Weizhong Li
- Molecular Biology top 0.2%
- Genomics and Phylogenetic Studies 15
- RNA and protein synthesis mechanisms 5
- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 4
- Bioinformatics and Genomic Networks 4
- Endocrinology top 0.5%
- Ecology top 0.5%
- Plant Science top 0.2%
- Biotechnology top 0.2%
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- Photonic and Optical Devices 5
- Advanced Photonic Communication Systems 5
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Rodrigo LópezHamish McWilliamFabian SieversToby J. GibsonMichael RemmertDesmond G. HigginsKevin KarplusJulie Thompson
- Journals
- Nucleic Acids Research (7 papers)Bioinformatics (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Weizhong Li
60 papers receiving 22.0k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Molecular Biology 12.9k
- Endocrinology 771
- Ecology 3.2k
- Plant Science 4.5k
- Biotechnology 1.0k
Countries citing papers authored by Weizhong Li
This map shows the geographic impact of Weizhong 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 Weizhong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhong Li more than expected).
Fields of papers citing papers by Weizhong Li
This network shows the impact of papers produced by Weizhong 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 Weizhong Li. The network helps show where Weizhong Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weizhong 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 | 1 | |
| 2 | 2024 | 25 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 14 | |
| 9 | Deep Learning and Its Applications in Biomedicinebreakdown → | 2018 | 404 |
| 10 | 2016 | 7 | |
| 11 | 2015 | 27 | |
| 12 | Experimental on multiple bubble motion in a wedged orifice flow meter | 2012 | 1 |
| 13 | Technique for image fusion based on non-subsampled contourlet transform domain receptive field model | 2011 | 3 |
| 14 | A new bioinformatics analysis tools framework at EMBL-EBIbreakdown → | 2010 | 1429 |
| 15 | Review of the Estimation of Forest Biomass by Remote Sensing | 2009 | 1 |
| 16 | 2009 | 3 | |
| 17 | 2009 | 54 | |
| 18 | 2009 | 1 | |
| 19 | Enclosure Design for Electronic Equipment | 2005 | 0 |
| 20 | Comprison of three kinds of interface reconstruction methods applied to VOF | 2003 | 2 |
About Weizhong Li
Weizhong Li is a scholar working on Molecular Biology, Cancer Research and Immunology, having authored 62 papers that have together received 22.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Photonic and Optical Devices (5 papers), Advanced Photonic Communication Systems (5 papers), RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Molecular Biology (12.9k citations), Endocrinology (771 citations) and Ecology (3.2k citations). Weizhong Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Rodrigo López, Hamish McWilliam, Fabian Sievers, Toby J. Gibson, Michael Remmert, Desmond G. Higgins, Kevin Karplus, Julie Thompson, Johannes Söding and Andreas Wilm. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Briefings in Bioinformatics, Database and Genomics Proteomics & Bioinformatics.
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.