Junhao Huang

1.0k citations
20 papers · 698 indexed · h-index 9
Topics
Medical Imaging Techniques and Applications (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced X-ray and CT Imaging (2 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaOncogene

In The Last Decade

Junhao Huang

18 papers receiving 684 citations

Peers

Junhao Huang
Comparison fields: 5 of 101
  • Molecular Biology 338
  • Immunology 143
  • Oncology 141
  • Cancer Research 125
  • Epidemiology 109
Replace Edith van der Linden with:
Edith van der Linden Netherlands
Yanling Feng China
He Zhao China
Qi Gao China
Christian Knaak United States
Runnan Li Taiwan
Yanping Liang China
Jeroen van den Berg Netherlands
Ting Lin China
Kaishun Hu China
Junhao Huang relative to Edith van der Linden Netherlands Edith van der Linden's profile →
Citations per field
00.5×10×17.2×
Edith van der Linden · 1×
Citations per year

Countries citing papers authored by Junhao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Junhao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Junhao Huang. A scholar is included among the top collaborators of Junhao Huang 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 Junhao Huang. Junhao Huang 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 12
5 8
6 3
7 2
8 9
9 127
10 9
11 82
12 48
13 136
14 5
15 147
16 1
17 8
18 6
19 1
20 93

About Junhao Huang

Junhao Huang is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 698 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Cancer Research (125 citations) and Management of Technology and Innovation (53 citations). Junhao Huang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jun Tang, Jia Mai, Rong Deng, Xiao‐Feng Zhu, Yuhong Chen, Gong‐Kan Feng, Yun Huang, Zhi‐Ling Li, Xiao-Dan Peng and Li-Huan Zhou. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Oncogene.

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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