Guangzhi Ma

1.8k total citations
79 papers, 1.2k citations indexed

About

Guangzhi Ma is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Guangzhi Ma has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Pulmonary and Respiratory Medicine and 17 papers in Oncology. Recurrent topics in Guangzhi Ma's work include Medical Image Segmentation Techniques (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Guangzhi Ma is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Guangzhi Ma collaborates with scholars based in China, United States and Egypt. Guangzhi Ma's co-authors include Enmin Song, Renchao Jin, Xiangyang Xu, Chih‐Cheng Hung, Haichao Cao, Yunfu Deng, Hong Liu, Qiang Wu, M. Emre Celebi and Irene Fondón and has published in prestigious journals such as Oncogene, Scientific Reports and The American Journal of Sports Medicine.

In The Last Decade

Guangzhi Ma

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangzhi Ma China 20 426 417 289 255 254 79 1.2k
Bohyoung Kim South Korea 22 692 1.6× 314 0.8× 261 0.9× 481 1.9× 315 1.2× 90 1.5k
Belal Ahmad Canada 18 251 0.6× 415 1.0× 220 0.8× 151 0.6× 210 0.8× 46 1.1k
Jie Tian China 16 765 1.8× 371 0.9× 143 0.5× 181 0.7× 324 1.3× 39 1.2k
Shifeng Chen China 18 227 0.5× 262 0.6× 153 0.5× 117 0.5× 118 0.5× 73 1.1k
Hélder P. Oliveira Portugal 20 304 0.7× 207 0.5× 64 0.2× 173 0.7× 251 1.0× 94 916
Georgios Z. Papadakis United States 20 582 1.4× 347 0.8× 312 1.1× 126 0.5× 252 1.0× 83 1.6k
Jingjing Gao China 21 244 0.6× 244 0.6× 348 1.2× 167 0.7× 241 0.9× 99 1.8k
Tao Chen China 22 226 0.5× 727 1.7× 163 0.6× 194 0.8× 145 0.6× 113 1.6k
Shijun Wang United States 19 790 1.9× 451 1.1× 149 0.5× 412 1.6× 499 2.0× 65 1.8k

Countries citing papers authored by Guangzhi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhi Ma. A scholar is included among the top collaborators of Guangzhi Ma 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 Guangzhi Ma. Guangzhi Ma 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.
Xu, Jian, et al.. (2024). Multi-strategy-based artificial bee colony algorithm for AUV path planning with angle constraints. Ocean Engineering. 312. 119155–119155. 9 indexed citations
2.
Song, Enmin, Guangzhi Ma, Hong Liu, et al.. (2023). Prostate lesion segmentation based on a 3D end-to-end convolution neural network with deep multi-scale attention. Magnetic Resonance Imaging. 99. 98–109. 13 indexed citations
3.
Lu, Jiayi, et al.. (2023). A bidirectional registration neural network for cardiac motion tracking using cine MRI images. Computers in Biology and Medicine. 160. 107001–107001. 7 indexed citations
4.
Song, Enmin, et al.. (2022). CFNet: A medical image segmentation method using the multi-view attention mechanism and adaptive fusion strategy. Biomedical Signal Processing and Control. 79. 104112–104112. 25 indexed citations
5.
Hagag, Ahmed, et al.. (2021). A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs. Machine Vision and Applications. 32(1). 21 indexed citations
6.
Hagag, Ahmed, et al.. (2021). Dual link distributed source coding scheme for the transmission of satellite hyperspectral imagery. Journal of Visual Communication and Image Representation. 78. 103117–103117. 2 indexed citations
7.
Chen, Wenjie, Wen Li, Zhenkun Liu, et al.. (2021). Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma. Scientific Reports. 11(1). 11056–11056. 6 indexed citations
8.
Hagag, Ahmed, et al.. (2020). A Hybrid Model Combining Learning Distance Metric and DAG Support Vector Machine for Multimodal Biometric Recognition. IEEE Access. 9. 4784–4796. 24 indexed citations
9.
Liu, Hong, et al.. (2020). Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification. Journal of Digital Imaging. 33(5). 1242–1256. 55 indexed citations
10.
Ai, Cheng, Guangzhi Ma, Yunfu Deng, et al.. (2020). Nm23‐H1 inhibits lung cancer bone‐specific metastasis by upregulating miR‐660‐5p targeted SMARCA5. Thoracic Cancer. 11(3). 640–650. 26 indexed citations
11.
Liu, Hong, Haichao Cao, Enmin Song, et al.. (2019). A cascaded dual-pathway residual network for lung nodule segmentation in CT images. Physica Medica. 63. 112–121. 70 indexed citations
12.
Cao, Haichao, Hong Liu, Chih‐Cheng Hung, et al.. (2019). Dual-branch residual network for lung nodule segmentation. Applied Soft Computing. 86. 105934–105934. 99 indexed citations
13.
Ma, Guangzhi, Yunfu Deng, Wenjie Chen, et al.. (2019). The Prognostic Role of MET Protein Expression Among Surgically Resected Non-small Cell Lung Cancer Patients: A Meta-Analysis. Frontiers in Oncology. 9. 9 indexed citations
14.
Zhang, Jing, Yanlin Song, Guangzhi Ma, et al.. (2017). Facial flushing after alcohol consumption and the risk of cancer. Medicine. 96(13). e6506–e6506. 11 indexed citations
15.
Ma, Guangzhi, et al.. (2017). Tunable discounting and visual exploration for language models. Neurocomputing. 269. 73–81. 1 indexed citations
16.
Kadhim, Dheyaa Jasim, et al.. (2016). Heterogeneous Network Performance Improvement Using Proposed OLRED and OLWRED Strategies. International Journal of Future Computer and Communication. 5(5). 199–204. 4 indexed citations
17.
Ma, Guangzhi, et al.. (2011). Multiple costs based decision making with back-propagation neural networks. Decision Support Systems. 52(3). 657–663. 15 indexed citations
18.
Ma, Guangzhi. (2006). Method for Importing Web Content Mining into Patterns Clustering. Jisuanji gongcheng. 1 indexed citations
19.
Ma, Guangzhi. (2005). Music style identification system based on mining technology. Jisuanji gongcheng yu sheji. 2 indexed citations
20.
Ma, Guangzhi, Haoran Lin, & Weimin Zhang. (1995). Effects of cadmium on serum gonadotropin and growth hormone in common carp (Cyprinus carpio L.). 19(2). 120–126. 3 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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