Jinlian Ma

706 citations
16 papers · 524 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)AI in cancer detection (6 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaMedical PhysicsApplied Soft Computing
Partner nations
China

In The Last Decade

Jinlian Ma

14 papers receiving 511 citations

Peers

Jinlian Ma
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 355
  • Artificial Intelligence 296
  • Endocrinology, Diabetes and Metabolism 181
  • Health Informatics 82
  • Computer Vision and Pattern Recognition 63
Replace Dexing Kong with:
Dexing Kong China
Shujun Liang China
Stavros Tsantis Greece
Abhilash Rakkunedeth Hareendranathan Canada
Gengyan Zhao United States
Keewon Shin South Korea
Natascha Claudia D’Amico Italy
Yih Miin Liew Malaysia
Berk Norman United States
Zelong Liu China
Jinlian Ma relative to Dexing Kong China Dexing Kong's profile →
Citations per field
00.5×1.5×1.8×
Dexing Kong · 1×
Citations per year

Countries citing papers authored by Jinlian Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jinlian Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlian Ma

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 5
6 5
7 1
8 21
9 8
10 15
11 5
12 12
13 137
14 103
15 2
16 206

About Jinlian Ma

Jinlian Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Health Information Management, having authored 16 papers that have together received 524 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (82 citations), Radiology, Nuclear Medicine and Imaging (355 citations) and Endocrinology, Diabetes and Metabolism (181 citations). Jinlian Ma has collaborated with scholars based in China. Frequent co-authors include Fa Wu, Jiang Zhu, De-Xing Kong, Tianan Jiang, Dexing Kong, Dong Xu, Qiyu Zhao, Yaguan Qian, Yingying Li and Zhaoan Su. Their work appears in journals such as SHILAP Revista de lepidopterología, Medical Physics and Applied Soft Computing.

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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