Erwei Wang

16 papers receiving 385 citations

Peers

Erwei Wang
Comparison fields: 5 of 27
  • Hardware and Architecture 201
  • Computer Vision and Pattern Recognition 222
  • Electrical and Electronic Engineering 141
  • Computational Theory and Mathematics 17
  • Computer Networks and Communications 22
Replace James J. Davis with:
James J. Davis United Kingdom
Jonghoon Jin United States
Vinayak Gokhale United States
Linyan Mei Belgium
Runbin Shi Hong Kong
Andrew C. Ling Canada
Jeff Pool United States
Kevin Siu Canada
Kartik Hegde United States
Erwei Wang relative to James J. Davis United Kingdom James J. Davis's profile →
Citations per field
00.5×1.5×2×
James J. Davis · 1×
Citations per year

Countries citing papers authored by Erwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019130
2 201952
3 202040
4 201834
5 201931
6 202231
7 202120
8 201813
9 202113
10 20228
11 20237
12 20224
13 20193
14 20232
15 20191
16 20261

About Erwei Wang

Erwei Wang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 16 papers that have together received 390 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (10 papers), Advanced Neural Network Applications (9 papers), VLSI and FPGA Design Techniques (3 papers), Advanced Memory and Neural Computing (2 papers), Parallel Computing and Optimization Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Hardware and Architecture (201 citations), Computer Vision and Pattern Recognition (222 citations), Electrical and Electronic Engineering (141 citations), Computational Theory and Mathematics (17 citations) and Computer Networks and Communications (22 citations). Erwei Wang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Peter Y. K. Cheung, James J. Davis, George Anthony Constantinides, Wayne W. Luk, Rongxuan Zhao, Ho-Cheung Ng, Xinyu Niu, Anthony Joseph Kenyon, Wing H. Ng and Adnan Mehonić. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems, Advanced Science, ACM Computing Surveys, ACM Transactions on Embedded Computing Systems and IEEE Transactions on Computers.

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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