Xiaoping Yu

2.7k citations
151 papers · 2.1k · 1 hit paper · h-index 23

Impact in

Papers in

Xiaoping Yu

140 papers receiving 2k citations

Xiaoping Yu's Hit Papers

CT Radiomics to Predict Macrotrabecular-Massive Subtype and Immune Status in Hepatocellular Carcinoma 2022 · 120 citations
1200+1+2Years since publication4080120

Peers

Xiaoping Yu
Comparison fields: 5 of 115
  • Hepatology 366
  • Radiology, Nuclear Medicine and Imaging 519
  • Biochemistry 101
  • Otorhinolaryngology 70
  • Insect Science 114
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Watcharin Loilome Thailand
Tong‐Hong Wang Taiwan
Yongqiang Zhang China
Ji Bao China
Seddik Hammad Germany
Ting Yang China
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Citations per field
00.5×5×10×13.7×
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Citations per year

Countries citing papers authored by Xiaoping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014306
2 2005129
3
CT Radiomics to Predict Macrotrabecular-Massive Subtype and Immune Status in Hepatocellular Carcinoma
Hit paper breakdown →
2022120
4 2022114
5
Association between vascular endothelial growth factor and metastasis after transcatheter arterial chemoembolization in patients with hepatocellular carcinoma.
200471
6 201569
7 201447
8 201743
9 202140
10 201639
11 202138
12 201637
13 201733
14 201030
15 202329
16 200728
17 201228
18 201627
19 200824
20 201624

About Xiaoping Yu

Xiaoping Yu is a scholar working on Insect Science, Radiology, Nuclear Medicine and Imaging, Ecology, Evolution, Behavior and Systematics, Cancer Research and Molecular Biology, having authored 151 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), MRI in cancer diagnosis (14 papers), Hemiptera Insect Studies (13 papers), Insect symbiosis and bacterial influences (13 papers), Insect-Plant Interactions and Control (11 papers), Insect Resistance and Genetics (10 papers), Head and Neck Cancer Studies (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Hepatology (366 citations), Radiology, Nuclear Medicine and Imaging (519 citations), Biochemistry (101 citations), Otorhinolaryngology (70 citations) and Insect Science (114 citations). Xiaoping Yu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Wei Wang, Lu Wen, Jijin Yang, Ian B Walters, Masatoshi Kudo, Jean‐Frédéric Blanc, Tawesak Tanwandee, Won Young Tak, Richard S. Finn and Valerie Poulart. Their work appears in journals such as Frontiers in Oncology, Insects, Abdominal Radiology, BMC Cancer and Academic 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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