Xia Yang

983 citations
46 papers · 684 · h-index 12

Impact in

Papers in

Xia Yang

43 papers receiving 678 citations

Peers

Xia Yang
Comparison fields: 5 of 107
  • Cognitive Neuroscience 404
  • Psychiatry and Mental health 154
  • Radiology, Nuclear Medicine and Imaging 204
  • Cellular and Molecular Neuroscience 118
  • Neurology 70
Replace Rainer Beckmann with:
Rainer Beckmann Germany
Ye‐Lei Tang China
Gideon Rosenthal Israel
Fabrice Bartolomei France
Lin Wu China
Atsushi Kamei Japan
Zhiping Yao China
Joshua Cappell United States
Omar Khan United States
Sónia Batista Portugal
Xia Yang relative to Rainer Beckmann Germany Rainer Beckmann's profile →
Citations per field
00.5×5.4×
Rainer Beckmann · 1×
Citations per year

Countries citing papers authored by Xia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia Yang, 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 Xia Yang Line = papers co-authored together Xia Yang 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 2010211
2 2011108
3 201562
4 201145
5 202343
6 201530
7 202218
8 202317
9 201014
10 202312
11 202211
12 202511
13 202210
14 20237
15 20227
16 20227
17 20236
18 20226
19 20246
20 20225

About Xia Yang

Xia Yang is a scholar working on Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 684 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (3 papers), Ocular Surface and Contact Lens (3 papers), EEG and Brain-Computer Interfaces (3 papers), AI in cancer detection (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (404 citations), Psychiatry and Mental health (154 citations), Radiology, Nuclear Medicine and Imaging (204 citations), Cellular and Molecular Neuroscience (118 citations) and Neurology (70 citations). Xia Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dezhong Yao, Cheng Luo, Qiyong Gong, Dong Zhou, Qifu Li, Yongxiu Lai, Wei Liao, Yun Qin, Shasha Li and Kaiqing Xue. Their work appears in journals such as Ophthalmology and Therapy, Frontiers in Oncology, Human Brain Mapping, Scientific Reports and Food Research International.

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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