Minghui Wang

2.9k citations

101 papers · 2.0k · h-index 24

Impact in

Cancer Research top 5%
- Cancer-related molecular mechanisms research
Neurology top 5%
- Brain Tumor Detection and Classification

Papers in

Molecular Biology 44
- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 16
- Machine Learning in Bioinformatics 10
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
Artificial Intelligence 38
- AI in cancer detection 21

Co-authors: Ao Li (62 shared papers)Dongdong Sun (9 shared papers)Haichun Li (3 shared papers)Jianing Xi (8 shared papers)Jianghong Yang (4 shared papers)Liang Ding (1 shared paper)Huanqing Feng (3 shared papers)Peng Chen (2 shared papers)
Journals: Molecular BioSystems (6 papers)IEEE Journal of Biomedical and Health Informatics (5 papers)Bioinformatics (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Neurocomputing (4 papers)
Partner nations: China United States Japan

In The Last Decade

Minghui Wang

90 papers receiving 2.0k citations

Peers

Replace Ao Li with:

Ao Li China

Lan Huang China

Rubén Armañanzas Spain

Abdollah Dehzangi United States

Swakkhar Shatabda Bangladesh

Lin Gao China

Byunghan Lee South Korea

Ling‐Yun Wu China

Min Zeng China

Minghui Wang relative to Ao Li China Ao Li's profile →

Citations per field

00.5×1.5×

Ao Li · 1×

×0.6 437/753

CR

×0.8 173/208

NEURO

×0.9 643/728

AI

×0.8 365/439

RNMI

×0.5 907/2k

MB

Citations per year

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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-authors

The 25 scholars most cited alongside Minghui Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minghui Wang Line = papers co-authored together Minghui Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Dongdong Sun, Minghui Wang, Ao Li	2018	234
2	A novel end-to-end brain tumor segmentation method using improved fully convolutional networks Computers in Biology and Medicine ·Haichun Li, Ao Li, Minghui Wang	2019	140
3	Prediction of Nε-acetylation on internal lysines implemented in Bayesian Discriminant Method Biochemical and Biophysical Research Communications ·Ao Li, Yu Xue, Changjiang Jin, Minghui Wang, Xuebiao Yao	2006	96
4	Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome Computer Methods and Programs in Biomedicine ·Dongdong Sun, Ao Li, Bo Tang, Minghui Wang	2018	96
5	A novel heterogeneous network-based method for drug response prediction in cancer cell lines Scientific Reports ·Fei Zhang, Minghui Wang, Jianing Xi, Jianghong Yang, Ao Li	2018	92
6	GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction Bioinformatics ·Zhiqin Wang, LI Rui-qing, Minghui Wang, Ao Li	2021	83
7	A Bipartite Network-Based Method for Prediction of Long Non-Coding RNA–Protein Interactions Genomics Proteomics & Bioinformatics ·Mengqu Ge, Ao Li, Minghui Wang	2016	82
8	TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph Scientific Reports ·Liang Ding, Minghui Wang, Dongdong Sun, Ao Li	2018	81
9	Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model BioMed Research International ·Ao Li, Mengqu Ge, Yao Zhang, Peng Chen, Minghui Wang	2015	75
10	HFBSurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction Bioinformatics ·LI Rui-qing, Xingqi Wu, Ao Li, Minghui Wang	2022	70
11	A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm IEEE Transactions on Emerging Topics in Computational Intelligence ·Kangjia Qiao, Jing Liang, Kunjie Yu, Minghui Wang, Boyang Qu, Caitong Yue, Yinan Guo	2023	69
12	NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity Molecular BioSystems ·Dongdong Sun, Ao Li, Huanqing Feng, Minghui Wang	2016	58
13	A novel approach for drug response prediction in cancer cell lines via network representation learning Bioinformatics ·Jianghong Yang, Ao Li, Yongqiang Li, Xiangqian Guo, Minghui Wang	2018	47
14	Applications of UAS in Crop Biomass Monitoring: A Review Frontiers in Plant Science ·Tianhai Wang, Yadong Liu, Minghui Wang, Qing Fan, Hongkun Tian, Xi Qiao, Yanzhou Li	2021	44
15	CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images IEEE Access ·(unknown), Ao Li, Bin Li, Minghui Wang	2019	44
16	A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-Omics Data IEEE Journal of Biomedical and Health Informatics ·Ya Zhang, Ao Li, Jie He, Minghui Wang	2019	36
17	Tungsten disulfide (WS2) nanosheet-based photoelectrochemical aptasensing of chloramphenicol Microchimica Acta ·Yunlei Zhou, Chengji Sui, Huanshun Yin, Yue Wang, Minghui Wang, Shiyun Ai	2018	32
18	LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Tianyi Zhang, Minghui Wang, Jianing Xi, Ao Li	2018	30
19	A novel method for user-defined human posture recognition using Kinect Zequn Zhang, Yuanning Liu, Ao Li, Minghui Wang	2014	28
20	A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints Neurocomputing ·Jianing Xi, Ao Li, Minghui Wang	2018	28

About Minghui Wang

Minghui Wang is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cancer-related molecular mechanisms research (12 papers), Machine Learning in Bioinformatics (10 papers), RNA Research and Splicing (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cancer Research (437 citations), Neurology (173 citations), Artificial Intelligence (643 citations), Radiology, Nuclear Medicine and Imaging (365 citations) and Molecular Biology (907 citations). Minghui Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ao Li, Dongdong Sun, Haichun Li, Jianing Xi, Jianghong Yang, Liang Ding, Huanqing Feng, Peng Chen, Changjiang Jin and Yu Xue. Their work appears in journals such as Molecular BioSystems, IEEE Journal of Biomedical and Health Informatics, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Neurocomputing.

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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About Minghui Wang

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