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Table 4 Top 10 co-cited references on research of artificial intelligence in radiotherapy

From: A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023

Rank

Cited reference

Citations

Total link strength

1

Ronneberger o, 2015, lect notes comput sc, v9351, p234, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1007/978-3-319-24574-4_28[12]

52

439

2

Vandewinckele l, 2020, radiother oncol, v153, p55, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.radonc.2020.09.008[8]

41

339

3

Lustberg t, 2018, radiother oncol, v126, p312, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.radonc.2017.11.012[13]

37

382

4

Ibragimov b, 2017, med phys, v44, p547, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1002/mp.12045[14]

36

465

5

Cardenas ce, 2019, semin radiat oncol, v29, p185, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.semradonc.2019.02.001[15]

34

392

6

Fan jw, 2019, med phys, v46, p370, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1002/mp.13271[16]

34

399

7

Sahiner b, 2019, med phys, v46, pe1, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1002/mp.13264[17]

32

373

8

Gillies rj, 2016, radiology, v278, p563, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1148/radiol.2015151169[18]

30

150

9

Lambin p, 2017, nat rev clin oncol, v14, p749, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1038/nrclinonc.2017.141[19]

29

151

10

Nguyen d, 2019, phys med biol, v64, doi https://doiorg.publicaciones.saludcastillayleon.es/10.1088/1361-6560/ab039b[20]

29

332