Kun Huang
Impact in
- Health Informatics top 1%
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Biophysics 19
- Cell Image Analysis Techniques 19
-
- Cancer Genomics and Diagnostics 24
- Co-authors
- Jie ZhangZhi HanTongxin WangZhi HuangTravis S. JohnsonRaghu MachirajuJeffrey D. ParvinSong‐Hai Shi
- Journals
- BMC Bioinformatics (11 papers)BMC Genomics (10 papers)Bioinformatics (8 papers)BMC Medical Genomics (6 papers)Nature Communications (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kun Huang
297 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Health Informatics 134
- Developmental Neuroscience 339
- Cancer Research 999
- Biophysics 349
- Molecular Biology 2.8k
Countries citing papers authored by Kun Huang
This map shows the geographic impact of Kun 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 Kun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Huang more than expected).
Fields of papers citing papers by Kun Huang
This network shows the impact of papers produced by Kun 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 Kun Huang. The network helps show where Kun Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 11 | |
| 16 | 2019 | 31 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 98 | |
| 19 | 2011 | 54 | |
| 20 | 2010 | 97 |
About Kun Huang
Kun Huang is a scholar working on Biophysics, Cancer Research, Health Informatics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 325 papers that have together received 6.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (47 papers), Bioinformatics and Genomic Networks (42 papers), AI in cancer detection (25 papers), Cancer Genomics and Diagnostics (24 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Single-cell and spatial transcriptomics (21 papers), Genomics and Chromatin Dynamics (20 papers) and Cell Image Analysis Techniques (19 papers). The work is most often cited by research in Health Informatics (134 citations), Developmental Neuroscience (339 citations), Cancer Research (999 citations), Biophysics (349 citations) and Molecular Biology (2.8k citations). Kun Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jie Zhang, Zhi Han, Tongxin Wang, Zhi Huang, Travis S. Johnson, Raghu Machiraju, Jeffrey D. Parvin, Song‐Hai Shi, Yi Ma and Wei Shao. Their work appears in journals such as BMC Bioinformatics, BMC Genomics, Bioinformatics, BMC Medical Genomics and Nature Communications.
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.