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

5 papers align trajectories

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.

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

2015 817 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection

2014 344 citations Yudong Zhang, Shuihua Wang‎ et al. Knowledge-Based Systems profile →
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

2020 313 citations Yudong Zhang, Shuihua Wang‎ et al. profile →
A review on extreme learning machine

2021 307 citations Shuihua Wang‎, Yudong Zhang et al. profile →
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 →
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 →
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

2020 260 citations Yudong Zhang, David S. Guttery et al. profile →
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 →
Deep learning in food category recognition

2023 245 citations Yudong Zhang, Zeyu Ren et al. profile →
Transfer learning for medical images analyses: A survey

2022 136 citations Xiang Yu, Shuihua Wang‎ et al. profile →
Deep Learning for Medical Image-Based Cancer Diagnosis

2023 121 citations Shuihua Wang‎, Yudong Zhang et al. profile →
A review of IoT applications in healthcare

2023 113 citations Jiaji Wang, Shuihua Wang‎ et al. profile →
Weakly supervised machine learning

2023 101 citations Zeyu Ren, Shuihua Wang‎ et al. CAAI Transactions on Intelligence Technology profile →
Internet of medical things: A systematic review

2023 69 citations Shuihua Wang‎, Yudong Zhang et al. profile →
RanMerFormer: Randomized vision transformer with token merging for brain tumor classification

2024 55 citations Shuihua Wang‎, Yudong Zhang et al. profile →
Late-Stage N-Atom Deletion of Multisubstituted 2-Azabicyclo[2.1.1]Hexanes

2025 20 citations Shuihua Wang‎ et al. profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Diff‐ CFFBNet : Diffusion‐Embedded Cross‐Layer Feature Fusion Bridge Network for Brain Tumor Segmentation 2025 ·International Journal of Imaging Systems and Technology ·(unknown), (unknown), Chaosheng Tang, Shuihua Wang‎, Junding Sun, Yudong Zhang	1
2	DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), Junding Sun, Hongyuan Zhang, Chaosheng Tang, (unknown), Shuihua Wang‎, Yudong Zhang	2
3	Texture graph transformer for prostate cancer classification 2024 ·Biomedical Signal Processing and Control ·Guokai Zhang, Lin Gao, Huan Liu, Shuihua Wang‎, Xiaowen Xu, Binghui Zhao	1
4	Vision transformer promotes cancer diagnosis: A comprehensive review 2024 ·Expert Systems with Applications ·Xiaoyan Jiang, Shuihua Wang‎, Yudong Zhang	14
5	Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature 2024 ·Biomimetics ·Zhe Liu, Zichen Li, Yudong Zhang, Anthony N. Mutukumira, (unknown), (unknown), Shuzhe Wang, Jiaji Wang, Shuihua Wang‎	7
6	CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation 2024 ·International Journal of Imaging Systems and Technology ·Junding Sun, (unknown), (unknown), Chaosheng Tang, Shuihua Wang‎, Yudong Zhang	0
7	ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules 2023 ·Computer Modeling in Engineering & Sciences ·(unknown), Huaqiang Chen, (unknown), Sheng Xu, (unknown), Shuwen Chen, Shuihua Wang‎, Xiaodong Gu, Yudong Zhang	2
8	ReRNet: A Deep Learning Network for Classifying Blood Cells 2023 ·Technology in Cancer Research & Treatment ·Ziquan Zhu, Shuihua Wang‎, Yudong Zhang	6
9	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 2023 ·CAAI Transactions on Intelligence Technology ·(unknown), Muhammad Attique Khan, (unknown), Nouf Abdullah Almujally, Shuihua Wang‎	23
10	Weakly supervised machine learning breakdown → 2023 ·CAAI Transactions on Intelligence Technology ·Zeyu Ren, Shuihua Wang‎, Yudong Zhang	101
11	A Multi-Directional Pixel-Swapping Approach (MPSA) for Entropy-Retained Reversible Data Hiding in Encrypted Images 2023 ·Entropy ·(unknown), V. M. Manikandan, Yudong Zhang, Shuihua Wang‎	5
12	CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis? 2023 ·Computers in Biology and Medicine ·Junding Sun, (unknown), Chaosheng Tang, Shuihua Wang‎, Yudong Zhang	2
13	FG-HFS: A feature filter and group evolution hybrid feature selection algorithm for high-dimensional gene expression data 2023 ·Expert Systems with Applications ·Zhaozhao Xu, (unknown), Chaosheng Tang, (unknown), Shuihua Wang‎, Junding Sun, Yudong Zhang	19
14	An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems 2023 ·Biomimetics ·(unknown), Ali Asghar Heidari, Shuihua Wang‎, Huiling Chen, Yudong Zhang	3
15	LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification 2022 ·Technology in Cancer Research & Treatment ·Zeyu Ren, Yudong Zhang, Shuihua Wang‎	30
16	PeMNet for Pectoral Muscle Segmentation 2022 ·Biology ·Xiang Yu, Shuihua Wang‎, J. M. Górriz, Xianwei Jiang, David S. Guttery, Yudong Zhang	8
17	A Secure Face Recognition for IoT-enabled Healthcare System 2022 ·ACM Transactions on Sensor Networks ·(unknown), Saiyed Umer, Ranjeet Kumar Rout, Shuihua Wang‎, M. Tanveer	13
18	TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model 2022 ·Computers in Biology and Medicine ·Junding Sun, (unknown), Chaosheng Tang, Shuihua Wang‎, Yudong Zhang	5
19	NSCGCN: A novel deep GCN model to diagnosis COVID-19 2022 ·Computers in Biology and Medicine ·Chaosheng Tang, (unknown), Junding Sun, Shuihua Wang‎, Yudong Zhang	13
20	MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images 2021 ·Knowledge-Based Systems ·Junding Sun, (unknown), Chaosheng Tang, Shuihua Wang‎, Yudong Zhang	16

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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