Kai‐Hsiung Ko

907 citations
46 papers · 641 indexed · h-index 17
Topics
Lung Cancer Diagnosis and Treatment (14 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Lung Cancer Treatments and Mutations (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
TaiwanJapanUnited States

In The Last Decade

Kai‐Hsiung Ko

40 papers receiving 622 citations

Peers

Kai‐Hsiung Ko
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 253
  • Radiology, Nuclear Medicine and Imaging 247
  • Cardiology and Cardiovascular Medicine 133
  • Surgery 127
  • Pathology and Forensic Medicine 105
Replace Michele Zeverino with:
Michele Zeverino Switzerland
Seiji Kurata Japan
Wynnie W.M. Lam Hong Kong
Francesco Dondi Italy
Raffaele Solla Italy
Raymondo Endozo United Kingdom
Yu‐Hsiang Juan Taiwan
Fumi Kato Japan
İclal Ocak United States
Susanne Wienbeck Germany
Kai‐Hsiung Ko relative to Michele Zeverino Switzerland Michele Zeverino's profile →
Citations per field
00.5×1.5×1.8×
Michele Zeverino · 1×
Citations per year

Countries citing papers authored by Kai‐Hsiung Ko

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Hsiung Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Hsiung Ko. 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 Kai‐Hsiung Ko. The network helps show where Kai‐Hsiung Ko may publish in the future.

Co-authorship network of co-authors of Kai‐Hsiung Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Hsiung Ko. A scholar is included among the top collaborators of Kai‐Hsiung Ko 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 Kai‐Hsiung Ko. Kai‐Hsiung Ko 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 0
2 1
3 0
4 1
5 34
6 13
7 10
8 17
9 16
10 3
11 18
12 72
13 25
14 4
15 2
16 21
17 5
18 125
19 5
20 18

About Kai‐Hsiung Ko

Kai‐Hsiung Ko is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 46 papers that have together received 641 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (247 citations), Pulmonary and Respiratory Medicine (253 citations) and Cardiology and Cardiovascular Medicine (133 citations). Kai‐Hsiung Ko has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Wei‐Chou Chang, Hsian‐He Hsu, Guo‐Shu Huang, Jun Kim, Kyoung‐Suk Rhee, Yong Hoon Kim, Charles Antzelevitch, Chi‐Ming Chu, Hung Chang and Shih-Chun Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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