Global trends in artificial intelligence applications in liver disease over seventeen years

Table 1 The top 10 productive countries related to artificial intelligence for liver disease

Country	Counts	Ranking on the basis of total documents	Total citations	Ranking on the basis of total citations	Average citation	Ranking on the basis of total link strength	Link strength
China	1568	1	21137	2	13.48	2	678
United States	1062	2	25084	1	23.62	1	1034
Italy	318	3	6629	3	20.85	3	605
Germany	277	4	6377	4	23.02	5	539
Japan	258	5	5716	5	22.16	7	374
United Kingdom	234	6	5312	6	22.70	4	559
South Korea	211	7	3935	8	18.65	9	339
France	175	8	4423	7	25.27	6	503
India	165	9	3245	9	19.67	18	167
Canada	118	10	3066	11	25.98	11	261

Table 2 The top ten institutions by volume of the application of artificial intelligence to liver disease

Rank	Country	Counts	Institution	Citation	Mean citation
1	China	104	Chinese Academy of Sciences	2088	20.08
2	China	96	Fudan University	1465	15.26
3	China	93	Zhejiang University	1366	14.69
4	China	92	Sun Yat-Sen University	1833	19.92
5	China	64	Shanghai Jiao Tong University	732	11.44
6	China	63	Sichuan University	606	9.62
7	United States	56	University of Pittsburgh	1815	32.41
8	China	53	Capital Medical University	735	13.87
9	China	52	Stanford University	1308	25.15
10	China	47	Chinese People’s Liberation Army General Hospital	858	18.26

Table 3 The top ten most productive authors on artificial intelligence in liver disease

Rank	Author	Counts	Total citations	Mean citations
1	Sucandy Iswanto	32	501	15.66
2	Ross Sharona	25	176	7.04
3	Rosemurgy Alexander	23	442	19.22
4	Wang Wei	19	23	1.21
5	Tian Jie	17	508	29.88
6	Goh Brian K. P.	17	177	10.41
7	Liu Rong	17	225	13.24
8	Pawlik Timothy M.	17	218	12.82
9	Song Bin	16	131	8.19
10	Di Benedetto Fabrizio	15	546	36.40

Table 4 The top 10 journals related to artificial intelligence in the field of liver disease

Rank	Journal title	Countries	Count	Impact factor (2023)	JCR (2023)	Total citations
1	Frontiers in Oncology	Switzerland	89	4.7	Q2	655
2	Scientific Reports	England	82	4.6	Q2	1000
3	Asian Journal of Surgery	China	77	3.5	Q1	553
4	European Radiology	Germany	73	5.9	Q1	1672
5	Surgical Endoscopy and Other Interventional Techniques	United States	73	3.1	Q1	1763
6	Cancers	Switzerland	69	5.2	Q2	317
7	Plos One	United States	67	3.7	Q2	1321
8	World Journal of Gastroenterology	China	55	4.3	Q2	950
9	Diagnostics	Poland	51	-	-	159
10	Medical Physics	United States	42	3.8	Q2	717

IF: Impact factor; JCR: Journal Citation Reports.

Table 5 The top ten most cited articles related to artificial intelligence in the field of liver disease

Title	Journals	First author	Year	Citations
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries	CA Cancer J Clin	Freddie Bray	2018	148
Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study	Radiology	Koichiro Yasaka	2018	128
EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma	J Hepatol	European Association for the Study of the Liver	2018	117
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries	CA Cancer J Clin	Hyuna Sung	2021	112
Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases	Hepatology	Jorge A Marrero	2018	109
AASLD guidelines for the treatment of hepatocellular carcinoma	Hepatology	Julie K Heimbach	2018	91
Radiomics: Images Are More than Pictures, They Are Data	Radiology	Robert J Gillies	2016	89
Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma	J Hepatol	Xun Xu	2019	88
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: A prospective multicenter study	Gut	Kun Wang	2019	85
A survey on deep learning in medical image analysis	Med Image Anal	Geert Litjens	2017	78

Table 6 The top 30 keywords with the highest frequency of application of artificial intelligence to liver disease

Rank	Keywords	Count	Rank	Keywords	Count	Rank	Keywords	Count
1	Hepatocellular carcinoma	1023	11	Survival	206	21	CT	145
2	Machine learning	551	12	Model	202	22	System	144
3	Deep learning	393	13	Resection	200	23	Neural network	139
4	Cancer	377	14	Outcome	195	24	Experience	133
5	Diagnosis	310	15	Disease	190	25	Robotic surgery	132
6	Classification	294	16	Expression	190	26	Liver resection	124
7	Artificial intelligence	291	17	Liver	175	27	Identification	122
8	Surgery	235	18	Management	169	28	Computed tomography	120
9	Prediction	219	19	Convolutional neural network	167	29	Fatty liver disease	120
10	Risk	210	20	Cirrhosis	163	30	Cell	116