Yuqin Li

629 citations
38 papers · 434 indexed · h-index 8
Co-authors
Jihui JiaXia ZhaoDan ZhangHui XieMenglian WuYonggang SuYang YangJianzhou Wang
Topics
Radiomics and Machine Learning in Medical Imaging (6 papers)Text and Document Classification Technologies (5 papers)Lung Cancer Diagnosis and Treatment (4 papers)

In The Last Decade

Yuqin Li

34 papers receiving 417 citations

Peers

Yuqin Li
Comparison fields: 5 of 113
  • Health 122
  • Clinical Psychology 99
  • General Health Professions 92
  • Artificial Intelligence 72
  • Electrical and Electronic Engineering 46
Replace Akram Farhadi with:
Akram Farhadi Iran
Qinghua Zhang China
David Camacho United States
Grant Duncan United Kingdom
Weiyu Mao United States
M.S.H. Duijnstee Netherlands
Hui Xie China
Khalisa Bolling United States
Courtney Potts United Kingdom
Yuqin Li relative to Akram Farhadi Iran Akram Farhadi's profile →
Citations per field
00.5×
Akram Farhadi · 1×
Citations per year

Countries citing papers authored by Yuqin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuqin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuqin Li. A scholar is included among the top collaborators of Yuqin Li 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 Yuqin Li. Yuqin Li 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 2
4 4
5 3
6 2
7 2
8 21
9 3
10 6
11 6
12 10
13 10
14 5
15 9
16 144
17 4
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Study on feature selection algorithm in topic tracking
3
19 1
20
A Fast KNN Algorithm Based on Simulated Annealing.
5

About Yuqin Li

Yuqin Li is a scholar working on Health Informatics, Neuropsychology and Physiological Psychology and Health, having authored 38 papers that have together received 434 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Text and Document Classification Technologies (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (29 citations), Health (122 citations) and Clinical Psychology (99 citations). Yuqin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jihui Jia, Xia Zhao, Dan Zhang, Hui Xie, Menglian Wu, Yonggang Su, Yang Yang, Jianzhou Wang, He Jiang and Yao Dong. Their work appears in journals such as Polymer, Energy Policy and Energy Conversion and Management.

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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