Chinese General Practice ›› 2024, Vol. 27 ›› Issue (04): 493-501.DOI: 10.12114/j.issn.1007-9572.2022.0902
• Original Research • Previous Articles Next Articles
Received:
2022-12-29
Revised:
2023-07-04
Published:
2024-02-05
Online:
2023-11-09
Contact:
HUANG Xiaojun
通讯作者:
黄晓俊
作者简介:
基金资助:
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.0902
排名 | 国家(地区) | 发文量(篇) | 占比(%) | 总被引用次数(次) | 平均被引用次数(次) | TLS |
---|---|---|---|---|---|---|
1 | 中国 | 366 | 50.063 | 4 371 | 11.94 | 1 272 |
2 | 美国 | 93 | 13.229 | 2 704 | 29.08 | 724 |
3 | 韩国 | 86 | 12.233 | 890 | 10.35 | 438 |
4 | 日本 | 79 | 11.238 | 2 232 | 28.25 | 905 |
5 | 德国 | 47 | 6.686 | 1 189 | 25.30 | 527 |
6 | 英国 | 29 | 4.125 | 839 | 28.93 | 322 |
7 | 印度 | 24 | 3.413 | 226 | 9.42 | 76 |
8 | 荷兰 | 17 | 2.418 | 869 | 51.12 | 259 |
9 | 意大利 | 17 | 2.418 | 252 | 14.82 | 227 |
10 | 巴基斯坦 | 17 | 2.418 | 165 | 9.71 | 124 |
Table 1 Top 10 countries(regions)in term of publication volume
排名 | 国家(地区) | 发文量(篇) | 占比(%) | 总被引用次数(次) | 平均被引用次数(次) | TLS |
---|---|---|---|---|---|---|
1 | 中国 | 366 | 50.063 | 4 371 | 11.94 | 1 272 |
2 | 美国 | 93 | 13.229 | 2 704 | 29.08 | 724 |
3 | 韩国 | 86 | 12.233 | 890 | 10.35 | 438 |
4 | 日本 | 79 | 11.238 | 2 232 | 28.25 | 905 |
5 | 德国 | 47 | 6.686 | 1 189 | 25.30 | 527 |
6 | 英国 | 29 | 4.125 | 839 | 28.93 | 322 |
7 | 印度 | 24 | 3.413 | 226 | 9.42 | 76 |
8 | 荷兰 | 17 | 2.418 | 869 | 51.12 | 259 |
9 | 意大利 | 17 | 2.418 | 252 | 14.82 | 227 |
10 | 巴基斯坦 | 17 | 2.418 | 165 | 9.71 | 124 |
排名 | 机构 | 国家(地区) | 发文量(篇) | TLS | 总被引用次数(次) |
---|---|---|---|---|---|
1 | 中国科学院 | 中国 | 32 | 392 | 492 |
2 | 中山大学 | 中国 | 25 | 283 | 532 |
3 | 上海交通大学 | 中国 | 25 | 122 | 434 |
4 | 中国科学技术大学 | 中国 | 24 | 337 | 369 |
5 | 武汉大学 | 中国 | 21 | 271 | 246 |
6 | 延世大学 | 韩国 | 20 | 106 | 205 |
7 | 南方医科大学 | 中国 | 19 | 176 | 293 |
8 | 南京医科大学 | 中国 | 19 | 96 | 117 |
9 | 成均馆大学 | 韩国 | 19 | 41 | 124 |
10 | 东京大学 | 日本 | 18 | 360 | 662 |
Table 2 Top 10 institutions in term of publication volume
排名 | 机构 | 国家(地区) | 发文量(篇) | TLS | 总被引用次数(次) |
---|---|---|---|---|---|
1 | 中国科学院 | 中国 | 32 | 392 | 492 |
2 | 中山大学 | 中国 | 25 | 283 | 532 |
3 | 上海交通大学 | 中国 | 25 | 122 | 434 |
4 | 中国科学技术大学 | 中国 | 24 | 337 | 369 |
5 | 武汉大学 | 中国 | 21 | 271 | 246 |
6 | 延世大学 | 韩国 | 20 | 106 | 205 |
7 | 南方医科大学 | 中国 | 19 | 176 | 293 |
8 | 南京医科大学 | 中国 | 19 | 96 | 117 |
9 | 成均馆大学 | 韩国 | 19 | 41 | 124 |
10 | 东京大学 | 日本 | 18 | 360 | 662 |
排名 | 期刊 | 国家(地区) | 发文量(篇) | 影响因子(2022年) | Journal Citation Reports(JCR)分区(2022年) | 被引用次数(次) |
---|---|---|---|---|---|---|
1 | Frontiers in Oncology | 瑞士 | 32 | 5.738 | Q2 | 123 |
