Xiaoning Wang

1.0k citations
46 papers · 756 · h-index 15

Impact in

Papers in

Xiaoning Wang

42 papers receiving 748 citations

Peers

Xiaoning Wang
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 289
  • Health Informatics 12
  • Pulmonary and Respiratory Medicine 246
  • Bioengineering 14
  • Infectious Diseases 29
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Wenwu Ling China
Yongyan Gao China
Sevastiţa Iordache Romania
Hong Ai China
Luca Alessandro Carbonaro Italy
Qing Xu China
Francesca Galati Italy
Zhenjiang Li China
Maria Chiara Brunese Italy
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2014122
3 201445
4 201645
5 201537
6 201534
7 201224
8 201622
9 201320
10 202419
11 202419
12 201517
13 202417
14 201416
15 201315
16 201713
17 202212
18 202411
19 200510
20 201410

About Xiaoning Wang

Xiaoning Wang is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Biomedical Engineering, having authored 46 papers that have together received 756 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (9 papers), MRI in cancer diagnosis (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Analytical Chemistry and Sensors (3 papers), Advanced Chemical Sensor Technologies (3 papers), Organic Electronics and Photovoltaics (2 papers), Transition Metal Oxide Nanomaterials (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (289 citations), Health Informatics (12 citations), Pulmonary and Respiratory Medicine (246 citations), Bioengineering (14 citations) and Infectious Diseases (29 citations). Xiaoning Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yu‐Dong Zhang, Chen‐Jiang Wu, Meiling Bao, Xi-Sheng Liu, Jing Zhang, Jing Wang, Qing Wang, Hai‐Bin Shi, Jing Zhang and Hui Liu. Their work appears in journals such as Sensors and Actuators B Chemical, Ceramics International, Journal of Magnetic Resonance Imaging, European Radiology and American Journal of Roentgenology.

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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