Yikai Wang

767 total citations
26 papers, 359 citations indexed

About

Yikai Wang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yikai Wang has authored 26 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 9 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yikai Wang's work include Domain Adaptation and Few-Shot Learning (5 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Blind Source Separation Techniques (4 papers). Yikai Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Blind Source Separation Techniques (4 papers). Yikai Wang collaborates with scholars based in China, United States and United Kingdom. Yikai Wang's co-authors include Yanwei Fu, Li Zhang, Chengming Xu, Chen Liu, Ying Guo, Zishu He, Xinwei Sun, Yuan Yao, Amanda F. Mejia and Mary Beth Nebel and has published in prestigious journals such as Journal of the American Statistical Association, Renewable and Sustainable Energy Reviews and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yikai Wang

22 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yikai Wang China 10 196 123 56 54 46 26 359
Ravi Krishna United States 5 209 1.1× 147 1.2× 30 0.5× 16 0.3× 16 0.3× 6 329
Jiangxiong Fang China 11 117 0.6× 270 2.2× 82 1.5× 16 0.3× 19 0.4× 33 475
Xiao Hu China 10 53 0.3× 244 2.0× 21 0.4× 15 0.3× 45 1.0× 33 389
Berkan Solmaz Türkiye 9 201 1.0× 308 2.5× 27 0.5× 19 0.4× 18 0.4× 16 388
Gunnam Suryanarayana India 9 55 0.3× 121 1.0× 37 0.7× 16 0.3× 24 0.5× 36 329
Arup Ray India 9 44 0.2× 92 0.7× 23 0.4× 32 0.6× 171 3.7× 25 460
Golnaz Ghiasi United States 10 227 1.2× 512 4.2× 54 1.0× 56 1.0× 7 0.2× 13 629
Zhongying Deng China 6 218 1.1× 506 4.1× 38 0.7× 43 0.8× 8 0.2× 15 632

Countries citing papers authored by Yikai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yikai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yikai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yikai Wang. A scholar is included among the top collaborators of Yikai 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 Yikai Wang. Yikai 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.
Wang, Yikai, Chenjie Cao, Jinhui Yu, et al.. (2025). Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency. 23237–23248.
2.
Li, Pengwei, Shaohua Luo, Yikai Wang, et al.. (2024). Mix design and mechanical properties of geopolymer building material using iron ore mine tailings. Renewable and Sustainable Energy Reviews. 211. 115274–115274. 6 indexed citations
3.
Wang, Kaihui, Jiaxuan Liu, Xiongwei Yang, et al.. (2024). A low-complexity 64QAM-based probabilistically shaped OFDM for W-band RoF system. W2B.6–W2B.6. 3 indexed citations
4.
Liu, Tong, et al.. (2024). Test-Time Linear Out-of-Distribution Detection. 23752–23761. 2 indexed citations
5.
Wang, Yikai, et al.. (2024). Decoding Clickbait: The Impact of Clickbait Types and Structures on Cognitive and Emotional Responses in Online Interactions. Cyberpsychology Behavior and Social Networking. 28(1). 18–27.
6.
Wang, Yikai & Ying Guo. (2023). LOCUS: A regularized blind source separation method with low-rank structure for investigating brain connectivity. The Annals of Applied Statistics. 17(2). 1307–1332. 1 indexed citations
7.
Gao, Jianxiong, Xuelin Qian, Yikai Wang, et al.. (2023). Coarse-to-Fine Amodal Segmentation with Shape Prior. 1262–1271. 11 indexed citations
8.
Wang, Yikai, et al.. (2023). FPGA-Based Demonstration of WDM-PAM4-PON System With Low-Complexity CMA. IEEE Photonics Technology Letters. 35(11). 621–624. 11 indexed citations
9.
Wang, Yikai, Xinwei Sun, & Yanwei Fu. (2022). Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 346–355. 27 indexed citations
11.
Wang, Yikai, Li Zhang, Yuan Yao, & Yanwei Fu. (2021). How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6240–6253. 40 indexed citations
12.
Wang, Yikai, Chengming Xu, Chen Liu, Li Zhang, & Yanwei Fu. (2020). Instance Credibility Inference for Few-Shot Learning. 12833–12842. 139 indexed citations
13.
Lukemire, Joshua, Yikai Wang, Amit Verma, & Ying Guo. (2020). HINT: A hierarchical independent component analysis toolbox for investigating brain functional networks using neuroimaging data. Journal of Neuroscience Methods. 341. 108726–108726. 2 indexed citations
14.
Liu, Chen, Chengming Xu, Yikai Wang, Li Zhang, & Yanwei Fu. (2020). An Embarrassingly Simple Baseline to One-shot Learning. 9 indexed citations
15.
Wang, Yikai & Ying Guo. (2019). A hierarchical independent component analysis model for longitudinal neuroimaging studies. NeuroImage. 189. 380–400. 21 indexed citations
16.
Wang, Yikai, et al.. (2018). Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. Brain Connectivity. 8(10). 579–594. 8 indexed citations
17.
Wang, Yikai & Zishu He. (2017). Thinned knowledge‐aided STAP by exploiting structural covariance matrix. IET Radar Sonar & Navigation. 11(8). 1266–1275. 18 indexed citations
18.
Wang, Yikai, Wei Xia, Zishu He, & Ying Sun. (2015). Polarimetric detection for vector-sensor processing in quaternion proper Gaussian noises. Multidimensional Systems and Signal Processing. 27(2). 597–618. 6 indexed citations
19.
Li, Yan, et al.. (2014). A lip localization method based on HSV transformation in smart phone environment. e 1. 1285–1290. 4 indexed citations
20.
Wang, Yikai, Wei Xia, & Zishu He. (2013). Polarimetric detection for vector-sensor array in quaternion Gaussian proper noise. 1164–1168. 2 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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