2 | Scientific Reports | 英国 | 21 | 4.996 | Q2 | 265 |
3 | Cancers | 瑞士 | 17 | 6.575 | Q1 | 28 |
4 | Gastrointestinal Endoscopy | 美国 | 15 | 10.396 | Q1 | 413 |
5 | World Journal of Gastroenterology | 中国 | 15 | 5.374 | Q2 | 98 |
6 | Gastric Cancer | 日本 | 14 | 7.701 | Q1 | 519 |
7 | Diagnostics | 波兰 | 12 | 3.992 | Q2 | 36 |
8 | Frontiers in Genetics | 瑞士 | 11 | 4.772 | Q1 | 37 |
9 | Computational and Mathematical Methods in Medicine | 英国 | 10 | 2.809 | Q2 | 49 |
10 | Digestive Endoscopy | 澳大利亚 | 9 | 6.337 | Q1 | 166 |
Table 3 Publications and evaluation metrics in 2022 of top 10 journals in term of publication volume
排名 | 期刊 | 国家(地区) | 发文量(篇) | 影响因子(2022年) | Journal Citation Reports(JCR)分区(2022年) | 被引用次数(次) |
---|---|---|---|---|---|---|
1 | Frontiers in Oncology | 瑞士 | 32 | 5.738 | Q2 | 123 |
2 | Scientific Reports | 英国 | 21 | 4.996 | Q2 | 265 |
3 | Cancers | 瑞士 | 17 | 6.575 | Q1 | 28 |
4 | Gastrointestinal Endoscopy | 美国 | 15 | 10.396 | Q1 | 413 |
5 | World Journal of Gastroenterology | 中国 | 15 | 5.374 | Q2 | 98 |
6 | Gastric Cancer | 日本 | 14 | 7.701 | Q1 | 519 |
7 | Diagnostics | 波兰 | 12 | 3.992 | Q2 | 36 |
8 | Frontiers in Genetics | 瑞士 | 11 | 4.772 | Q1 | 37 |
9 | Computational and Mathematical Methods in Medicine | 英国 | 10 | 2.809 | Q2 | 49 |
10 | Digestive Endoscopy | 澳大利亚 | 9 | 6.337 | Q1 | 166 |
排名 | 期刊 | 国家(地区) | 共被引次数(次) | 影响因子(2022年) | JCR分区(2022年) |
---|---|---|---|---|---|
1 | Gastrointestinal Endoscopy | 美国 | 1 004 | 10.396 | Q1 |
2 | Gastric Cancer | 日本 | 702 | 7.701 | Q1 |
3 | Endoscopy | 德国 | 631 | 9.776 | Q1 |
4 | Gut | 英国 | 501 | 31.793 | Q1 |
5 | Scientific Reports | 英国 | 487 | 4.996 | Q2 |
6 | Gastroenterology | 美国 | 454 | 33.883 | Q1 |
7 | PLoS One | 美国 | 401 | 3.752 | Q2 |
8 | Nature | 英国 | 387 | 69.504 | Q1 |
9 | CA:A Cancer Journal for Clinicians | 美国 | 383 | 286.130 | Q1 |
10 | World Journal of Gastroenterology | 中国 | 382 | 5.374 | Q2 |
Table 4 Co-citations and evaluation metrics in 2022 of top 10 journals in term of co-citations
排名 | 期刊 | 国家(地区) | 共被引次数(次) | 影响因子(2022年) | JCR分区(2022年) |
---|---|---|---|---|---|
1 | Gastrointestinal Endoscopy | 美国 | 1 004 | 10.396 | Q1 |
2 | Gastric Cancer | 日本 | 702 | 7.701 | Q1 |
3 | Endoscopy | 德国 | 631 | 9.776 | Q1 |
4 | Gut | 英国 | 501 | 31.793 | Q1 |
5 | Scientific Reports | 英国 | 487 | 4.996 | Q2 |
6 | Gastroenterology | 美国 | 454 | 33.883 | Q1 |
7 | PLoS One | 美国 | 401 | 3.752 | Q2 |
8 | Nature | 英国 | 387 | 69.504 | Q1 |
9 | CA:A Cancer Journal for Clinicians | 美国 | 383 | 286.130 | Q1 |
