Jianrui Ding

64 total papers · 1.2k total citations
39 papers, 723 citations indexed

About

Jianrui Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jianrui Ding has authored 39 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jianrui Ding's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Image Segmentation Techniques (7 papers). Jianrui Ding is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Image Segmentation Techniques (7 papers). Jianrui Ding collaborates with scholars based in China, United States and Ireland. Jianrui Ding's co-authors include Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Fei Xu, He Cheng, Chunping Ning, Jianhua Huang, Lingtao Wang and Jiafeng Liu and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Transactions on Image Processing and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jianrui Ding

36 papers receiving 710 citations

Author Peers

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

Author						Papers	Cites
Jianrui Ding	441	365	290	98	94	39	723
Jianning Chi	287 0.7×	362 1.0×	270 0.9×	69 0.7×	82 0.9×	63	737
Nikos Dimitropoulos	550 1.2×	359 1.0×	269 0.9×	33 0.3×	57 0.6×	43	879
Mohammad Faizal Ahmad Fauzi	202 0.5×	173 0.5×	334 1.2×	64 0.7×	63 0.7×	111	662
George Nikiforidis	411 0.9×	215 0.6×	207 0.7×	169 1.7×	44 0.5×	41	789
Dexing Kong	208 0.5×	376 1.0×	130 0.4×	52 0.5×	80 0.9×	54	652
Michalis A. Savelonas	278 0.6×	240 0.7×	334 1.2×	34 0.3×	42 0.4×	59	692
Yan Chai Hum	169 0.4×	240 0.7×	200 0.7×	58 0.6×	122 1.3×	89	741
Dev Kumar Das	312 0.7×	190 0.5×	518 1.8×	26 0.3×	51 0.5×	30	906
Dimitris Glotsos	424 1.0×	321 0.9×	218 0.8×	114 1.2×	85 0.9×	71	862
Ganbayar Batchuluun	202 0.5×	190 0.5×	360 1.2×	17 0.2×	104 1.1×	33	765

Countries citing papers authored by Jianrui Ding

Since Specialization

Citations

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

Fields of papers citing papers by Jianrui Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianrui Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jianrui Ding. A scholar is included among the top collaborators of Jianrui Ding 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 Jianrui Ding. Jianrui Ding 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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