H. Li
- Clinical Biochemistry top 5%
-
- Neurobiology and Insect Physiology Research 2
- Animal Science and Zoology top 10%
- Ophthalmology top 10%
-
- Particle physics theoretical and experimental studies 6
- Particle Detector Development and Performance 5
-
- Superconducting Materials and Applications 3
-
- Metal Forming Simulation Techniques 2
-
- Advanced Data Storage Technologies 2
-
- Cancer Cells and Metastasis 2
-
- Lung Cancer Treatments and Mutations 2
H. Li
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Clinical Biochemistry 140
- Cellular and Molecular Neuroscience 176
- Aging 13
- Animal Science and Zoology 64
- Ophthalmology 50
Countries citing papers authored by H. Li
This map shows the geographic impact of H. 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 H. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Li more than expected).
Fields of papers citing papers by H. Li
This network shows the impact of papers produced by H. 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 H. Li. The network helps show where H. Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | Experimental and Numerical Investigations on Nonlinear Shear Behavior of Rough Joints | 2018 | 0 |
| 12 | 2016 | 2 | |
| 13 | 2014 | 77 | |
| 14 | 2013 | 40 | |
| 15 | 2013 | 77 | |
| 16 | 2010 | 9 | |
| 17 | 2009 | 25 | |
| 18 | Precision Measurements of SM Higgs Recoil Mass and Cross Section for s**1/2 of 230-GeV and 250-GeV at ILC | 2009 | 1 |
| 19 | 2007 | 17 | |
| 20 | 2000 | 193 |
About H. Li
H. Li is a scholar working on Microbiology, Nuclear and High Energy Physics, Discrete Mathematics and Combinatorics, Clinical Biochemistry and Obstetrics and Gynecology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (5 papers), Superconducting Materials and Applications (3 papers), Neurobiology and Insect Physiology Research (2 papers), Metal Forming Simulation Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Cancer Cells and Metastasis (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Clinical Biochemistry (140 citations), Cellular and Molecular Neuroscience (176 citations), Aging (13 citations), Animal Science and Zoology (64 citations) and Ophthalmology (50 citations). H. Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jay Hirsh, Michael Forte, Sarah Cunard Chaney, Ke Shi, Dongwoo Chang, Y. Chen, Haitao Huang, Zengli Zhao, Chao Wu and Haonan Wang. Their work appears in journals such as Current Biology, IEEE Transactions on Nuclear Science, Molecular Therapy — Oncolytics, Journal of Thoracic Oncology and IEEE Transactions on Industrial Electronics.
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.