Zeyu Wang

563 total citations
13 papers, 231 citations indexed

About

Zeyu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zeyu Wang has authored 13 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Zeyu Wang's work include Advanced Neural Network Applications (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). Zeyu Wang is often cited by papers focused on Advanced Neural Network Applications (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). Zeyu Wang collaborates with scholars based in China, United States and Australia. Zeyu Wang's co-authors include Olga Russakovsky, Kyle Genova, Kenji Hata, Niraj K. Jha, Hongxu Yin, Yunzhou Zhang, Honglei Liu, Xiaohua Zhang, Alan Yuille and Yuyin Zhou and has published in prestigious journals such as Optics Express, Journal of Systems and Software and Biomedical Signal Processing and Control.

In The Last Decade

Zeyu Wang

12 papers receiving 219 citations

Peers

Zeyu Wang

AI

CVPR

CNC

EEE

SR

Tan M. Nguyen United States

Marcin Piekarczyk Poland

Quentin Duval France

Chengzhi Mao United States

Sandra Ebert Germany

Anurag Chowdhury United States

Pradeep Kumar Mishra India

Abel G. Silva-Filho Brazil

Adrian Muscat Malta

Peter Jin United States

Tan M. Nguyen United States

Zeyu Wang

110 ×1.0

AI

70 ×0.8

CVPR

29 ×0.7

CNC

22 ×0.7

EEE

3 ×0.1

SR

Citations per year, relative to Zeyu Wang Zeyu Wang (= 1×) peers Tan M. Nguyen

Countries citing papers authored by Zeyu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zeyu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyu Wang. A scholar is included among the top collaborators of Zeyu 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 Zeyu Wang. Zeyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Wang, Zeyu, et al.. (2024). Revisiting Adversarial Training at Scale. 24675–24685. 2 indexed citations

2.

Wang, Zeyu, Weijian Liu, & Hongmeng Chen. (2024). Adaptive Detection for Multichannel Signals in Non-Ideal Environments. 1 indexed citations

3.

Lv, Jia, et al.. (2023). Medical image mis-segmentation region refinement framework based on dynamic graph convolution. Biomedical Signal Processing and Control. 86. 105064–105064. 7 indexed citations

4.

Bai, Yutong, Zeyu Wang, Junfei Xiao, et al.. (2023). Masked Autoencoders Enable Efficient Knowledge Distillers. 24256–24265. 30 indexed citations

5.

Qin, Rong, Zeyu Wang, Sheng Huang, & Luwen Huangfu. (2023). MSTIL: Multi-cue Shape-aware Transferable Imbalance Learning for effective graphic API recommendation. Journal of Systems and Software. 200. 111650–111650. 1 indexed citations

6.

Wang, Zeyu, et al.. (2022). 65‐1: Deep Learning‐Enabled Image Content Adaptive Driving Algorithm for Field Sequential Color LCDs with Mini‐LED Backlight. SID Symposium Digest of Technical Papers. 53(1). 857–860. 1 indexed citations

7.

Wang, Zeyu, Yutong Liu, Juanli Li, et al.. (2022). Deep learning-enabled image content-adaptive field sequential color LCDs with mini-LED backlight. Optics Express. 30(12). 21044–21044. 8 indexed citations

8.

Lin, Ying‐Dar, Zeyu Wang, Po‐Ching Lin, et al.. (2022). Multi-datasource machine learning in intrusion detection: Packet flows, system logs and host statistics. Journal of Information Security and Applications. 68. 103248–103248. 9 indexed citations

9.

Wang, Zeyu, Zimu Zhou, Xu Wang, et al.. (2022). Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU. 145–153. 3 indexed citations

10.

Wang, Zeyu, Sheng Huang, Zhongxin Liu, et al.. (2021). Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. 458–469.

11.

Wang, Zeyu, et al.. (2020). Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. 8916–8925. 127 indexed citations

12.

Yin, Hongxu, Zeyu Wang, & Niraj K. Jha. (2018). A Hierarchical Inference Model for Internet-of-Things. 4(3). 260–271. 18 indexed citations

13.

Zhang, Yunzhou, et al.. (2014). HDRE: Coverage hole detection with residual energy in wireless sensor networks. Journal of Communications and Networks. 16(5). 493–501. 24 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.

Explore authors with similar magnitude of impact