Xiaojia Wu

857 citations
22 papers · 533 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Xiaojia Wu

21 papers receiving 520 citations

Hit Papers

Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Features 2020 · 425 citations
4252020202620222024100200300400

Peers

Xiaojia Wu
Comparison fields: 5 of 75
  • Infectious Diseases 309
  • Critical Care and Intensive Care Medicine 72
  • Radiology, Nuclear Medicine and Imaging 285
  • Neurology 143
  • Health Informatics 7
Replace Cunxue Pan with:
Cunxue Pan China
Cailiang Gao China
Shuo Yan China
Bocheng Li China
Dong Sun China
Alessio Paschè Italy
Hamid Rajebi United States
Xun Ding China
Marcello Petrini Italy
Xiaojia Wu relative to Cunxue Pan China Cunxue Pan's profile →
Citations per field
00.5×1.5×2.4×
Cunxue Pan · 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-authorship network

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
#Work
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17
Analysing the Clinical Features of Pneumomediastinum Associated with Diabetic Ketoacidosis in 79 Cases
20201
18 20204
19 20204
20
Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Features
Hit paper breakdown →
2020425

About Xiaojia Wu

Xiaojia Wu is a scholar working on Health Informatics, Developmental Biology, Radiology, Nuclear Medicine and Imaging, Geriatrics and Gerontology and Hepatology, having authored 22 papers that have together received 533 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Mechanical Behavior of Composites (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Liver Disease and Transplantation (2 papers), Functional Brain Connectivity Studies (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Smart Materials for Construction (1 paper). The work is most often cited by research in Infectious Diseases (309 citations), Critical Care and Intensive Care Medicine (72 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Neurology (143 citations) and Health Informatics (7 citations). Xiaojia Wu has collaborated with scholars based in China, Sweden and Austria. Frequent co-authors include Dajing Guo, Linli Chen, Chuanming Li, Fang Zheng, Jiong Wu, Wenbing Zeng, Huizhe Huang, Chuanming Li, Wei Zhang and Lin Tang. Their work appears in journals such as Polymer Composites, World Neurosurgery, Composite Structures, Frontiers in Aging Neuroscience and Investigative Radiology.

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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2026