Yingzi Liu

2.5k citations
71 papers · 1.8k · h-index 24

Impact in

Papers in

    • Medical Imaging Techniques and Applications 13
    • Radiomics and Machine Learning in Medical Imaging 6
    • Boron Compounds in Chemistry 4
    • Advanced Radiotherapy Techniques 12
    • Nuclear Physics and Applications 9

Yingzi Liu

70 papers receiving 1.8k citations

Peers

Yingzi Liu
Comparison fields: 5 of 139
  • Radiation 464
  • Radiology, Nuclear Medicine and Imaging 588
  • Health Informatics 31
  • Computer Vision and Pattern Recognition 310
  • Geriatrics and Gerontology 28
Replace Amit Garg with:
Amit Garg United States
Hamid Abdollahi Iran
Lorenzo Bianchi Italy
Linlin Wang China
Yuanyuan Chen China
Isabella Ellinger Austria
Ke Zhang China
Xiaoqin Wang China
N.A.W. van Riel Netherlands
Despina Kontos United States
Yingzi Liu relative to Amit Garg United States Amit Garg's profile →
Citations per field
00.5×7.8×
Amit Garg · 1×
Citations per year

Countries citing papers authored by Yingzi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yingzi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019223
2 2019165
3 2020159
4 201495
5 201975
6 202071
7 201969
8 201961
9 201957
10 201357
11 201953
12 201645
13 202042
14 202038
15 201937
16 201936
17 202035
18 202033
19 201932
20 200929

About Yingzi Liu

Yingzi Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Molecular Biology and Radiological and Ultrasound Technology, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Advanced Radiotherapy Techniques (12 papers), Nuclear Physics and Applications (9 papers), Advanced X-ray and CT Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Radioactivity and Radon Measurements (5 papers), Boron Compounds in Chemistry (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Radiation (464 citations), Radiology, Nuclear Medicine and Imaging (588 citations), Health Informatics (31 citations), Computer Vision and Pattern Recognition (310 citations) and Geriatrics and Gerontology (28 citations). Yingzi Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tonghe Wang, Xiaofeng Yang, Yang Lei, Walter J. Curran, Pretesh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Sibo Tian and Tian Liu. Their work appears in journals such as Medical Physics, Physiological Measurement, Physics in Medicine and Biology, Bioorganic & Medicinal Chemistry and Carbohydrate Polymers.

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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