Haolin Chen

825 total citations
40 papers, 590 citations indexed

About

Haolin Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Haolin Chen has authored 40 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Haolin Chen's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Seismic Imaging and Inversion Techniques (5 papers) and Music and Audio Processing (3 papers). Haolin Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Seismic Imaging and Inversion Techniques (5 papers) and Music and Audio Processing (3 papers). Haolin Chen collaborates with scholars based in China, United States and Switzerland. Haolin Chen's co-authors include Jun Wu, Yifen Fang, Yanqiu Feng, Guofa Li, Junhang Luo, Tianqi Nie, Shurong Li, Huanjun Wang, Haohua Yao and Yan Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Haolin Chen

35 papers receiving 584 citations

Peers

Haolin Chen
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 161
  • Biomedical Engineering 144
  • Surgery 95
  • Biomaterials 81
  • Rehabilitation 77
Replace Chong-Ke Zhao with:
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Leila B. Mostaço-Guidolin Canada
Fernando Navarro United States
Xiaoping Leng China
Wentao Kong China
Dimitris Gorpas Germany
Gabriel Gruionu United States
Dimitrios Kapsokalyvas Italy
Robert G. Mannino United States
Chong-Ke Zhao China View profile →
Citations per field, relative to Haolin Chen
Haolin Chen · 1×
Citations per year, relative to Haolin Chen
Haolin Chen · 1×

Countries citing papers authored by Haolin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haolin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haolin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haolin Chen. A scholar is included among the top collaborators of Haolin Chen 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 Haolin Chen. Haolin Chen 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
# Work Indexed citations
1 0
2 1
3 9
4 6
5 12
6 5
7 3
8 3
9 1
10 25
11 6
12 3
13 1
14 22
15 52
16 44
17 35
18 10
19 11
20
STUDY ON THEORETICAL WAVEFORM FROM AIR GUNS
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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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