Jin-Hua Chen

872 total citations
16 papers, 568 citations indexed

About

Jin-Hua Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jin-Hua Chen has authored 16 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Jin-Hua Chen's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Jin-Hua Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Jin-Hua Chen collaborates with scholars based in Taiwan, China and United States. Jin-Hua Chen's co-authors include Chia‐Hung Kao, Ji‐An Liang, Wan‐Yu Lin, Hueisch‐Jy Ding, Cheng‐Chieh Lin, Hsin‐Yi Wang, Kai‐Yuan Cheng, Jun‐Jun Yeh, Chun-Yi Lin and Chun‐Ru Chien and has published in prestigious journals such as Scientific Reports, Colloids and Surfaces B Biointerfaces and Journal of Pain and Symptom Management.

In The Last Decade

Jin-Hua Chen

15 papers receiving 560 citations

Peers

Jin-Hua Chen
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 244
  • Radiology, Nuclear Medicine and Imaging 224
  • Surgery 193
  • Oncology 148
  • Cancer Research 63
Replace See Hyung Kim with:
See Hyung Kim South Korea
I. Fumagalli France
Kirsti Dean Finland
Gaia Piperno Italy
Corinna Altini Italy
Lilie L. Lin United States
P. Franzone Italy
Lee Alexander Grant United Kingdom
Toshihiko Moroga Japan
Blanca Paño Spain
See Hyung Kim South Korea View profile →
Citations per field, relative to Jin-Hua Chen
Jin-Hua Chen · 1×
Citations per year, relative to Jin-Hua Chen
Jin-Hua Chen · 1×

Countries citing papers authored by Jin-Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin-Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Hua Chen. A scholar is included among the top collaborators of Jin-Hua 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 Jin-Hua Chen. Jin-Hua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 6
3 3
4 6
5 23
6 6
7 36
8 8
9 56
10 107
11 33
12 66
13 85
14 41
15 20
16 72

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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