Yijue Wang

734 total citations
13 papers, 485 citations indexed

About

Yijue Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Yijue Wang has authored 13 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in Yijue Wang's work include Privacy-Preserving Technologies in Data (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Advanced Battery Technologies Research (3 papers). Yijue Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Advanced Battery Technologies Research (3 papers). Yijue Wang collaborates with scholars based in United States, China and Mexico. Yijue Wang's co-authors include Haihong Pan, Lin Chen, Huimin Wang, Kewei Chen, Xiaoqun Zhang, Rong Yang, Jingjing An, Hao Li, Sanguthevar Rajasekaran and Caiwen Ding and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Access and Energy.

In The Last Decade

Yijue Wang

13 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yijue Wang United States	9	187	175	94	79	68	13	485
Md. Robiul Islam Bangladesh	5	174 0.9×	154 0.9×	39 0.4×	96 1.2×	20 0.3×	6	350
Nenad S. Jovicic Serbia	7	124 0.7×	76 0.4×	65 0.7×	118 1.5×	26 0.4×	12	374
Jinna Hu China	8	63 0.3×	236 1.3×	63 0.7×	42 0.5×	18 0.3×	15	480
Byung-Jae Choi South Korea	9	44 0.2×	86 0.5×	173 1.8×	107 1.4×	45 0.7×	56	479
Zhenwei He China	11	362 1.9×	407 2.3×	275 2.9×	295 3.7×	22 0.3×	20	912
N. Suthanthira Vanitha India	15	52 0.3×	151 0.9×	160 1.7×	64 0.8×	18 0.3×	76	547
Shixin Song China	11	402 2.1×	226 1.3×	42 0.4×	173 2.2×	37 0.5×	24	563
Jelena Kocić Serbia	5	120 0.6×	56 0.3×	65 0.7×	122 1.5×	19 0.3×	8	321
Kai Luo China	13	271 1.4×	233 1.3×	103 1.1×	162 2.1×	9 0.1×	43	569
Soo Siang Teoh Malaysia	12	95 0.5×	52 0.3×	41 0.4×	261 3.3×	12 0.2×	24	447

Countries citing papers authored by Yijue Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yijue Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijue Wang

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

All Works

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13 of 13 papers shown

Wang, Yijue, et al.. (2023). KE: A Knowledge Enhancing Framework for Machine Learning Models. The Journal of Physical Chemistry A. 127(40). 8437–8446. 2 indexed citations

Wang, Yijue, Nuo Xu, Kaleel Mahmood, et al.. (2022). Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. 2022 IEEE International Conference on Big Data (Big Data). 1 indexed citations

Wang, Yijue, Chenghong Wang, Hang Liu, et al.. (2022). Variance of the Gradient Also Matters: Privacy Leakage from Gradients. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations

Chen, Lin, et al.. (2022). Binocular visual dimension measurement method for rectangular workpiece with a precise stereoscopic matching algorithm. Measurement Science and Technology. 34(3). 35010–35010. 17 indexed citations

Xu, Dongkuan, Ian En-Hsu Yen, Yijue Wang, et al.. (2022). Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 190–200. 9 indexed citations

Chen, Lin, et al.. (2021). Online Estimating State of Health of Lithium-Ion Batteries Using Hierarchical Extreme Learning Machine. IEEE Transactions on Transportation Electrification. 8(1). 965–975. 54 indexed citations

Wang, Chenghong, Yijue Wang, Sheng Lin, et al.. (2021). A Secure and Efficient Federated Learning Framework for NLP. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7676–7682. 9 indexed citations

Wang, Yijue, Chenghong Wang, Zigeng Wang, et al.. (2021). Against Membership Inference Attack: Pruning is All You Need. 3141–3147. 24 indexed citations

Pan, Haihong, et al.. (2020). A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects. IEEE Access. 8. 119951–119960. 161 indexed citations

10.

Wang, Yijue, Chenghong Wang, Zigeng Wang, et al.. (2020). MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.. 5 indexed citations

11.

Chen, Lin, et al.. (2020). Battery state-of-health estimation based on a metabolic extreme learning machine combining degradation state model and error compensation. Energy. 215. 119078–119078. 87 indexed citations

12.

Chen, Lin, Huimin Wang, Yijue Wang, et al.. (2019). Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter. IEEE Transactions on Power Electronics. 35(6). 5850–5859. 56 indexed citations

13.

Wang, Yijue, et al.. (2015). Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis. Neurocomputing. 175. 132–145. 58 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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