Shuihua Wang‎

23.7k total citations · 16 hit papers
356 papers, 16.5k citations indexed

About

Shuihua Wang‎ is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Shuihua Wang‎ has authored 356 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Artificial Intelligence, 121 papers in Computer Vision and Pattern Recognition and 117 papers in Neurology. Recurrent topics in Shuihua Wang‎'s work include Brain Tumor Detection and Classification (112 papers), COVID-19 diagnosis using AI (66 papers) and AI in cancer detection (55 papers). Shuihua Wang‎ is often cited by papers focused on Brain Tumor Detection and Classification (112 papers), COVID-19 diagnosis using AI (66 papers) and AI in cancer detection (55 papers). Shuihua Wang‎ collaborates with scholars based in China, United Kingdom and United States. Shuihua Wang‎'s co-authors include Yudong Zhang, Genlin Ji, Preetha Phillips, Zhengchao Dong, Siyuan Lu, Lenan Wu, J. M. Górriz, Jiquan Yang, Ming Yang and Xiang Yu and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Shuihua Wang‎

346 papers receiving 15.9k citations

Hit Papers

A Comprehensive Survey on... 2014 2026 2018 2022 2015 2014 2020 2021 2017 250 500 750
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 Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
    2015 817 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
  2. Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
    2014 344 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
  3. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
    2020 313 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
  4. A review on extreme learning machine
    2021 307 citations Shuihua Wang‎, Yudong Zhang et al. profile →
  5. Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
    2017 285 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
  6. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
    2020 277 citations Shuihua Wang‎, J. M. Górriz et al. profile →
  7. Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
    2020 260 citations Yudong Zhang, David S. Guttery et al. profile →
  8. Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling
    2018 257 citations Shuihua Wang‎ et al. profile →
  9. Deep learning in food category recognition
    2023 245 citations Yudong Zhang, Zeyu Ren et al. profile →
  10. Transfer learning for medical images analyses: A survey
    2022 136 citations Xiang Yu, Shuihua Wang‎ et al. profile →
  11. Deep Learning for Medical Image-Based Cancer Diagnosis
    2023 121 citations Shuihua Wang‎, Yudong Zhang et al. profile →
  12. A review of IoT applications in healthcare
    2023 113 citations Jiaji Wang, Shuihua Wang‎ et al. profile →
  13. Weakly supervised machine learning
    2023 101 citations Zeyu Ren, Shuihua Wang‎ et al. CAAI Transactions on Intelligence Technology profile →
  14. Internet of medical things: A systematic review
    2023 69 citations Shuihua Wang‎, Yudong Zhang et al. profile →
  15. RanMerFormer: Randomized vision transformer with token merging for brain tumor classification
    2024 55 citations Shuihua Wang‎, Yudong Zhang et al. profile →
  16. Late-Stage N-Atom Deletion of Multisubstituted 2-Azabicyclo[2.1.1]Hexanes
    2025 20 citations Shuihua Wang‎ et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shuihua Wang‎ 6.0k 5.2k 4.3k 3.4k 1.9k 356 16.5k
Yudong Zhang 8.8k 1.5× 8.2k 1.6× 5.5k 1.3× 5.9k 1.7× 3.3k 1.8× 1.0k 29.4k
Tanzila Saba 5.3k 0.9× 6.1k 1.2× 2.4k 0.6× 2.6k 0.8× 1.0k 0.6× 417 14.4k
Robertas Damaševičius 5.1k 0.9× 3.4k 0.6× 1.4k 0.3× 2.7k 0.8× 1.1k 0.6× 529 14.5k
Muhammad Attique Khan 4.5k 0.8× 4.3k 0.8× 2.0k 0.5× 2.3k 0.7× 1.2k 0.7× 314 12.3k
Zbigniew Wojna 6.9k 1.1× 10.0k 1.9× 708 0.2× 3.1k 0.9× 1.4k 0.8× 5 19.8k
Sergey Ioffe 8.2k 1.4× 11.9k 2.3× 800 0.2× 3.6k 1.1× 1.6k 0.9× 23 23.1k
Amjad Rehman 4.2k 0.7× 5.1k 1.0× 2.0k 0.5× 2.2k 0.7× 798 0.4× 397 11.6k
Dagan Feng 3.7k 0.6× 6.8k 1.3× 1.1k 0.3× 4.9k 1.5× 1.9k 1.0× 692 15.2k
Scott Reed 10.2k 1.7× 17.8k 3.4× 1.1k 0.3× 3.6k 1.1× 2.1k 1.2× 25 31.8k

