Fei Xia

813 citations
34 papers · 601 · h-index 12

Impact in

Papers in

Fei Xia

29 papers receiving 592 citations

Peers

Fei Xia
Comparison fields: 5 of 82
  • Health Informatics 14
  • Hepatology 63
  • Epidemiology 190
  • Radiology, Nuclear Medicine and Imaging 92
  • Pharmacology 61
Replace Yuan Huang with:
Yuan Huang China
Pierre L. Levy France
Qing Tao China
Yanping Chen China
Qian Dai China
Hu Li China
Liping Liu China
Lixia Sun China
Sandip K. Bose United States
Fei Xia relative to Yuan Huang China Yuan Huang's profile →
Citations per field
00.5×2×4×6×8.4×
Yuan Huang · 1×
Citations per year

Countries citing papers authored by Fei Xia

Since Specialization
Citations

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

Fields of papers citing papers by Fei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201497
2 201482
3 201666
4 201255
5 200947
6 201645
7 201432
8
Automatic identification of critical follow-up recommendation sentences in radiology reports.
201130
9 201427
10 202122
11 201816
12 201512
13 201811
14 20209
15 20219
16 20178
17 20217
18 20247
19 20224
20
Clinical outcomes of 23-gauge vitrectomy may be better than 20-gauge vitrectomy for retinal detachment repair.
20153

About Fei Xia

Fei Xia is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Hepatology, Pharmacology and Ophthalmology, having authored 34 papers that have together received 601 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Corneal surgery and disorders (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Fungal Biology and Applications (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Inflammasome and immune disorders (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Health Informatics (14 citations), Hepatology (63 citations), Epidemiology (190 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Pharmacology (61 citations). Fei Xia has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yu Shi, Mark M. Wurfel, Meliha Yetisgen-Yildiz, Kevin J. Glaser, Richard Ehman, Jiahui Li, Bogdan Dzyubak, Imre Solti, Colin R. Cooke and Qiuju Li. Their work appears in journals such as BMC Ophthalmology, Scientific Reports, iScience, The American Journal of Gastroenterology and Microvascular Research.

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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