Chen‐Jiang Wu

965 citations
29 papers · 805 · h-index 14

Impact in

Papers in

Chen‐Jiang Wu

29 papers receiving 797 citations

Peers

Chen‐Jiang Wu
Comparison fields: 5 of 58
  • Radiology, Nuclear Medicine and Imaging 348
  • Pulmonary and Respiratory Medicine 356
  • Health Informatics 16
  • Hepatology 31
  • Genetics 36
Replace Cristiana Fanciullo with:
Cristiana Fanciullo Italy
Emine Şebnem Durmaz Türkiye
Lidija Antunovic Italy
Markus Kufeld Germany
Sonia Skamene Canada
Yuka Kozuma Japan
Jessica Goya-Outi France
Shuaitong Zhang China
Manon P. L. Beuque Netherlands
Chen‐Jiang Wu relative to Cristiana Fanciullo Italy Cristiana Fanciullo's profile →
Citations per field
00.5×5×10×15×20×23×
Cristiana Fanciullo · 1×
Citations per year

Countries citing papers authored by Chen‐Jiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Jiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Jiang Wu. 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 Chen‐Jiang Wu. The network helps show where Chen‐Jiang Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen‐Jiang Wu, 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 Chen‐Jiang Wu Line = papers co-authored together Chen‐Jiang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 2014124
3 201568
4 201646
5 201843
6 201539
7 202038
8 201535
9 201534
10 201923
11 201622
12 201919
13 201517
14 201815
15 201814
16 202013
17 201712
18 201610
19 20169
20 20157

About Chen‐Jiang Wu

Chen‐Jiang Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Nephrology, Hepatology and Neurology, having authored 29 papers that have together received 805 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (11 papers), MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Acute Ischemic Stroke Management (2 papers), Pediatric Urology and Nephrology Studies (1 paper), Renal and Vascular Pathologies (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Pulmonary and Respiratory Medicine (356 citations), Health Informatics (16 citations), Hepatology (31 citations) and Genetics (36 citations). Chen‐Jiang Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yu-Dong Zhang, Xiaoning Wang, Meiling Bao, Xi-Sheng Liu, Hai‐Bin Shi, Hai‐Bin Shi, Qing Wang, Jing Zhang, Jing Wang and Jing Zhang. Their work appears in journals such as Journal of Magnetic Resonance Imaging, American Journal of Roentgenology, Abdominal Radiology, European Radiology and Journal of Cellular Physiology.

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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