Haofeng Li
Impact in
-
- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Health Informatics top 10%
Papers in
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- Thin-Film Transistor Technologies 16
- Photonic and Optical Devices 10
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- Nanowire Synthesis and Applications 17
- Co-authors
- Guanbin Li (17 shared papers)Yizhou Yu (6 shared papers)Guanqi Chen (4 shared papers)Wenzhen Chen (10 shared papers)Rui Jia (15 shared papers)Xinyu Liu (12 shared papers)Xiaoxin Wang (9 shared papers)Jifeng Liu (7 shared papers)
- Journals
- Applied Physics Letters (7 papers)Journal of Applied Physics (4 papers)IEEE Transactions on Medical Imaging (4 papers)Solar Energy (3 papers)Annals of Nuclear Energy (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haofeng Li
94 papers receiving 1.4k citations
Haofeng Li's Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 299
- Health Informatics 13
- Electrical and Electronic Engineering 441
- Biomedical Engineering 336
- Pharmacology 57
Countries citing papers authored by Haofeng Li
This map shows the geographic impact of Haofeng Li'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 Haofeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haofeng Li more than expected).
Fields of papers citing papers by Haofeng Li
This network shows the impact of papers produced by Haofeng Li. 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 Haofeng Li. The network helps show where Haofeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haofeng Li, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2022 | 80 | |
| 3 | 2011 | 77 | |
| 4 | 2013 | 55 | |
| 5 | 2012 | 54 | |
| 6 | 2009 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2010 | 46 | |
| 9 | 2019 | 38 | |
| 10 | 2018 | 37 | |
| 11 | 2021 | 37 | |
| 12 | 2015 | 30 | |
| 13 | 2007 | 30 | |
| 14 | 2018 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2012 | 23 |
About Haofeng Li
Haofeng Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (17 papers), Thin-Film Transistor Technologies (16 papers), Silicon Nanostructures and Photoluminescence (12 papers), Photonic and Optical Devices (10 papers), Nuclear reactor physics and engineering (8 papers), AI in cancer detection (7 papers), Medical Image Segmentation Techniques (5 papers) and Nuclear Physics and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (299 citations), Health Informatics (13 citations), Electrical and Electronic Engineering (441 citations), Biomedical Engineering (336 citations) and Pharmacology (57 citations). Haofeng Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guanbin Li, Yizhou Yu, Guanqi Chen, Wenzhen Chen, Rui Jia, Xinyu Liu, Xiaoxin Wang, Jifeng Liu, Wuchang Ding and Tianchun Ye. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics, IEEE Transactions on Medical Imaging, Solar Energy and Annals of Nuclear Energy.
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.