Chia‐Feng Lu

1.7k citations
71 papers · 1.1k · h-index 18

Impact in

Papers in

    • Radiomics and Machine Learning in Medical Imaging 18
    • Advanced Neuroimaging Techniques and Applications 11
    • Optical Imaging and Spectroscopy Techniques 5
    • Transcranial Magnetic Stimulation Studies 9

Chia‐Feng Lu

66 papers receiving 1.1k citations

Peers

Chia‐Feng Lu
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 554
  • Neurology 193
  • Physical Therapy, Sports Therapy and Rehabilitation 75
  • Genetics 174
  • Rehabilitation 100
Replace Susanne Siemonsen with:
Susanne Siemonsen Germany
Yun Jung Bae South Korea
Till‐Karsten Hauser Germany
Xing‐Chang Wei Canada
Alex Förster Germany
Eero Salli Finland
Olivier Scheidegger Switzerland
Gianluca Brugnara Germany
Masamichi Koyama Japan
Chia‐Feng Lu relative to Susanne Siemonsen Germany Susanne Siemonsen's profile →
Citations per field
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Susanne Siemonsen · 1×
Citations per year

Countries citing papers authored by Chia‐Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Feng Lu. 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 Chia‐Feng Lu. The network helps show where Chia‐Feng Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia‐Feng Lu, 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 Chia‐Feng Lu Line = papers co-authored together Chia‐Feng Lu 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 2018210
2 201591
3 201849
4 201343
5 199640
6 202040
7 201139
8 202138
9 202132
10 201429
11 202026
12 201326
13 202226
14 201825
15 201820
16 202119
17 201918
18 202317
19 202317
20 201616

About Chia‐Feng Lu

Chia‐Feng Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Epidemiology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), Transcranial Magnetic Stimulation Studies (9 papers), Glioma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (7 papers), Functional Brain Connectivity Studies (7 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (554 citations), Neurology (193 citations), Physical Therapy, Sports Therapy and Rehabilitation (75 citations), Genetics (174 citations) and Rehabilitation (100 citations). Chia‐Feng Lu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yu‐Te Wu, Cheng‐Yu Chen, Yu‐Chieh Jill Kao, Yu-Te Wu, Ray‐Yau Wang, Hsiu‐Mei Wu, Yea‐Ru Yang, Kevin Li‐Chun Hsieh, Ping‐Huei Tsai and Fei‐Ting Hsu. Their work appears in journals such as Cancers, PLoS ONE, Clinical Neurophysiology, Cancer Imaging and Scientific Reports.

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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