Xiaokang Wang

3.8k total citations · 2 hit papers
75 papers, 2.7k citations indexed

About

Xiaokang Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaokang Wang has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Xiaokang Wang's work include Tensor decomposition and applications (13 papers), Climate variability and models (7 papers) and Meteorological Phenomena and Simulations (7 papers). Xiaokang Wang is often cited by papers focused on Tensor decomposition and applications (13 papers), Climate variability and models (7 papers) and Meteorological Phenomena and Simulations (7 papers). Xiaokang Wang collaborates with scholars based in China, Canada and United States. Xiaokang Wang's co-authors include Laurence T. Yang, Lei Ren, M. Jamal Deen, Zihao Meng, Jiabao Dong, Zhao Li, M. Jamal Deen, Xia Xie, Jin Cui and Zhang Li and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Medicine.

In The Last Decade

Xiaokang Wang

67 papers receiving 2.7k citations

Hit Papers

A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-... 2020 2026 2022 2024 2020 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life
    2020 462 citations Lei Ren, Xiaokang Wang et al. IEEE Transactions on Industrial Informatics profile →
  2. Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications
    2024 41 citations Lei Ren, Zhang Li et al. profile →

Peers

Xiaokang Wang
Chao Lu United States
Bo Tang United States
Qi Zhu United States
Moez Krichen Tunisia
Bernhard Sick Germany
Mo Jamshidi United States
Xinhong Hei China
Yong Guan China
C. Krishna Mohan India
Li Zhu China
Chao Lu United States
Xiaokang Wang
Citations per year, relative to Xiaokang Wang Xiaokang Wang (= 1×) peers Chao Lu

Countries citing papers authored by Xiaokang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokang Wang. A scholar is included among the top collaborators of Xiaokang 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 Xiaokang Wang. Xiaokang 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, Pengfei, et al.. (2025). AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3598–3613.
2.
Wang, Xiaofen, et al.. (2025). Learning Schema Embeddings for Service Link Prediction: A Coupled Matrix-Tensor Factorization Approach. IEEE Transactions on Services Computing. 18(2). 883–896. 2 indexed citations
3.
Yang, Laurence T., et al.. (2025). THPFF: A tensor-based high-precision feature fusion model for multi-source data in smart healthcare systems. Information Fusion. 124. 103324–103324.
4.
Xu, Guoxia, Yang Liu, Lizhen Deng, Xiaokang Wang, & Hu Zhu. (2025). SMNet: A Semantic-Guided Mamba Network for Remote Sensing Change Detection. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 11116–11127.
5.
Zhang, Qingchen, et al.. (2024). System response curve based first‐order optimization algorithms for cyber‐physical‐social intelligence. Concurrency and Computation Practice and Experience. 36(21). 2 indexed citations
6.
Liu, Debin, et al.. (2024). Tensor-Empowered Hardware-Friendly Lightweight Deep Neural Networks for Vehicular Edge Computing. IEEE Transactions on Consumer Electronics. 71(1). 2175–2185. 1 indexed citations
7.
Yang, Laurence T., et al.. (2024). TT-RNNPool3D: A Tensor-Based High-Order RNNPool Model for Mobile Edge Consumer Applications. IEEE Transactions on Consumer Electronics. 1–1. 3 indexed citations
8.
Ren, Lei, et al.. (2024). BTFormer: A BNN-Based Trend-Aware Time-Series Prediction Model for Industrial Intelligence. IEEE Transactions on Industrial Informatics. 20(12). 14381–14390.
9.
Wang, Tianren, et al.. (2024). Identification of serum biomarkers and therapeutic targets for aortic diseases in obesity through multi-omics analysis. Journal of Thoracic Disease. 16(12). 8435–8449.
10.
Wang, Lijun, et al.. (2024). The impact of general anesthesia on the outcomes of preterm infants with gestational age less than 32 weeks delivered via cesarean section. Frontiers in Pharmacology. 15. 1360691–1360691. 3 indexed citations
11.
Deng, Lizhen, et al.. (2024). AMTrans: Auto-Correlation Multi-Head Attention Transformer for Infrared Spectral Deconvolution. Tsinghua Science & Technology. 30(3). 1329–1341. 2 indexed citations
12.
13.
Cheng, Kefei, et al.. (2022). Information Dissemination With Service-Oriented Incentive Mechanism in Industrial Internet of Things. IEEE Internet of Things Journal. 9(18). 16897–16907. 10 indexed citations
14.
15.
Zhang, Zufan, et al.. (2021). Edge-aided control dynamics for information diffusion in social Internet of Things. Neurocomputing. 485. 274–284. 11 indexed citations
16.
Wang, Xiaokang, et al.. (2020). A Tensor-Based Multiattributes Visual Feature Recognition Method for Industrial Intelligence. IEEE Transactions on Industrial Informatics. 17(3). 2231–2241. 89 indexed citations
17.
Cui, Jin, Lei Ren, Xiaokang Wang, & Zhang Li. (2019). Pairwise comparison learning based bearing health quantitative modeling and its application in service life prediction. Future Generation Computer Systems. 97. 578–586. 33 indexed citations
18.
Xin, Xin, Yang Cai, Changcheng Li, Xiaokang Wang, & Jiandong Zhao. (2018). Low Visibility License Plate Area Detection Based on Dark Channel Prior Method and Top Hat Operation. 270–273. 1 indexed citations
19.
Wang, Xiaokang, et al.. (2018). Improved Multi-Order Distributed HOSVD with Its Incremental Computing for Smart City Services. IEEE Transactions on Sustainable Computing. 6(3). 456–468. 36 indexed citations
20.
Wang, Xiaokang, Laurence T. Yang, Huazhong Liu, & M. Jamal Deen. (2017). A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives. IEEE Transactions on Big Data. 4(3). 325–340. 130 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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