Zeke Wang

1.0k citations
56 papers · 670 · h-index 15

Impact in

Papers in

Zeke Wang

51 papers receiving 642 citations

Peers

Zeke Wang
Comparison fields: 5 of 58
  • Hardware and Architecture 318
  • Computer Networks and Communications 332
  • Signal Processing 84
  • Computer Vision and Pattern Recognition 111
  • Information Systems 108
Replace Daniel Chavarría-Miranda with:
Daniel Chavarría-Miranda United States
A. Gacic United States
Mary Inaba Japan
Shirley Moore United States
Kuen Hung Tsoi United Kingdom
Bryan Singer United States
Tarek S. Abdelrahman Canada
P. Cappello United States
René Cumplido Mexico
Zeke Wang relative to Daniel Chavarría-Miranda United States Daniel Chavarría-Miranda's profile →
Citations per field
00.5×4.3×
Daniel Chavarría-Miranda · 1×
Citations per year

Countries citing papers authored by Zeke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zeke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zeke 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 Zeke Wang Line = papers co-authored together Zeke Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 202059
3 202059
4 201449
5 201642
6 201532
7 201632
8 202128
9
G-NET: Effective GPU Sharing in NFV Systems
201828
10 201722
11 201921
12 201419
13 202318
14 201916
15 198714
16 198413
17 202112
18 201712
19 202012
20 198911

About Zeke Wang

Zeke Wang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 56 papers that have together received 670 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Advanced Data Storage Technologies (16 papers), Cloud Computing and Resource Management (7 papers), Advanced Database Systems and Queries (6 papers), Algorithms and Data Compression (6 papers), Network Packet Processing and Optimization (4 papers), Advanced Memory and Neural Computing (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Hardware and Architecture (318 citations), Computer Networks and Communications (332 citations), Signal Processing (84 citations), Computer Vision and Pattern Recognition (111 citations) and Information Systems (108 citations). Zeke Wang has collaborated with scholars based in China, Singapore and Switzerland. Frequent co-authors include Bingsheng He, Gustavo Alonso, Xue Liu, Wei Zhang, Jie Zhang, Qingxu Deng, David Sidler, Amit Kulkarni, Feng Yu and Wei Zhang. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment, American Journal of Veterinary Research and IEEE Transactions on Knowledge and Data Engineering.

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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