He Ma

842 total citations
14 papers, 634 citations indexed

About

He Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, He Ma has authored 14 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in He Ma's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and COVID-19 diagnosis using AI (5 papers). He Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and COVID-19 diagnosis using AI (5 papers). He Ma collaborates with scholars based in China, United States and Netherlands. He Ma's co-authors include Hongyang Jiang, Mengdi Gao, Wei Qian, Wei Qian, Shouliang Qi, Yudong Yao, Weiming Gao, Patrice Monkam, Li Liu and Chuanfu Li and has published in prestigious journals such as The FASEB Journal, The Journal of Infectious Diseases and Anesthesiology.

In The Last Decade

He Ma

13 papers receiving 612 citations

Peers

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

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14 of 14 papers shown

#	Work	Indexed citations
1	Xuefu Zhuyu Decoction improves hyperlipidemia through the MAPK / NF ‐ κB and MAPK / PPARα / CPT ‐ 1A signaling pathway 2025 ·The FASEB Journal ·Jiajun Han, (unknown), Lun Song, (unknown), (unknown), Lin Wang, (unknown), He Ma, (unknown), (unknown), Dong Cheol Han	2
2	Tiaogan Jiejiu Tongluo formula alleviates hepatic steatosis in NAFLD mice by regulating AMPK signaling pathway 2025 ·Journal of Pharmacy and Pharmacology ·Yuting Lei, (unknown), Lun Song, Jiajun Han, He Ma, Haoming Luo, (unknown), Dong Cheol Han	0
3	Automatic pulmonary ground‐glass opacity nodules detection and classification based on 3D neural network 2022 ·Medical Physics ·He Ma, (unknown), Mingfang Zhao, Shouliang Qi, Heming Li, (unknown), Zhi Li, (unknown), Yudong Yao, Wei Qian	8
4	Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 2020 ·JAMA Network Open ·Qingxia Wu, Shuo Wang, Shuixing Zhang, Meiyun Wang, Yingying Ding, Fang Jin, Wei Qian, Zhenyu Liu, Kai Sun, Yan Jin, He Ma, Jie Tian	67
5	Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning 2019 ·Journal of X-Ray Science and Technology ·(unknown), Shouliang Qi, Baihua Zhang, He Ma, Wei Qian, Yudong Yao, (unknown)	47
6	Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey 2019 ·IEEE Access ·Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yudong Yao, Wei Qian	86
7	Enhanced Glycolytic Metabolism Contributes to Cardiac Dysfunction in Polymicrobial Sepsis 2017 ·The Journal of Infectious Diseases ·Zhibo Zheng, He Ma, Xia Zhang, Fei Tu, Xiaohui Wang, Tuanzhu Ha, Min Fan, Li Liu, Jingjing Xu, Kaijiang Yu, Ruitao Wang, John H. Kalbfleisch, Race L. Kao, David L. Williams, Chuanfu Li	124
8	An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network 2017 ·IEEE Journal of Biomedical and Health Informatics ·Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, (unknown)	199
9	A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images 2017 ·PubMed ·Hongyang Jiang, He Ma, Wei Qian, (unknown), (unknown), Mengdi Gao	11
10	Risk prediction of small pulmonary nodules based on novel CT image texture markers 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Fangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang	1
11	Content-based retrieval for lung nodule diagnosis using learned distance metric 2017 ·(unknown), He Ma, Wei Qian, Hongyang Jiang, (unknown)	5
12	Lung Cancer Detection and Analysis Using Data Mining Techniques, Principal Component Analysis and Artificial Neural Network 2016 ·American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers) ·(unknown), He Ma, (unknown)	4
13	An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images 2016 ·Journal of Medical Systems ·Jikui Liu, Hongyang Jiang, Mengdi Gao, Chenguang He, Yu Wang, Pu Wang, He Ma, Ye Li	56
14	Impaired Autophagosome Clearance Contributes to Local Anesthetic Bupivacaine-induced Myotoxicity in Mouse Myoblasts 2015 ·Anesthesiology ·Rongrong Li, He Ma, (unknown), Chuanfu Li, Jing‐Wei Xiong, Ting Lu, (unknown), Juncheng Dai, Li Liu, Zhengnian Ding	24

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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