Ruiqing Liu

604 citations
45 papers · 344 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (12 papers)Gastric Cancer Management and Outcomes (7 papers)Colorectal Cancer Surgical Treatments (6 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Medical Imaging

In The Last Decade

Ruiqing Liu

41 papers receiving 337 citations

Peers

Ruiqing Liu
Comparison fields: 5 of 94
  • Artificial Intelligence 112
  • Radiology, Nuclear Medicine and Imaging 93
  • Pulmonary and Respiratory Medicine 54
  • Genetics 53
  • Surgery 50
Replace Shengtian Sang with:
Shengtian Sang United States
Duc Tien Dang Nguyen Norway
Md. Faysal Ahamed Bangladesh
Sayed Shahabuddin Hoseini United States
Pia H. Smedsrud Norway
Bai Ji China
Vajira Thambawita Norway
Sijuan Huang China
Maleika Heenaye-Mamode Khan Mauritius
Ruiqing Liu relative to Shengtian Sang United States Shengtian Sang's profile →
Citations per field
00.5×7.6×
Shengtian Sang · 1×
Citations per year

Countries citing papers authored by Ruiqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruiqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiqing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiqing Liu. A scholar is included among the top collaborators of Ruiqing Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruiqing Liu. Ruiqing Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 3
6 22
7 5
8 3
9 1
10 7
11 9
12 3
13 6
14 4
15 6
16 9
17 5
18 5
19 45
20 54

About Ruiqing Liu

Ruiqing Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Gastroenterology and Oncology, having authored 45 papers that have together received 344 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Gastric Cancer Management and Outcomes (7 papers) and Colorectal Cancer Surgical Treatments (6 papers). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Gastroenterology (22 citations). Ruiqing Liu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Yuanting Yan, Yanping Zhang, Xiuquan Du, Jie Chen, Hao Zhang, Rong Hua, Yun Lu, Shunli Liu, Tianye Niu and Yiwen Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.

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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