Datong Wei

23 total papers · 653 total citations
19 papers, 491 citations indexed

About

Datong Wei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Datong Wei has authored 19 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Datong Wei's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Datong Wei is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Datong Wei collaborates with scholars based in United States, China and Philippines. Datong Wei's co-authors include Nicholas Petrick, Berkman Sahiner, Heang‐Ping Chan, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt, Stephen C. Jones, Xiaoru Yuan, Gerald M. Saidel and Can Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Datong Wei

18 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Datong Wei	340	251	209	51	43	19	491
Yanpeng Wu	278 0.8×	157 0.6×	149 0.7×	64 1.3×	42 1.0×	19	463
Ruiwei Feng	148 0.4×	118 0.5×	154 0.7×	44 0.9×	46 1.1×	14	445
Mutawarra Hussain	252 0.7×	259 1.0×	183 0.9×	57 1.1×	76 1.8×	22	518
Hamid Zouaki	352 1.0×	108 0.4×	267 1.3×	36 0.7×	24 0.6×	18	488
Saima Rathore	244 0.7×	209 0.8×	267 1.3×	51 1.0×	86 2.0×	27	550
Hiba Chougrad	352 1.0×	99 0.4×	266 1.3×	36 0.7×	24 0.6×	13	482
Rahimeh Rouhi	277 0.8×	188 0.7×	194 0.9×	34 0.7×	11 0.3×	15	452
J. Dheeba	314 0.9×	184 0.7×	229 1.1×	70 1.4×	15 0.3×	25	493
Enas M. F. El Houby	346 1.0×	110 0.4×	269 1.3×	33 0.6×	17 0.4×	17	505
Fei Gao	272 0.8×	151 0.6×	185 0.9×	23 0.5×	12 0.3×	26	524

Countries citing papers authored by Datong Wei

Since Specialization

Citations

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

Fields of papers citing papers by Datong Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Datong Wei

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