Runmin Liu

584 total citations
20 papers, 386 citations indexed

About

Runmin Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Runmin Liu has authored 20 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 4 papers in Atmospheric Science. Recurrent topics in Runmin Liu's work include Remote Sensing and Land Use (4 papers), Brain Tumor Detection and Classification (3 papers) and Remote-Sensing Image Classification (3 papers). Runmin Liu is often cited by papers focused on Remote Sensing and Land Use (4 papers), Brain Tumor Detection and Classification (3 papers) and Remote-Sensing Image Classification (3 papers). Runmin Liu collaborates with scholars based in China, United States and Saudi Arabia. Runmin Liu's co-authors include Weiwei Cai, Xin Ning, Guangjun Li, Yun Liu, Yizhang Jiang, Xinghao Hu, Yanfeng Wang, Zhanguo Wei, Yuan Zhuang and Yaowen Hu and has published in prestigious journals such as Advanced Materials, ACS Nano and Journal of Agricultural and Food Chemistry.

In The Last Decade

Runmin Liu

19 papers receiving 375 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Runmin Liu 106 97 52 50 38 20 386
Afef Abdelkrim 141 1.3× 130 1.3× 40 0.8× 25 0.5× 20 0.5× 49 441
Mengyang Zhao 95 0.9× 63 0.6× 41 0.8× 24 0.5× 16 0.4× 21 293
G Divya 98 0.9× 68 0.7× 24 0.5× 20 0.4× 13 0.3× 6 327
Liming Zhou 147 1.4× 101 1.0× 25 0.5× 64 1.3× 35 0.9× 85 477
Zhongwei Guo 114 1.1× 91 0.9× 53 1.0× 25 0.5× 18 0.5× 8 375
Mohammed Ahmed Talab 101 1.0× 49 0.5× 20 0.4× 26 0.5× 13 0.3× 10 260
Fang Yang 95 0.9× 51 0.5× 43 0.8× 21 0.4× 23 0.6× 68 397
Saravanan Chandran 291 2.7× 68 0.7× 36 0.7× 120 2.4× 29 0.8× 59 578
Aqsa Rasheed 299 2.8× 88 0.9× 20 0.4× 129 2.6× 41 1.1× 8 524
Khaled Bayoudh 173 1.6× 135 1.4× 23 0.4× 45 0.9× 15 0.4× 6 408

Countries citing papers authored by Runmin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Runmin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runmin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Runmin Liu. A scholar is included among the top collaborators of Runmin 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 Runmin Liu. Runmin 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.
Liu, Runmin, et al.. (2025). Verification of Resistance Mechanism of Mitochondrial Electron Transport Chain Complex III Inhibitors in Phytophthora sojae through Ectopic Overexpression. Journal of Agricultural and Food Chemistry. 73(15). 8876–8885. 1 indexed citations
2.
Liu, Runmin, et al.. (2024). Research Progress on Mechanisms and Treatment of Sepsis-Induced Myocardial Dysfunction. International Journal of General Medicine. Volume 17. 3387–3393. 2 indexed citations
3.
Hu, Xinghao, et al.. (2023). Fast and Strong Carbon Nanotube Yarn Artificial Muscles by Electro-osmotic Pump. ACS Nano. 18(1). 428–435. 9 indexed citations
4.
Hu, Xinghao, Runmin Liu, Kai Zhao, et al.. (2023). Coiled Polymer Artificial Muscles Having Dual-Mode Actuation with Large Stress Generation. Journal of Bionic Engineering. 20(4). 1626–1634. 11 indexed citations
5.
Hu, Xinghao, Mengmeng Zhang, Shaoli Fang, et al.. (2023). Recent Advances in Carbon Nanotube‐Based Energy Harvesting Technologies. Advanced Materials. 35(49). e2303035–e2303035. 38 indexed citations
6.
Liu, Runmin, et al.. (2023). Stress granule activation attenuates lipopolysaccharide-induced cardiomyocyte dysfunction. BMC Cardiovascular Disorders. 23(1). 277–277. 7 indexed citations
7.
Liu, Runmin, Guangjun Li, Ming Gao, Weiwei Cai, & Xin Ning. (2022). Large Margin and Local Structure Preservation Sparse Representation Classifier for Alzheimer’s Magnetic Resonance Imaging Classification. Frontiers in Aging Neuroscience. 14. 916020–916020. 6 indexed citations
8.
Kun, Tang, Weiwei Cai, Aibin Chen, et al.. (2022). MPC-STANet: Alzheimer’s Disease Recognition Method Based on Multiple Phantom Convolution and Spatial Transformation Attention Mechanism. Frontiers in Aging Neuroscience. 14. 918462–918462. 11 indexed citations
9.
Liu, Runmin, et al.. (2022). Demand Forecasting for Rural E-Commerce Logistics: A Gray Prediction Model Based on Weakening Buffer Operator. Mobile Information Systems. 2022. 1–8. 11 indexed citations
10.
Wang, Yanfeng, et al.. (2022). Military Chain: Construction of Domain Knowledge Graph of Kill Chain Based on Natural Language Model. Mobile Information Systems. 2022. 1–11. 1 indexed citations
11.
Wang, Yanfeng, Tao Wang, Xin Zhou, et al.. (2022). TransEffiDet: Aircraft Detection and Classification in Aerial Images Based on EfficientDet and Transformer. Computational Intelligence and Neuroscience. 2022. 1–10. 18 indexed citations
12.
Hu, Yaowen, et al.. (2022). Fruit Target Detection Based on BCo-YOLOv5 Model. Mobile Information Systems. 2022. 1–8. 32 indexed citations
13.
Zhang, Hao, Kehan Wu, Runmin Liu, et al.. (2022). miR‑141 impairs mitochondrial function in cardiomyocytes subjected to hypoxia/reoxygenation by targeting Sirt1 and MFN2. Experimental and Therapeutic Medicine. 24(6). 763–763. 2 indexed citations
14.
Wang, Yanfeng, et al.. (2022). Aircraft Image Recognition Network Based on Hybrid Attention Mechanism. Computational Intelligence and Neuroscience. 2022. 1–9. 20 indexed citations
15.
Cai, Weiwei, et al.. (2021). Remote Sensing Image Recognition Based on Multi-attention Residual Fusion Networks. 1(1). 1–8. 40 indexed citations
16.
Gao, Ming, et al.. (2021). Noise Robustness Low-Rank Learning Algorithm for Electroencephalogram Signal Classification. Frontiers in Neuroscience. 15. 797378–797378. 7 indexed citations
17.
Cai, Weiwei, et al.. (2021). MIFAD-Net: Multi-Layer Interactive Feature Fusion Network With Angular Distance Loss for Face Emotion Recognition. Frontiers in Psychology. 12. 762795–762795. 11 indexed citations
18.
Liu, Runmin, Weiwei Cai, Guangjun Li, Xin Ning, & Yizhang Jiang. (2021). Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 56 indexed citations
19.
Liu, Runmin, Xin Ning, Weiwei Cai, & Guangjun Li. (2021). Multiscale Dense Cross-Attention Mechanism with Covariance Pooling for Hyperspectral Image Scene Classification. Mobile Information Systems. 2021. 1–15. 34 indexed citations
20.
Cai, Weiwei, et al.. (2021). Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation. Displays. 70. 102106–102106. 69 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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