Jiquan Ma

540 total citations
36 papers, 330 citations indexed

About

Jiquan Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jiquan Ma has authored 36 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Jiquan Ma's work include AI in cancer detection (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jiquan Ma is often cited by papers focused on AI in cancer detection (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jiquan Ma collaborates with scholars based in China, Australia and United States. Jiquan Ma's co-authors include Hui Cui, Geng Chen, Bo Dong, Shuai Wang, Deng-Ping Fan, Jiannan Liu, Chunquan Li, Xiaoyan Li, Hongzan Sun and Marcin Grzegorzek and has published in prestigious journals such as Molecules, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Jiquan Ma

35 papers receiving 319 citations

Peers

Jiquan Ma
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 141
  • Computer Vision and Pattern Recognition 117
  • Artificial Intelligence 113
  • Molecular Biology 50
  • Oncology 34
Replace Michael Gadermayr with:
Michael Gadermayr Austria
Nadia Brancati Italy
Zhuo Zhao China
Weihao Xie China
Fazly Salleh Abas Malaysia
Aiping Qu China
Maria Gabrani Switzerland
Shahira Abousamra United States
Mohammad Peikari Canada
Chaojie Ji China
Michael Gadermayr Austria View profile →
Citations per field, relative to Jiquan Ma
Jiquan Ma · 1×
Citations per year, relative to Jiquan Ma
Jiquan Ma · 1×

Countries citing papers authored by Jiquan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jiquan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiquan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jiquan Ma. A scholar is included among the top collaborators of Jiquan 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 Jiquan Ma. Jiquan 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
# Work Indexed citations
1 6
2 1
3 4
4 6
5 0
6 1
7 1
8 3
9 1
10 2
11 1
12 8
13 11
14 1
15 4
16 67
17 1
18 9
19 55
20 14

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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