Erwei Wang

672 total citations
23 papers, 433 citations indexed

About

Erwei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Erwei Wang has authored 23 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Erwei Wang's work include Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Advanced Memory and Neural Computing (4 papers). Erwei Wang is often cited by papers focused on Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Advanced Memory and Neural Computing (4 papers). Erwei Wang collaborates with scholars based in United Kingdom, China and United States. Erwei Wang's co-authors include Peter Y. K. Cheung, James J. Davis, George A. Constantinides, Xiaoting Li, Lixin Zhang, Fenghui Chen, Chaofeng Zhang, Rongxuan Zhao, Ho-Cheung Ng and Xinyu Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Erwei Wang

21 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erwei Wang United Kingdom 10 142 141 112 112 107 23 433
An Wang China 11 73 0.5× 47 0.3× 167 1.5× 108 1.0× 14 0.1× 53 401
Mohammad Javad Rashti Canada 11 77 0.5× 32 0.2× 31 0.3× 108 1.0× 7 0.1× 21 330
Chanjuan Liu China 12 56 0.4× 101 0.7× 141 1.3× 66 0.6× 34 0.3× 41 409
Yangyang He China 14 17 0.1× 160 1.1× 131 1.2× 86 0.8× 18 0.2× 48 476
Xu Ma China 9 48 0.3× 30 0.2× 55 0.5× 340 3.0× 51 0.5× 21 464
Changlin Li China 9 154 1.1× 17 0.1× 53 0.5× 127 1.1× 18 0.2× 28 358
Jinjing Zhou China 4 161 1.1× 48 0.3× 26 0.2× 284 2.5× 4 0.0× 5 391
Dongyuan Li China 12 81 0.6× 32 0.2× 67 0.6× 127 1.1× 21 0.2× 48 383
Ji Gao China 10 38 0.3× 10 0.1× 97 0.9× 410 3.7× 35 0.3× 27 573
Dongseop Kwon South Korea 11 43 0.3× 98 0.7× 168 1.5× 120 1.1× 5 0.0× 34 524

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-authorship network of co-authors of Erwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Erwei Wang. A scholar is included among the top collaborators of Erwei 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 Erwei Wang. Erwei 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.
Yao, Binbin, et al.. (2024). Electrochemical Deposition and Etching of Quasi-Two-Dimensional Periodic Membrane Structure. Molecules. 29(8). 1775–1775. 1 indexed citations
2.
Li, Yumin, et al.. (2024). Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong. SHILAP Revista de lepidopterología. 187. 4014–4014. 1 indexed citations
3.
Yao, Binbin, et al.. (2023). The high-pressure behavior of heavy rare earth sesquisulfides Re2S3 (Re=Ho, Tm). Physica B Condensed Matter. 660. 414907–414907.
4.
Wang, Erwei, et al.. (2023). Enabling Binary Neural Network Training on the Edge. ACM Transactions on Embedded Computing Systems. 22(6). 1–19. 6 indexed citations
5.
Xu, Yongsheng, et al.. (2023). High-Coercivity Cobalt Nanowire Arrays: Synthesis and Heat Treatment. Crystal Growth & Design. 23(10). 7141–7149. 2 indexed citations
6.
Wang, Erwei, et al.. (2023). Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–25. 2 indexed citations
7.
8.
Wang, Erwei, et al.. (2022). Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets. Expert Systems with Applications. 210. 118503–118503. 28 indexed citations
9.
Wang, Erwei, James J. Davis, Piotr Zieliński, et al.. (2021). Enabling Binary Neural Network Training on the Edge. Spiral (Imperial College London). 37–38. 8 indexed citations
10.
Wang, Ran, Tiantian Jia, Rui Qi, et al.. (2021). Differentiated Impact of Politics- and Science-Oriented Education on Pro-Environmental Behavior: A Case Study of Chinese University Students. Sustainability. 13(2). 616–616. 18 indexed citations
11.
Wang, Erwei, James J. Davis, Peter Y. K. Cheung, & George A. Constantinides. (2020). LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. IEEE Transactions on Computers. 69(12). 1795–1808. 31 indexed citations
12.
Xu, Yongsheng, et al.. (2020). Synthesis and physical property of GaN:Mn nanoparticles. Physica E Low-dimensional Systems and Nanostructures. 126. 114445–114445. 2 indexed citations
13.
14.
Wang, Erwei, James J. Davis, Peter Y. K. Cheung, & George A. Constantinides. (2019). LUTNet: Rethinking Inference in FPGA Soft Logic. Spiral (Imperial College London). 26–34. 41 indexed citations
15.
Wang, Erwei, James J. Davis, Rongxuan Zhao, et al.. (2019). Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. arXiv (Cornell University). 15 indexed citations
16.
Wang, Erwei, James J. Davis, Rongxuan Zhao, et al.. (2019). Deep Neural Network Approximation for Custom Hardware. ACM Computing Surveys. 52(2). 1–39. 50 indexed citations
17.
Zhao, Yiren, Xitong Gao, Junyi Liu, et al.. (2019). Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. 45–53. 27 indexed citations
18.
Chen, Fenghui, Lixin Zhang, Erwei Wang, Chaofeng Zhang, & Xiaoting Li. (2018). LncRNA GAS5 regulates ischemic stroke as a competing endogenous RNA for miR-137 to regulate the Notch1 signaling pathway. Biochemical and Biophysical Research Communications. 496(1). 184–190. 119 indexed citations
19.
Wang, Erwei, James J. Davis, & Peter Y. K. Cheung. (2018). A PYNQ-Based Framework for Rapid CNN Prototyping. 223–223. 32 indexed citations
20.
Zhao, Rongxuan, Shuanglong Liu, Ho-Cheung Ng, et al.. (2018). Hardware Compilation of Deep Neural Networks: An Overview. Spiral (Imperial College London). 1–8. 8 indexed citations

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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