Qiangguo Jin

52 total papers · 1.9k total citations
32 papers, 1.2k citations indexed

About

Qiangguo Jin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Qiangguo Jin has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Qiangguo Jin's work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Qiangguo Jin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Qiangguo Jin collaborates with scholars based in China, Australia and Japan. Qiangguo Jin's co-authors include Ran Su, Zhaopeng Meng, Leyi Wei, Changming Sun, Qi Chen, Tuan D. Pham, Hui Cui, Hui Cui, Rachid Jennane and Leilei Cao and has published in prestigious journals such as Nucleic Acids Research, Expert Systems with Applications and Physics in Medicine and Biology.

In The Last Decade

Qiangguo Jin

29 papers receiving 1.2k citations

Hit Papers

DUNet: A deformable netwo... 2019 2026 2021 2023 2019 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qiangguo Jin 692 644 352 260 142 32 1.2k
Yun Jiang 575 0.8× 467 0.7× 334 0.9× 213 0.8× 177 1.2× 64 1.3k
Muhammad Owais 473 0.7× 423 0.7× 309 0.9× 135 0.5× 100 0.7× 92 1.2k
Guilherme Aresta 676 1.0× 335 0.5× 660 1.9× 106 0.4× 92 0.6× 23 970
Yuhui Ma 673 1.0× 562 0.9× 270 0.8× 256 1.0× 99 0.7× 36 1.4k
Hossam Magdy Balaha 411 0.6× 453 0.7× 494 1.4× 76 0.3× 133 0.9× 69 1.2k
Teresa Araújo 643 0.9× 345 0.5× 659 1.9× 109 0.4× 100 0.7× 20 944
Yi Wang 654 0.9× 593 0.9× 574 1.6× 97 0.4× 98 0.7× 39 1.5k
Darvin Yi 769 1.1× 245 0.4× 358 1.0× 208 0.8× 150 1.1× 26 1.2k
Malaya Kumar Nath 526 0.8× 487 0.8× 370 1.1× 309 1.2× 51 0.4× 67 1.3k
He Ma 746 1.1× 269 0.4× 451 1.3× 104 0.4× 92 0.6× 70 1.2k

Countries citing papers authored by Qiangguo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Qiangguo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiangguo Jin

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

All Works

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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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