Ning Huang
- Health Informatics top 2%
-
- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 3
-
- Medical Image Segmentation Techniques 3
- Biomedical Engineering top 10%
- Environmental remediation with nanomaterials 5
- Nanoplatforms for cancer theranostics 4
- Ultrasound and Hyperthermia Applications 3
- Biomaterials top 10%
-
- Geochemistry and Elemental Analysis 3
-
- Chromium effects and bioremediation 3
Ning Huang
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Health Informatics 50
- Radiology, Nuclear Medicine and Imaging 371
- Computer Vision and Pattern Recognition 182
- Biomedical Engineering 369
- Biomaterials 109
Countries citing papers authored by Ning Huang
This map shows the geographic impact of Ning 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 Ning Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Huang more than expected).
Fields of papers citing papers by Ning Huang
This network shows the impact of papers produced by Ning 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 Ning Huang. The network helps show where Ning Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning 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 | 2024 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 19 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 134 | |
| 11 | 2020 | 71 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 329 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 31 | |
| 19 | 2018 | 22 | |
| 20 | 2012 | 37 |
About Ning Huang
Ning Huang is a scholar working on Health Informatics, Geochemistry and Petrology and Biomedical Engineering, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Environmental remediation with nanomaterials (5 papers), Nanoplatforms for cancer theranostics (4 papers), Medical Image Segmentation Techniques (3 papers), Geochemistry and Elemental Analysis (3 papers), Chromium effects and bioremediation (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (371 citations) and Computer Vision and Pattern Recognition (182 citations). Ning Huang has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Shaoting Zhang, Guotai Wang, Yuan Cheng, Xinglong Liu, Tao Meng, Chaoping Li, Haifeng Zhu, Kang Li, Zhiyong Xu and Zhi‐Gang Wang. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Chemical 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.