Shuqiang Wang

6.3k total citations · 1 hit paper
221 papers, 3.7k citations indexed

About

Shuqiang Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shuqiang Wang has authored 221 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 33 papers in Computer Vision and Pattern Recognition and 28 papers in Molecular Biology. Recurrent topics in Shuqiang Wang's work include Functional Brain Connectivity Studies (15 papers), Brain Tumor Detection and Classification (15 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Shuqiang Wang is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Brain Tumor Detection and Classification (15 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Shuqiang Wang collaborates with scholars based in China, Hong Kong and United States. Shuqiang Wang's co-authors include Ji‐Huan He, Yanyan Shen, Baiying Lei, Yong Hu, Tianfu Wang, Michael K. Ng, Liming Deng, Xiangyu Wang, Qiankun Zuo and Xinyan Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

Shuqiang Wang

195 papers receiving 3.6k citations

Hit 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.

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease

2024 46 citations Qiankun Zuo, Baiying Lei et al. profile →

Peers

Shuqiang Wang

CVPR

EEE

RNMI

NEURO

Konstantina S. Nikita Greece

Tolga Taşdizen United States

Fangyu Li China

Hongwei Li China

José D. Martín‐Guerrero Spain

Kaixin Wang China

Xiaoli Zhang China

Guofeng Zhang China

Kelvin K. L. Wong Australia

M. Iqbal Saripan Malaysia

Konstantina S. Nikita Greece

Shuqiang Wang

866 ×1.3

812 ×1.4

CVPR

1.4k ×3.1

EEE

1.5k ×3.5

RNMI

192 ×0.4

NEURO

Citations per year, relative to Shuqiang Wang Shuqiang Wang (= 1×) peers Konstantina S. Nikita

Countries citing papers authored by Shuqiang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuqiang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuqiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuqiang Wang. A scholar is included among the top collaborators of Shuqiang 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 Shuqiang Wang. Shuqiang 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

Wang, Shuqiang, et al.. (2025). Liquid flow rate measurement for sucker-rod pumping wells with incomplete fillage using motor power and MSISSA-BiLSTM. Measurement. 249. 117072–117072.

Pang, Shanchen, et al.. (2025). MedFedProto: A semi-Supervised classification framework for medical images based on federated prototypical learning. Expert Systems with Applications. 300. 130332–130332.

Song, Daniel Y., Jiarun Liu, Md Jahidul Islam, et al.. (2025). Optimized Vessel Segmentation: A Structure-Agnostic Approach With Small Vessel Enhancement and Morphological Correction. IEEE Transactions on Image Processing. 34. 7168–7179. 1 indexed citations

Hu, Bowen, et al.. (2025). SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-Sampling From a Single Image. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3677–3689.

Zhou, Tong, Ding Chen, Feng Liu, et al.. (2025). BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer’s Disease. IEEE Transactions on Consumer Electronics. 71(2). 3087–3098. 2 indexed citations

Chen, Xuhang, et al.. (2024). Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4000–4008. 19 indexed citations

Yuan, Bin, et al.. (2024). Context-aware focal alignment network for micro-video multi-label classification. Pattern Analysis and Applications. 27(4). 1 indexed citations

Wang, Shuqiang, et al.. (2024). Surface amphiphilic hybrid porous polymers based on cage-like organosiloxanes for pipette tip solid-phase extraction of microcystins in water. Journal of Chromatography A. 1736. 465390–465390. 2 indexed citations

Lei, Baiying, Wanyi Fu, Peng Yang, et al.. (2024). Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. Medical Image Analysis. 97. 103213–103213. 19 indexed citations

10.

Cao, Bin, Han Qi, Shuqiang Wang, & Zhihan Lyu. (2024). Large-Scale Multiobjective Edge Server Offloading Optimization for Task-Intensive Vehicle-Road Cooperation. IEEE Internet of Things Journal. 12(6). 6685–6695.

11.

Li, Pengcheng, Mingyi Zhao, Shuqiang Wang, et al.. (2024). Organic Fertilizer with High Nutrient Levels Affected Peanut-Growing Soil Bacteria More Than Fungi at Low Doses. Agronomy. 14(4). 765–765. 3 indexed citations

12.

Zuo, Qiankun, et al.. (2024). A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10389–10403. 40 indexed citations

13.

Liu, Xing, et al.. (2023). Amending biochar affected enzyme activities and nitrogen turnover in Phaeozem and Luvisol. GCB Bioenergy. 15(8). 954–968. 11 indexed citations

14.

Chen, Xinyi, et al.. (2023). Addictive brain-network identification by spatial attention recurrent network with feature selection. Brain Informatics. 10(1). 2–2. 5 indexed citations

15.

Ren, Rui, et al.. (2023). 2D, 3D-QSAR study and docking of vascular endothelial growth factor receptor 3 (VEGFR3) inhibitors for potential treatment of retinoblastoma. Frontiers in Pharmacology. 14. 1177282–1177282. 2 indexed citations

16.

Shen, Yanyan, et al.. (2022). Brain MR Images Super-Resolution with the Consistent Features. 501–506. 2 indexed citations

17.

Wen, Yu, Baiying Lei, Shuqiang Wang, et al.. (2022). Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 4401–4415. 87 indexed citations

18.

Zhang, Liang, Zhiguang Feng, Ye Wang, & Shuqiang Wang. (2021). On reachable set estimation of nonlinear singular systems with distributed delay. International Journal of Adaptive Control and Signal Processing. 35(10). 1958–1969. 2 indexed citations

19.

Hong, Quan, Shuqiang Wang, Shuxin Liu, Xiangmei Chen, & Guangyan Cai. (2020). LRG1 May Accelerate the Progression of ccRCC via the TGF‐β Pathway. BioMed Research International. 2020(1). 1285068–1285068. 18 indexed citations

20.

Lei, Baiying, Feng Jiang, Xudong Jiang, et al.. (2020). Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Analysis. 64. 101716–101716. 193 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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