Countries citing papers authored by Shuihua Wang‎

Since Specialization
Citations

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

Fields of papers citing papers by Shuihua Wang‎

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuihua Wang‎

This figure shows the co-authorship network connecting the top 25 collaborators of Shuihua Wang‎. A scholar is included among the top collaborators of Shuihua 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 Shuihua Wang‎. Shuihua 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.
Tang, Chaosheng, et al.. (2025). Diff‐ CFFBNet : Diffusion‐Embedded Cross‐Layer Feature Fusion Bridge Network for Brain Tumor Segmentation. International Journal of Imaging Systems and Technology. 35(3). 1 indexed citations
2.
Liu, Zhe, Zichen Li, Yudong Zhang, et al.. (2024). Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature. Biomimetics. 9(4). 216–216. 7 indexed citations
3.
Sun, Junding, et al.. (2024). CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation. International Journal of Imaging Systems and Technology. 34(5).
4.
Zhang, Guokai, Lin Gao, Huan Liu, et al.. (2024). Texture graph transformer for prostate cancer classification. Biomedical Signal Processing and Control. 99. 106890–106890. 1 indexed citations
5.
Jiang, Xiaoyan, Shuihua Wang‎, & Yudong Zhang. (2024). Vision transformer promotes cancer diagnosis: A comprehensive review. Expert Systems with Applications. 252. 124113–124113. 14 indexed citations
6.
7.
Tang, Chaosheng, et al.. (2024). MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network. Computer Methods and Programs in Biomedicine. 254. 108259–108259. 6 indexed citations
8.
Zhu, Ziquan, Shuihua Wang‎, & Yudong Zhang. (2023). ReRNet: A Deep Learning Network for Classifying Blood Cells. Technology in Cancer Research & Treatment. 22. 2223907744–2223907744. 6 indexed citations
9.
Khan, Muhammad Attique, et al.. (2023). B 2 C 3 NetF 2 : Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection. CAAI Transactions on Intelligence Technology. 8(4). 1374–1390. 23 indexed citations
10.
Ren, Zeyu, Shuihua Wang‎, & Yudong Zhang. (2023). Weakly supervised machine learning. CAAI Transactions on Intelligence Technology. 8(3). 549–580. 101 indexed citations breakdown →
11.
Manikandan, V. M., et al.. (2023). A Multi-Directional Pixel-Swapping Approach (MPSA) for Entropy-Retained Reversible Data Hiding in Encrypted Images. Entropy. 25(4). 563–563. 5 indexed citations
12.
Chen, Huaqiang, Sheng Xu, Shuwen Chen, et al.. (2023). ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules. Computer Modeling in Engineering & Sciences. 139(1). 361–382. 2 indexed citations
13.
Sun, Junding, et al.. (2023). CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?. Computers in Biology and Medicine. 159. 106847–106847. 2 indexed citations
14.
Heidari, Ali Asghar, et al.. (2023). An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems. Biomimetics. 8(5). 441–441. 3 indexed citations
15.
Ren, Zeyu, Yudong Zhang, & Shuihua Wang‎. (2022). LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification. Technology in Cancer Research & Treatment. 21. 2213866260–2213866260. 30 indexed citations
16.
Umer, Saiyed, et al.. (2022). A Secure Face Recognition for IoT-enabled Healthcare System. ACM Transactions on Sensor Networks. 19(3). 1–23. 13 indexed citations
17.
Yu, Xiang, Shuihua Wang‎, J. M. Górriz, et al.. (2022). PeMNet for Pectoral Muscle Segmentation. Biology. 11(1). 134–134. 8 indexed citations
18.
Sun, Junding, et al.. (2022). TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model. Computers in Biology and Medicine. 146. 105531–105531. 5 indexed citations
19.
Tang, Chaosheng, et al.. (2022). NSCGCN: A novel deep GCN model to diagnosis COVID-19. Computers in Biology and Medicine. 150. 106151–106151. 13 indexed citations
20.
Gautam, Chandan, Aruna Tiwari, Bharat Richhariya, et al.. (2019). Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks. 123. 191–216. 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.

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