10 | World Journal of Gastroenterology | 中国 | 382 | 5.374 | Q2 |
排名 | 作者 | 国家(地区) | 发文量(篇) | 共被引作者 | 国家(地区) | 共被引次数(次) |
---|---|---|---|---|---|---|
1 | TADA TOMOHIRO | 日本 | 16 | BRAY FREDDIE | 美国 | 186 |
2 | TIAN JIE | 中国 | 11 | HIRASAWA TOSHIAKI | 日本 | 122 |
3 | YU HONGGANG | 中国 | 10 | JIANG YUMING | 中国 | 111 |
4 | LI GUOXI | 中国 | 10 | WU LIANLIAN | 中国 | 106 |
5 | DONG DI | 中国 | 10 | HORIUCHI YUSUKE | 日本 | 81 |
6 | HIRASAWA TOSHIAKI | 日本 | 9 | ZHU YAN | 中国 | 81 |
7 | YU JIANG | 中国 | 9 | SHICHIJO SATOKI | 日本 | 79 |
8 | WU LIANLIAN | 中国 | 8 | MORI YUICHI | 日本 | 74 |
9 | LI CHEN | 中国 | 8 | SZEGEDY CHRISTIAN | 美国 | 71 |
10 | FUJISAKI JUNKO | 日本 | 7 | Japanese Gastric Cancer Association | 日本 | 70 |
Table 5 Publication of top 10 authors in terms of pulication volume and total number of citations
排名 | 作者 | 国家(地区) | 发文量(篇) | 共被引作者 | 国家(地区) | 共被引次数(次) |
---|---|---|---|---|---|---|
1 | TADA TOMOHIRO | 日本 | 16 | BRAY FREDDIE | 美国 | 186 |
2 | TIAN JIE | 中国 | 11 | HIRASAWA TOSHIAKI | 日本 | 122 |
3 | YU HONGGANG | 中国 | 10 | JIANG YUMING | 中国 | 111 |
4 | LI GUOXI | 中国 | 10 | WU LIANLIAN | 中国 | 106 |
5 | DONG DI | 中国 | 10 | HORIUCHI YUSUKE | 日本 | 81 |
6 | HIRASAWA TOSHIAKI | 日本 | 9 | ZHU YAN | 中国 | 81 |
7 | YU JIANG | 中国 | 9 | SHICHIJO SATOKI | 日本 | 79 |
8 | WU LIANLIAN | 中国 | 8 | MORI YUICHI | 日本 | 74 |
9 | LI CHEN | 中国 | 8 | SZEGEDY CHRISTIAN | 美国 | 71 |
10 | FUJISAKI JUNKO | 日本 | 7 | Japanese Gastric Cancer Association | 日本 | 70 |
排名 | 文献 | 期刊 | 第一作者 | 发表年份(年) | 共被引次数(次) |
---|---|---|---|---|---|
1 | Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries | CA:A Cancer Journal for Clinicians | BRAY FREDDIE | 2020 | 183 |
2 | Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images | Gastric Cancer | HIRASAWA TOSHIAKI | 2018 | 113 |
3 | Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy | Gastrointestinal Endoscopy | ZHU YAN | 2019 | 78 |
4 | Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging | Gastric Cancer | LI LAN | 2019 | 54 |
5 | A deep neural network improves endoscopic detection of early gastric cancer without blind spots | Endoscopy | WU LIANLIAN | 2019 | 52 |
6 | Dermatologist-level classification of skin cancer with deep neural networks | Nature | ESTEVA ANDRE | 2017 | 51 |
7 | Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks | Gastrointestinal Endoscopy | HORIE YOSHIMASA | 2018 | 48 |
8 | Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band images | Gastrointestinal Endoscopy | KANESAKA TAKASHI | 2017 | 46 |
