Xiaoxu Wang

406 citations
36 papers · 205 · h-index 7

Impact in

Papers in

Xiaoxu Wang

32 papers receiving 200 citations

Peers

Xiaoxu Wang
Comparison fields: 5 of 99
  • Family Practice 12
  • Computer Vision and Pattern Recognition 71
  • Geriatrics and Gerontology 10
  • Artificial Intelligence 39
  • Health, Toxicology and Mutagenesis 15
Replace Lei Jin with:
Lei Jin China
Zeping Ren China
Anthony Joseph United States
Alejandro Taláminos-Barroso Spain
Nekane Larburu Spain
Rongjie Huang China
Xiaode Zhang China
Fabio Manca Italy
Haoqiang Fan China
Arpit Bansal India
Xiaoxu Wang relative to Lei Jin China Lei Jin's profile →
Citations per field
00.5×3.9×
Lei Jin · 1×
Citations per year

Countries citing papers authored by Xiaoxu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 202113
3 202113
4 202110
5 202410
6 20198
7 20187
8 20146
9
Space Vector Control of a Permanent Magnet Linear Synchronous Motor Based on the Improved Single Neuron PID Algorithm
20206
10 20215
11 20215
12 20244
13 20224
14 20234
15 20243
16 20243
17 20243
18 20213
19 20243
20 20233

About Xiaoxu Wang

Xiaoxu Wang is a scholar working on Epidemiology, Surgery, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 205 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Medication Adherence and Compliance (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Multimodal Machine Learning Applications (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Family Practice (12 citations), Computer Vision and Pattern Recognition (71 citations), Geriatrics and Gerontology (10 citations), Artificial Intelligence (39 citations) and Health, Toxicology and Mutagenesis (15 citations). Xiaoxu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xirong Li, Gang Yang, Chaoxi Xu, Jieping Xu, Weiyu Lan, Dongfeng Zhang, Fan Zhang, Wei Zheng, Yixin Cui and Suyun Li. Their work appears in journals such as Renal Failure, Current Medical Research and Opinion, International Journal of Cardiology, Respiration and International Journal of Nursing Studies.

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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