Xiaojia Wu

21 papers receiving 537 citations

Peers

Xiaojia Wu
Comparison fields: 5 of 69
  • Infectious Diseases 258
  • Critical Care and Intensive Care Medicine 57
  • Radiology, Nuclear Medicine and Imaging 184
  • Neurology 93
  • Health Informatics 6
Replace Dong Sun with:
Dong Sun China
Hamid Rajebi United States
Francesco Cilia Italy
Marcello Petrini Italy
Flavio Cesare Bodini Italy
Xi Jia China
Nicholas Voutsinas United States
Alessio Paschè Italy
Rebecca Preston United Kingdom
Xiaojia Wu relative to Dong Sun China Dong Sun's profile →
Citations per field
00.5×4.5×
Dong Sun · 1×
Citations per year

Countries citing papers authored by Xiaojia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020428
2 202132
3 202114
4 202313
5 20257
6 20217
7 20216
8 20256
9 20225
10 20204
11 20224
12 20224
13 20204
14 20213
15 20243
16 20253
17 20222
18 20242
19
Analysing the Clinical Features of Pneumomediastinum Associated with Diabetic Ketoacidosis in 79 Cases
20201
20 20251

About Xiaojia Wu

Xiaojia Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Automotive Engineering, Neurology and Mechanics of Materials, having authored 23 papers that have together received 550 indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Functional Brain Connectivity Studies (2 papers), Analytical Chemistry and Sensors (1 paper), Pneumothorax, Barotrauma, Emphysema (1 paper), Advanced X-ray and CT Imaging (1 paper) and Bird parasitology and diseases (1 paper). The work is most often cited by research in Infectious Diseases (258 citations), Critical Care and Intensive Care Medicine (57 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Neurology (93 citations) and Health Informatics (6 citations). Xiaojia Wu has collaborated with scholars based in China, Sweden and Austria. Frequent co-authors include Dajing Guo, Huizhe Huang, Fang Zheng, Wenbing Zeng, Jiong Wu, Linli Chen, Chuanming Li, Chuanming Li, Wei Zhang and Lin Tang. Their work appears in journals such as Journal of Animal Ecology, Investigative Radiology, International Journal for Parasitology Parasites and Wildlife, Frontiers in Neurology and Brain and Behavior.

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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