9 | Application of convolutional neural networks in the diagnosis of helicobacter pylori infection based on endoscopic images | EBioMedicine | SHICHIJO SATOKI | 2017 | 43 |
10 | Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy:a multicentre,case-control,diagnostic study | The Lancet Oncology | LUO HUIYAN | 2019 | 42 |
Table 6 Detailed information on the top 10 references in term of co-citations
排名 | 文献 | 期刊 | 第一作者 | 发表年份(年) | 共被引次数(次) |
---|---|---|---|---|---|
1 | Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries | CA:A Cancer Journal for Clinicians | BRAY FREDDIE | 2020 | 183 |
2 | Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images | Gastric Cancer | HIRASAWA TOSHIAKI | 2018 | 113 |
3 | Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy | Gastrointestinal Endoscopy | ZHU YAN | 2019 | 78 |
4 | Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging | Gastric Cancer | LI LAN | 2019 | 54 |
5 | A deep neural network improves endoscopic detection of early gastric cancer without blind spots | Endoscopy | WU LIANLIAN | 2019 | 52 |
6 | Dermatologist-level classification of skin cancer with deep neural networks | Nature | ESTEVA ANDRE | 2017 | 51 |
7 | Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks | Gastrointestinal Endoscopy | HORIE YOSHIMASA | 2018 | 48 |
8 | Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band images | Gastrointestinal Endoscopy | KANESAKA TAKASHI | 2017 | 46 |
9 | Application of convolutional neural networks in the diagnosis of helicobacter pylori infection based on endoscopic images | EBioMedicine | SHICHIJO SATOKI | 2017 | 43 |
10 | Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy:a multicentre,case-control,diagnostic study | The Lancet Oncology | LUO HUIYAN | 2019 | 42 |
排名 | 关键词 | 出现频次(次) | TLS |
---|---|---|---|
1 | gastric cancer | 218 | 844 |
2 | deep learning | 127 | 575 |
3 | artificial intelligence | 113 | 619 |
4 | classification | 111 | 488 |
5 | cancer | 108 | 364 |
6 | diagnosis | 104 | 476 |
7 | machine learning | 98 | 456 |
8 | endoscopy | 88 | 369 |
9 | expression | 68 | 366 |
10 | survival | 58 | 201 |
Table 7 Basic information about the top 10 keywords in term of frequency
排名 | 关键词 | 出现频次(次) | TLS |
---|---|---|---|
1 | gastric cancer | 218 | 844 |
2 | deep learning | 127 | 575 |
3 | artificial intelligence | 113 | 619 |
4 | classification | 111 | 488 |
5 | cancer | 108 | 364 |
6 | diagnosis | 104 | 476 |
7 | machine learning | 98 | 456 |
8 | endoscopy | 88 | 369 |
9 | expression | 68 | 366 |
10 | survival | 58 | 201 |
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