Wei Wang

18.2k citations
672 papers · 12.9k · 1 hit paper · h-index 56

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Wei Wang

629 papers receiving 12.7k citations

Wei Wang's Hit Papers

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study 2022 · 113 citations
1130+1+2Years since publication255075100

Peers

Wei Wang
Comparison fields: 5 of 187
  • Hepatology 1.7k
  • Cancer Research 1.4k
  • Health Informatics 102
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Cell Biology 917
Replace Tom Luedde with:
Tom Luedde Germany
Peter Boor Germany
Ping Liang China
Manuel Salto‐Tellez United Kingdom
Jürgen Weitz Germany
Ulf P. Neumann Germany
Loreto Gesualdo Italy
Agnes B. Fogo United States
Bin Zhang China
Jing Wang China
Wei Wang relative to Tom Luedde Germany Tom Luedde's profile →
Citations per field
00.5×1.5×
Tom Luedde · 1×
Citations per year

Countries citing papers authored by Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Wang Line = papers co-authored together Wei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 672 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009333
2 2005192
3 2015187
4 2011173
5 2013169
6 2014169
7 2019164
8 2018156
9 2018150
10 2019144
11 2019142
12 2018137
13 2017135
14 2003127
15 2015120
16
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study
Hit paper breakdown →
2022113
17 2011102
18 201899
19 200098
20 201397

About Wei Wang

Wei Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Hepatology and Epidemiology, having authored 672 papers that have together received 12.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (62 papers), Liver Disease Diagnosis and Treatment (44 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (35 papers), Gastric Cancer Management and Outcomes (34 papers), Pancreatic and Hepatic Oncology Research (29 papers), Radiomics and Machine Learning in Medical Imaging (29 papers), MicroRNA in disease regulation (26 papers) and Ultrasound and Hyperthermia Applications (23 papers). The work is most often cited by research in Hepatology (1.7k citations), Cancer Research (1.4k citations), Health Informatics (102 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Cell Biology (917 citations). Wei Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoyan Xie, Ming‐De Lu, Ming Kuang, Li‐Da Chen, Ming Xu, Yang Huang, Shi‐Ting Feng, Duojia Pan, Jinyu Liang and Shuling Chen. Their work appears in journals such as European Radiology, Frontiers in Oncology, Medicine, Scientific Reports and Journal of Ultrasound in Medicine.

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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