Minghui Liu

1.8k total citations
106 papers, 1.1k citations indexed

About

Minghui Liu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Minghui Liu has authored 106 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Minghui Liu's work include Advanced Neural Network Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Minghui Liu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Minghui Liu collaborates with scholars based in China, United Kingdom and Belgium. Minghui Liu's co-authors include Jie Sui, Glyn W. Humphreys, Carmel Mevorach, Yong Wang, Zhizhong Dong, Peng Wu, Jingjing Wang, Xiao Dong Chen, Lei Liu and Yingda Huang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Langmuir.

In The Last Decade

Minghui Liu

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Liu China 16 252 193 153 128 121 106 1.1k
Ziqian Chen China 23 114 0.5× 118 0.6× 86 0.6× 100 0.8× 88 0.7× 108 1.7k
Andrew Keong Ng Singapore 20 312 1.2× 375 1.9× 74 0.5× 61 0.5× 189 1.6× 59 1.5k
Majid Nour Saudi Arabia 23 270 1.1× 269 1.4× 50 0.3× 144 1.1× 194 1.6× 51 1.5k
Huiquan Wang China 19 137 0.5× 384 2.0× 57 0.4× 226 1.8× 100 0.8× 150 1.6k
Hao Dong China 20 466 1.8× 451 2.3× 89 0.6× 53 0.4× 112 0.9× 72 1.2k
Hai Yang China 20 87 0.3× 99 0.5× 67 0.4× 184 1.4× 109 0.9× 120 1.3k
Xiaoyu Liu China 22 96 0.4× 289 1.5× 38 0.2× 58 0.5× 97 0.8× 112 1.3k
Xinke Li China 18 297 1.2× 106 0.5× 40 0.3× 64 0.5× 73 0.6× 93 1.0k
Jaeil Kim South Korea 22 65 0.3× 295 1.5× 66 0.4× 117 0.9× 87 0.7× 91 1.7k
Mei Yang China 26 200 0.8× 391 2.0× 30 0.2× 118 0.9× 196 1.6× 88 1.5k

Countries citing papers authored by Minghui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Liu. A scholar is included among the top collaborators of Minghui Liu 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 Liu. Minghui Liu 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.
Wang, Huanhuan, et al.. (2025). The vacuole pH-related gene RcNHX2 affects flower color shift and Na+ homeostasis in roses. Plant Science. 357. 112476–112476.
2.
Zhu, Hongqiu, et al.. (2025). Optimal scheduling method for pressurized pumping stations with structural improvement. Journal of Water Process Engineering. 73. 107679–107679. 1 indexed citations
3.
4.
Zhan, W., S. Yang, Minghui Liu, F. Hautmann, & L. Han. (2025). Coarse-grained binning in Drell-Yan transverse momentum spectra. Physical review. D. 111(3). 1 indexed citations
5.
6.
Liu, Minghui, et al.. (2025). DNA color image encryption based on conservative chaotic system. Scientific Reports. 15(1). 9278–9278. 3 indexed citations
7.
Sun, Xiaohui, Xiangsheng Chen, Minghui Liu, et al.. (2024). Heavy metal retention mechanism in geopolymer-based flocculation-solidification of waste engineering spoil: Migration characteristic and sodium dodecyl sulfate enhancement. Journal of environmental chemical engineering. 13(1). 115148–115148.
8.
Liu, Minghui, et al.. (2024). Overview on Radiation Damage Effects and Protection Techniques in Microelectronic Devices. Science and Technology of Nuclear Installations. 2024(1). 11 indexed citations
9.
Liu, Minghui, et al.. (2024). Ship Network Traffic Engineering Based on Reinforcement Learning. Electronics. 13(9). 1710–1710. 2 indexed citations
10.
Liu, Minghui, Xuan Cheng, Jinqi Zhu, et al.. (2023). Self‐adaption and texture generation: A hybrid loss function for low‐dose CT denoising. Journal of Applied Clinical Medical Physics. 24(9). e14113–e14113. 5 indexed citations
11.
Wei, Yi, Meiyi Yang, Lifeng Xu, et al.. (2023). Novel Computed-Tomography-Based Transformer Models for the Noninvasive Prediction of PD-1 in Pre-Operative Settings. Cancers. 15(3). 658–658. 6 indexed citations
12.
Wei, Yi, Lifeng Xu, Qian Li, et al.. (2023). Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma. Frontiers in Oncology. 13. 1103521–1103521. 10 indexed citations
13.
14.
Chen, Siying, Minghui Liu, Deng Pan, et al.. (2022). Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images. IEEE Journal of Biomedical and Health Informatics. 26(11). 5344–5354. 15 indexed citations
15.
Liu, Minghui, et al.. (2022). FocusedDropout for Convolutional Neural Network. Applied Sciences. 12(15). 7682–7682. 7 indexed citations
16.
Yang, Meiyi, Lifeng Xu, Minghui Liu, et al.. (2022). CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma. Frontiers in Oncology. 12. 961779–961779. 8 indexed citations
17.
Liu, Minghui & Yun Li. (2018). Application of Electronic Nose Technology in Coal Mine Risk Prediction. SHILAP Revista de lepidopterología. 6 indexed citations
18.
Zhang, Xiaoyun, et al.. (2018). Atmospheric Corrosion of 7B04 Aluminum Alloy in Marine Environments. Corrosion Science and Technology. 17(1). 6–11. 3 indexed citations
19.
Liu, Minghui, et al.. (2009). Expert system based on WebGIS for forecast and prediction of agricultural pests.. Transactions of the Chinese Society of Agricultural Machinery. 40(7). 180–186. 1 indexed citations
20.
Liu, Minghui. (1992). Digital Learning Control of Servo Systems Using Neural Networks. 41. 28–29. 1 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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