
Branden Ghena · 1×
Citations per year

Countries citing papers authored by Wenwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenwen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenwen Wang. A scholar is included among the top collaborators of Wenwen 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 Wenwen Wang. Wenwen 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
#WorkIndexed citations
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{MLEE}: Effective Detection of Memory Leaks on Early-Exit Paths in {OS} Kernels
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15
Unleashing the power of learning: An enhanced learning-based approach for dynamic binary translation
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About Wenwen Wang

Wenwen Wang is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 49 papers that have together received 380 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (7 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Hardware and Architecture (132 citations), Software (44 citations) and Computer Networks and Communications (116 citations). Wenwen Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pen-Chung Yew, Lin Meng, Hiroyuki Tomiyama, Hengyi Li, Xuebin Yue, Antonia Zhai, Stephen McCamant, Zhichen Wang, Kangjie Lu and Xiaoli Gong. Their work appears in journals such as Journal of Biological Chemistry, Food Chemistry and Journal of Colloid and Interface Science.

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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