Yanting Liang

420 citations
35 papers · 204 · h-index 9

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies

Papers in

Yanting Liang

30 papers receiving 203 citations

Peers

Yanting Liang
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 40
  • Oncology 40
  • Geriatrics and Gerontology 4
  • Cardiology and Cardiovascular Medicine 24
  • Neurology 7
Replace Steve V. DeSouza with:
Steve V. DeSouza New Zealand
Vincent Chow Canada
Kelly Reeve Switzerland
Cherng-Ru Hsu Taiwan
Suqin Li China
Guanghe Cui China
Deepak Nag Ayyala United States
Suganeswari Ganesan India
Catriona Keerie United Kingdom
Junchao Chen China
Yanting Liang relative to Steve V. DeSouza New Zealand Steve V. DeSouza's profile →
Citations per field
00.5×1.5×2.4×
Steve V. DeSouza · 1×
Citations per year

Countries citing papers authored by Yanting Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202118
2 202316
3 202213
4 202112
5 202112
6 202311
7 202410
8 202410
9 202310
10 20247
11 20237
12 20217
13 20237
14 20186
15 20256
16 20216
17 20236
18 20215
19 20244
20 20224

About Yanting Liang

Yanting Liang is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Epidemiology, having authored 35 papers that have together received 204 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (6 papers), Colorectal Cancer Surgical Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cardiovascular Health and Risk Factors (2 papers), AI in cancer detection (2 papers), Silk-based biomaterials and applications (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (40 citations), Oncology (40 citations), Geriatrics and Gerontology (4 citations), Cardiology and Cardiovascular Medicine (24 citations) and Neurology (7 citations). Yanting Liang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Huan Ma, Qingshan Geng, Haochen Wang, Bingqing Bai, Han Yin, Zhenhui Li, Zaiyi Liu, Anbang Liu, Zeyan Xu and Yilin Chen. Their work appears in journals such as Frontiers in Cardiovascular Medicine, BMC Psychiatry, Precision Clinical Medicine, Journal of the American Heart Association and Journal of Translational Medicine.

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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