Hao Lin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Bioinformatics 5
- Gene expression and cancer classification 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Fanny Dao (2 shared papers)Zimei Zhang (2 shared papers)Hui Qiong Yang (2 shared papers)Kejun Deng (3 shared papers)Zhao‐Yue Zhang (2 shared papers)Ming Wu (1 shared paper)Dan Yan (1 shared paper)Xiaolin He (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)IEEE Transactions on Antennas and Propagation (3 papers)Methods (2 papers)Nucleic Acids Research (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Hao Lin
36 papers receiving 902 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 194
- Health Information Management 49
- Molecular Biology 543
- Microbiology 16
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Hao Lin
This map shows the geographic impact of Hao Lin'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 Hao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Lin more than expected).
Fields of papers citing papers by Hao Lin
This network shows the impact of papers produced by Hao Lin. 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 Hao Lin. The network helps show where Hao Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Lin, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 190 | |
| 2 | 2021 | 148 | |
| 3 | 2020 | 86 | |
| 4 | 2015 | 74 | |
| 5 | 2022 | 44 | |
| 6 | 2020 | 42 | |
| 7 | 2019 | 39 | |
| 8 | 2023 | 38 | |
| 9 | 2021 | 38 | |
| 10 | 2024 | 38 | |
| 11 | 2021 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Hao Lin
Hao Lin is a scholar working on Molecular Biology, Cancer Research, Aerospace Engineering, Health Information Management and Oncology, having authored 40 papers that have together received 912 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Antenna Design and Analysis (5 papers), Antenna Design and Optimization (5 papers), Gene expression and cancer classification (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers) and Microwave Engineering and Waveguides (3 papers). The work is most often cited by research in Cancer Research (194 citations), Health Information Management (49 citations), Molecular Biology (543 citations), Microbiology (16 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Hao Lin has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Fanny Dao, Zimei Zhang, Hui Qiong Yang, Kejun Deng, Zhao‐Yue Zhang, Ming Wu, Dan Yan, Xiaolin He, Yamei Luo and Bowen Peng. Their work appears in journals such as Frontiers in Immunology, IEEE Transactions on Antennas and Propagation, Methods, Nucleic Acids Research and International Journal of Biological Macromolecules.
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.