He Ma

2.1k total citations
72 papers, 1.2k citations indexed

About

He Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, He Ma has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Artificial Intelligence and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in He Ma's work include Radiomics and Machine Learning in Medical Imaging (29 papers), AI in cancer detection (25 papers) and Medical Image Segmentation Techniques (8 papers). He Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), AI in cancer detection (25 papers) and Medical Image Segmentation Techniques (8 papers). He Ma collaborates with scholars based in China, United States and Singapore. He Ma's co-authors include Wei Qian, Shouliang Qi, Hongyang Jiang, Hong Li, Dongdong Zhang, Kang Yang, Mengdi Gao, Fangfang Han, Jie Tian and Frank Kulwa and has published in prestigious journals such as IEEE Access, Cancer Letters and Physics in Medicine and Biology.

In The Last Decade

He Ma

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He Ma China	20	756	460	270	224	142	72	1.2k
Ali Mohammad Alqudah Jordan	21	415 0.5×	418 0.9×	242 0.9×	231 1.0×	129 0.9×	64	1.2k
M. Muthu Rama Krishnan India	20	443 0.6×	463 1.0×	309 1.1×	134 0.6×	71 0.5×	26	1.1k
Jixiang Guo China	17	534 0.7×	235 0.5×	258 1.0×	242 1.1×	164 1.2×	72	999
Yuchen Qiu United States	18	1.1k 1.4×	859 1.9×	331 1.2×	271 1.2×	238 1.7×	62	1.8k
John Arévalo Colombia	13	483 0.6×	705 1.5×	367 1.4×	90 0.4×	59 0.4×	30	1.0k
Kristen M. Meiburger Italy	24	582 0.8×	332 0.7×	274 1.0×	443 2.0×	339 2.4×	90	1.5k
Carson Lam United States	13	606 0.8×	275 0.6×	179 0.7×	106 0.5×	55 0.4×	25	1.1k
N. Sri Madhava Raja India	16	543 0.7×	464 1.0×	488 1.8×	167 0.7×	139 1.0×	46	1.3k
Jai Prashanth Rao Singapore	8	555 0.7×	515 1.1×	356 1.3×	96 0.4×	190 1.3×	19	1.3k
Juan Shan United States	15	786 1.0×	888 1.9×	621 2.3×	59 0.3×	182 1.3×	42	1.6k

Countries citing papers authored by He Ma

Since Specialization

Citations

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

Fields of papers citing papers by He Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Ma

This figure shows the co-authorship network connecting the top 25 collaborators of He Ma. A scholar is included among the top collaborators of He 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 He Ma. He Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ma, He, et al.. (2025). Synergistic Control Strategy for Enhanced Anti-Jackknifing Stability in Distributed-Drive Articulated Trucks. IEEE Transactions on Transportation Electrification. 11(5). 12289–12299.

Xu, Weihao, et al.. (2025). Dynamic environment path planning based on hybrid pre-training algorithm. Engineering Research Express. 7(3). 35267–35267.

Lv, Yang, et al.. (2025). Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review. Frontiers in Oncology. 15. 1516264–1516264. 1 indexed citations

Qian, Wei, et al.. (2024). Attention gate and dilation U-shaped network (GDUNet): an efficient breast ultrasound image segmentation network with multiscale information extraction. Quantitative Imaging in Medicine and Surgery. 14(2). 2034–2048. 3 indexed citations

Zhao, Nannan, et al.. (2024). Constructing the Optimal Classification Model for Benign and Malignant Breast Tumors Based on Multifeature Analysis from Multimodal Images. Journal of Imaging Informatics in Medicine. 37(4). 1386–1400. 3 indexed citations

Wang, Zixuan, et al.. (2023). A two-stage CNN method for MRI image segmentation of prostate with lesion. Biomedical Signal Processing and Control. 82. 104610–104610. 24 indexed citations

Qian, Wei, et al.. (2023). Learning active contour models based on self-attention for breast ultrasound image segmentation. Biomedical Signal Processing and Control. 89. 105816–105816. 5 indexed citations

He, Yue, et al.. (2023). ART: An Efficient Transformer with Atrous Residual Learning for Medical Images. 490. 1907–1912. 1 indexed citations

Yu, Miao, Lingmin Liao, Chunquan Zhang, et al.. (2023). An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images. Physical and Engineering Sciences in Medicine. 46(3). 995–1013. 2 indexed citations

10.

Cao, Jianmei, et al.. (2022). Predicting the Reader’s English Level From Reading Fixation Patterns Using the Siamese Convolutional Neural Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1071–1080. 3 indexed citations

11.

Li, Huanhuan, Long Gao, He Ma, et al.. (2021). Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer. Frontiers in Oncology. 11. 658887–658887. 27 indexed citations

12.

He, Jiaqi, He Ma, Hongyan Chen, et al.. (2021). Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion. Frontiers in Oncology. 11. 665891–665891. 12 indexed citations

13.

Ma, He, et al.. (2021). Breast Cancer Segmentation Methods: Current Status and Future Potentials. BioMed Research International. 2021(1). 9962109–9962109. 71 indexed citations

14.

Ma, He, et al.. (2021). Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self‐Structuring Neural Networks. Computational Intelligence and Neuroscience. 2021(1). 1277349–1277349.

15.

Ma, He, et al.. (2021). Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images. BioMedical Engineering OnLine. 20(1). 112–112. 17 indexed citations

16.

Zhang, Lizhong, He Ma, Wei Qian, & Haiyan Li. (2020). Sequence-based protein structure optimization using enhanced simulated annealing algorithm on a coarse-grained model. Journal of Molecular Modeling. 26(9). 250–250. 2 indexed citations

17.

Wu, Qingxia, Shuo Wang, Liang Li, et al.. (2020). Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19. Theranostics. 10(16). 7231–7244. 73 indexed citations

18.

Li, Min�, He Ma, Fangfang Han, et al.. (2019). Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. BMC Medical Imaging. 19(1). 63–63. 24 indexed citations

19.

Cao, Hui, et al.. (2017). Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. Journal of Medical Systems. 42(1). 13–13. 51 indexed citations

20.

Ma, He, et al.. (2016). Risk Analysis for Pathological Changes in Pulmonary Parenchyma Based on Lung Computed Tomography Images. Journal of Computer Assisted Tomography. 40(3). 357–363. 4 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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