Harrison X. Bai

2.1k citations
90 papers · 1.2k indexed · h-index 21
Topics
Radiomics and Machine Learning in Medical Imaging (23 papers)Lung Cancer Diagnosis and Treatment (11 papers)Lymphoma Diagnosis and Treatment (8 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageScientific Reports

In The Last Decade

Harrison X. Bai

81 papers receiving 1.2k citations

Peers

Harrison X. Bai
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 394
  • Pulmonary and Respiratory Medicine 365
  • Oncology 192
  • Epidemiology 154
  • Neurology 135
Replace Takeyuki Watadani with:
Takeyuki Watadani Japan
Te‐Chun Hsieh Taiwan
Zhan Feng China
Ok Hee Woo South Korea
Wolfgang G. Kunz Germany
Frederic Carsten Schmeel Germany
Jacob New United States
Christian Freudlsperger Germany
Harrison X. Bai relative to Takeyuki Watadani Japan Takeyuki Watadani's profile →
Citations per field
00.5×
Takeyuki Watadani · 1×
Citations per year

Countries citing papers authored by Harrison X. Bai

Since Specialization
Citations

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

Fields of papers citing papers by Harrison X. Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harrison X. Bai. 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 Harrison X. Bai. The network helps show where Harrison X. Bai may publish in the future.

Co-authorship network of co-authors of Harrison X. Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Harrison X. Bai. A scholar is included among the top collaborators of Harrison X. Bai 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 Harrison X. Bai. Harrison X. Bai 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 0
3 0
4 3
5 2
6 0
7 4
8 1
9 24
10 8
11 29
12 39
13 6
14 20
15 4
16 13
17 4
18 39
19 18
20 7

About Harrison X. Bai

Harrison X. Bai is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (394 citations) and Pulmonary and Respiratory Medicine (365 citations). Harrison X. Bai has collaborated with scholars based in United States, China and Belarus. Frequent co-authors include Paul J. Zhang, Zishu Zhang, Li Yang, Ashley M. Lee, Chang Su, Giorgos C. Karakousis, Zhicheng Jiao, Bo Xiao, Raymond Y. Huang and Ihab R. Kamel. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage 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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