Jinlu Ma

2.1k total citations · 1 hit paper
5 papers, 707 citations indexed

About

Jinlu Ma is a scholar working on Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinlu Ma has authored 5 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Biomedical Engineering and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Jinlu Ma's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Nanoplatforms for cancer theranostics (1 paper) and 3D Printing in Biomedical Research (1 paper). Jinlu Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Nanoplatforms for cancer theranostics (1 paper) and 3D Printing in Biomedical Research (1 paper). Jinlu Ma collaborates with scholars based in China. Jinlu Ma's co-authors include Shuai Wang, Xiangfei Meng, Mengjiao Cai, Jingyi Yang, Mingming Xiao, Jia Guo, Yaodong Li, Xianjun Zeng, Bo Xu and Bo-Kyeong Kang and has published in prestigious journals such as European Radiology, Advanced Healthcare Materials and Small Methods.

In The Last Decade

Jinlu Ma

3 papers receiving 681 citations

Hit Papers

A deep learning algorithm using CT images to screen for C... 2021 2026 2022 2024 2021 200 400 600

Peers

Jinlu Ma
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 651
  • Artificial Intelligence 418
  • Health Informatics 139
  • Computer Vision and Pattern Recognition 87
  • Pulmonary and Respiratory Medicine 70
Replace Huan Yuan with:
Huan Yuan China
Vaishnavi Singh India
Ziwang Huang China
Neha Gianchandani Canada
He Sui China
Zhanwei Xu China
Xiaoming Qiu China
Abolfazl Zargari Khuzani United States
Zimeng Tan China
Vruddhi Shah India
Huan Yuan China View profile →
Citations per field, relative to Jinlu Ma
Jinlu Ma · 1×
Citations per year, relative to Jinlu Ma
Jinlu Ma · 1×

Countries citing papers authored by Jinlu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jinlu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlu Ma

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 0
2 7
3 1
4 0
5
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) breakdown →
699

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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