Zi-Rui Wang

1.2k total citations · 1 hit paper
23 papers, 661 citations indexed

About

Zi-Rui Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zi-Rui Wang has authored 23 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Zi-Rui Wang's work include Handwritten Text Recognition Techniques (11 papers), Vehicle License Plate Recognition (6 papers) and Image Processing and 3D Reconstruction (5 papers). Zi-Rui Wang is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Vehicle License Plate Recognition (6 papers) and Image Processing and 3D Reconstruction (5 papers). Zi-Rui Wang collaborates with scholars based in China, United States and Hong Kong. Zi-Rui Wang's co-authors include Jun Du, Jaime Carbonell, Zihang Dai, Barnabás Póczos, Qi Dou, Meirui Jiang, Jiaming Wang, Jianshu Zhang, Wenchao Wang and Chin‐Hui Lee and has published in prestigious journals such as Pattern Recognition, Neural Networks and Computer-Aided Design.

In The Last Decade

Zi-Rui Wang

21 papers receiving 645 citations

Hit Papers

Characterizing and Avoiding Negative Transfer 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Zi-Rui Wang
Zi-Rui Wang
Citations per year, relative to Zi-Rui Wang Zi-Rui Wang (= 1×) peers Jingwei Chen

Countries citing papers authored by Zi-Rui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zi-Rui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zi-Rui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zi-Rui Wang. A scholar is included among the top collaborators of Zi-Rui 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 Zi-Rui Wang. Zi-Rui 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
2.
Wang, Zi-Rui, et al.. (2025). Energy focusing of flexural waves via algorithmically optimized coding metasurface lenses. Chinese Physics B. 34(9). 94302–94302.
3.
Wang, Zi-Rui, Shibo Liu, Ligang Liu, Qiang Zou, & Xiao‐Ming Fu. (2023). Computing smooth preferred feed direction fields with high material removal rates for efficient CNC tool paths. Computer-Aided Design. 164. 103591–103591. 5 indexed citations
4.
Liu, Liting, Zi-Rui Wang, Menghan Wang, & Gang Zhao. (2023). Quantitative Analysis of Ice Crystal Growth During Freezing of Dimethyl Sulfoxide Solutions Under Alternating Current Electric Fields. Biopreservation and Biobanking. 22(4). 383–394. 1 indexed citations
5.
Kornblith, Simon, Lala Li, Zi-Rui Wang, & Thao Nguyen. (2023). Guiding image captioning models toward more specific captions. 15213–15223. 6 indexed citations
6.
Jiang, Meirui, Zi-Rui Wang, & Qi Dou. (2022). HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 1087–1095. 92 indexed citations
7.
Wang, Zi-Rui & Jun Du. (2021). Fast writer adaptation with style extractor network for handwritten text recognition. Neural Networks. 147. 42–52. 10 indexed citations
8.
Wang, Zi-Rui & Jun Du. (2020). Joint architecture and knowledge distillation in CNN for Chinese text recognition. Pattern Recognition. 111. 107722–107722. 27 indexed citations
9.
Wang, Zi-Rui, Zihang Dai, Barnabás Póczos, & Jaime Carbonell. (2019). Characterizing and Avoiding Negative Transfer. 11285–11294. 281 indexed citations breakdown →
10.
11.
Wang, Zi-Rui, Jun Du, & Jiaming Wang. (2019). Writer-aware CNN for parsimonious HMM-based offline handwritten Chinese text recognition. Pattern Recognition. 100. 107102–107102. 32 indexed citations
12.
Wang, Zi-Rui, et al.. (2019). Joint Spatial and Radical Analysis Network For Distorted Chinese Character Recognition. 122–127. 10 indexed citations
13.
Wang, Jiaming, Jun Du, Jianshu Zhang, & Zi-Rui Wang. (2019). Multi-modal Attention Network for Handwritten Mathematical Expression Recognition. 1181–1186. 21 indexed citations
14.
Wang, Wenchao, et al.. (2018). DenseRAN for Offline Handwritten Chinese Character Recognition. 104–109. 44 indexed citations
15.
Wang, Wenchao, Jun Du, & Zi-Rui Wang. (2018). Parsimonious HMMs for Offline Handwritten Chinese Text Recognition. 145–150. 5 indexed citations
17.
Wang, Zi-Rui, et al.. (2017). Review of Chinese entity relation extraction. 633–637. 6 indexed citations
18.
Wang, Zi-Rui & Jun Du. (2016). Writer Code Based Adaptation of Deep Neural Network for Offline Handwritten Chinese Text Recognition. 313. 548–553. 8 indexed citations
19.
20.
Wang, Qing, et al.. (2015). A universal VAD based on jointly trained deep neural networks. 2282–2286. 29 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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