Minghui Wang

2.0k total citations · 1 hit paper
54 papers, 1.3k citations indexed

About

Minghui Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Minghui Wang has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Minghui Wang's work include Advanced Image Fusion Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Minghui Wang is often cited by papers focused on Advanced Image Fusion Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Minghui Wang collaborates with scholars based in China, Hong Kong and Japan. Minghui Wang's co-authors include Yong Jiang, Sen Yang, Xiao Han, Xiyue Wang, Jun Zhang, Junzhou Huang, Wei Yang, Jing Zhang, Jing Zhang and Dan Du and has published in prestigious journals such as Bioresource Technology, Chemical Engineering Journal and Electrochemistry Communications.

In The Last Decade

Minghui Wang

49 papers receiving 1.3k citations

Hit Papers

Transformer-based unsupervised contrastive learning for h... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Wang China 18 425 401 366 214 175 54 1.3k
Jian Zheng China 24 383 0.9× 621 1.5× 842 2.3× 85 0.4× 366 2.1× 137 1.9k
Hong Zhao China 15 274 0.6× 491 1.2× 313 0.9× 136 0.6× 192 1.1× 134 2.0k
Manning Wang China 22 266 0.6× 645 1.6× 378 1.0× 179 0.8× 302 1.7× 124 1.7k
Yichi Zhang China 15 242 0.6× 405 1.0× 284 0.8× 45 0.2× 308 1.8× 62 1.4k
Dahong Qian China 21 221 0.5× 259 0.6× 664 1.8× 69 0.3× 265 1.5× 61 1.3k
Jiayin Zhou China 20 256 0.6× 448 1.1× 301 0.8× 25 0.1× 199 1.1× 91 1.3k
Yupei Zhang China 22 287 0.7× 210 0.5× 115 0.3× 76 0.4× 225 1.3× 109 1.4k
Yue Zhou China 16 300 0.7× 372 0.9× 253 0.7× 54 0.3× 121 0.7× 52 920
Zhen Chen China 17 307 0.7× 317 0.8× 193 0.5× 58 0.3× 86 0.5× 85 860
F. Javier Sánchez Spain 16 860 2.0× 1.2k 3.0× 964 2.6× 234 1.1× 115 0.7× 52 2.8k

Countries citing papers authored by Minghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Wang. A scholar is included among the top collaborators of Minghui 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 Minghui Wang. Minghui 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.
Jiang, Xinyu, Minghui Wang, Linyi Zhang, et al.. (2025). Simultaneous targeting of multiple etiological using a nanosized strategy for psoriasis management. Materials Today Bio. 35. 102593–102593. 1 indexed citations
2.
Zhou, Keliang, Wenlong Fan, Xin Cui, et al.. (2025). MPF-Net: A multi-scale feature learning network enhanced by prior knowledge integration for medical image segmentation. Alexandria Engineering Journal. 128. 200–212.
4.
Wang, Minghui, Hui Duan, Kun Zhang, et al.. (2023). Elliptical Supercritical Lens for Shaping Sub-Diffractive Transverse Optical Needle. Nanomaterials. 13(2). 242–242. 3 indexed citations
5.
Zhang, Jiawei, et al.. (2023). High magnetic performance ultra-thin Fe-6.5Si ribbons fabricated by planner flow casting and annealing. Journal of Magnetism and Magnetic Materials. 589. 171538–171538. 5 indexed citations
6.
Gao, Ruixuan, Xuming Li, Ning Shen, et al.. (2023). Development of lipidated polycarbonates with broad-spectrum antimicrobial activity. Biomaterials Science. 11(5). 1840–1852. 3 indexed citations
7.
Wang, Xiyue, Yuqi Fang, Sen Yang, et al.. (2023). CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing. 527. 100–109. 22 indexed citations
9.
Wang, Minghui, et al.. (2023). A DFT study on nitrogen enhancing mechanism of SRF niobium cavity performance. Computational Materials Science. 233. 112689–112689. 1 indexed citations
10.
Wang, Xiyue, Sen Yang, Jun Zhang, et al.. (2022). RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Analysis. 83. 102645–102645. 116 indexed citations
11.
Wang, Xiyue, Ruijie Wang, Sen Yang, et al.. (2022). Combining Radiology and Pathology for Automatic Glioma Classification. Frontiers in Bioengineering and Biotechnology. 10. 841958–841958. 15 indexed citations
12.
Wang, Xiyue, Sen Yang, Jun Zhang, et al.. (2022). Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Analysis. 81. 102559–102559. 283 indexed citations breakdown →
13.
Wang, Xiyue, Jun Zhang, Sen Yang, et al.. (2022). A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Analysis. 84. 102703–102703. 31 indexed citations
14.
Wang, Xiyue, Sen Yang, Yuqi Fang, et al.. (2021). SK-Unet: An Improved U-Net Model With Selective Kernel for the Segmentation of LGE Cardiac MR Images. IEEE Sensors Journal. 21(10). 11643–11653. 20 indexed citations
15.
Tian, Jiaxin, Xu Song, Yongqing Wang, et al.. (2021). Regulatory perspectives of combination products. Bioactive Materials. 10. 492–503. 32 indexed citations
16.
Wang, Xiyue, Tao Shen, Sen Yang, et al.. (2021). A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans. NeuroImage Clinical. 32. 102785–102785. 99 indexed citations
17.
Wang, Xiyue, Sen Yang, Yuqi Fang, et al.. (2020). Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method. IEEE Transactions on Cognitive and Developmental Systems. 14(1). 205–218. 25 indexed citations
18.
Wang, Xiyue, Yuqi Fang, Sen Yang, et al.. (2020). A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images. Medical Image Analysis. 68. 101914–101914. 41 indexed citations
19.
Wang, Minghui & Qiang Zhao. (2005). Optimal Model and Algorithm of Stage Plan of Intelligent Dispathing System for Marshalling Stations. Journal of the China Railway Society. 4 indexed citations
20.
Wang, Minghui. (2004). Study on the Application of Rough Set in Railway Dispatching System. Zhongguo tiedao kexue. 2 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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