Nan Hu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
-
- Video Coding and Compression Technologies 8
-
- Advanced Vision and Imaging 7
- Advanced Image Processing Techniques 5
- Advanced Data Compression Techniques 3
- Co-authors
- En‐hui Yang (5 shared papers)Qing Yang (3 shared papers)Dan Yang (3 shared papers)Yang Li (2 shared papers)Jacob Fish (4 shared papers)Gregory F. Oxenkrug (1 shared paper)Timothy M. Chan (2 shared papers)Chunxiang Kuang (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (4 papers)International Journal for Numerical Methods in Engineering (3 papers)eLife (2 papers)Frontiers in Genetics (1 paper)Cell Proliferation (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nan Hu
35 papers receiving 625 citations
Peers
Comparison fields: 5 of 119
- Biological Psychiatry 101
- Signal Processing 156
- Computer Vision and Pattern Recognition 178
- Behavioral Neuroscience 23
- Computer Graphics and Computer-Aided Design 26
Countries citing papers authored by Nan Hu
This map shows the geographic impact of Nan Hu'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 Nan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Hu more than expected).
Fields of papers citing papers by Nan Hu
This network shows the impact of papers produced by Nan Hu. 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 Nan Hu. The network helps show where Nan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2021 | 77 | |
| 3 | 2019 | 66 | |
| 4 | 2011 | 49 | |
| 5 | 2015 | 45 | |
| 6 | 2014 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2016 | 35 | |
| 9 | 2014 | 30 | |
| 10 | 2014 | 28 | |
| 11 | 2023 | 21 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2014 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2022 | 7 |
About Nan Hu
Nan Hu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology, Mechanics of Materials and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 632 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (8 papers), Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (5 papers), Composite Material Mechanics (5 papers), Bipolar Disorder and Treatment (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Advanced Data Compression Techniques (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (101 citations), Signal Processing (156 citations), Computer Vision and Pattern Recognition (178 citations), Behavioral Neuroscience (23 citations) and Computer Graphics and Computer-Aided Design (26 citations). Nan Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include En‐hui Yang, Qing Yang, Dan Yang, Yang Li, Jacob Fish, Gregory F. Oxenkrug, Timothy M. Chan, Chunxiang Kuang, Jimena Berni and Ching-Yeh Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, International Journal for Numerical Methods in Engineering, eLife, Frontiers in Genetics and Cell Proliferation.
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.