Bing Bai

701 citations
15 papers · 545 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Imaging Techniques and Applications (2 papers)Alzheimer's disease research and treatments (2 papers)

In The Last Decade

Bing Bai

15 papers receiving 541 citations

Peers

Bing Bai
Comparison fields: 5 of 86
  • Cognitive Neuroscience 201
  • Radiology, Nuclear Medicine and Imaging 156
  • Psychiatry and Mental health 97
  • Electrical and Electronic Engineering 82
  • Physiology 81
Replace B.J. Krause with:
B.J. Krause Germany
Qirui Zhang China
Guodong Wang China
Bing Hou China
Melanie Wulff Germany
Zhen Fan China
Roland Tammer Germany
Yichen Wei China
Jiayi Liu China
Chunyan Li United States
Bing Bai relative to B.J. Krause Germany B.J. Krause's profile →
Citations per field
00.5×20×40×60×82×
B.J. Krause · 1×
Citations per year

Countries citing papers authored by Bing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Bai

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 11
2 14
3 2
4
Initial Clinical Experience with the Canon Cartesion Prime Digital PET/CT
2
5 30
6 4
7 25
8 80
9
Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia.
7
10 80
11 1
12 5
13 5
14 6
15 273

About Bing Bai

Bing Bai is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Geriatrics and Gerontology, having authored 15 papers that have together received 545 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (201 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Psychiatry and Mental health (97 citations). Bing Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongxia Zhou, Karl F. Hübner, Rex Cannon, R. Kent Hutson, John H. Dougherty, Yongzhao Du, Guofeng Jia, Zhengjun Peng, Peizhong Liu and Wei Fan. Their work appears in journals such as Journal of Power Sources, Neuroscience and International Journal of Nanomedicine.

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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