Yanda Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
-
- Coleoptera Taxonomy and Distribution 70
- Fossil Insects in Amber 64
-
- RNA and protein synthesis mechanisms 17
- Machine Learning in Bioinformatics 14
- Co-authors
- Xuegong Zhang (22 shared papers)Liang Xiao (8 shared papers)Xiaowo Wang (15 shared papers)Pu-Feng Du (5 shared papers)Tao He (4 shared papers)Ying Huang (2 shared papers)Fei Li (3 shared papers)Shao Li (12 shared papers)
- Journals
- Bioinformatics (7 papers)Frontiers in Physiology (6 papers)Zootaxa (6 papers)Cretaceous Research (5 papers)Papéis Avulsos de Zoologia (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yanda Li
281 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 198
- Cancer Research 691
- Molecular Biology 2.2k
- Paleontology 220
- Signal Processing 335
- Complementary and alternative medicine 180
Countries citing papers authored by Yanda Li
This map shows the geographic impact of Yanda 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 Yanda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanda Li more than expected).
Fields of papers citing papers by Yanda Li
This network shows the impact of papers produced by Yanda 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 Yanda Li. The network helps show where Yanda Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanda 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 296 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 384 | |
| 2 | 2017 | 338 | |
| 3 | 2005 | 238 | |
| 4 | 2003 | 204 | |
| 5 | 2020 | 184 | |
| 6 | 2017 | 179 | |
| 7 | 2015 | 175 | |
| 8 | 2017 | 172 | |
| 9 | 2006 | 169 | |
| 10 | 2017 | 154 | |
| 11 | 2006 | 142 | |
| 12 | 2017 | 101 | |
| 13 | 2015 | 99 | |
| 14 | 2009 | 94 | |
| 15 | 2006 | 88 | |
| 16 | 2008 | 87 | |
| 17 | 1999 | 82 | |
| 18 | 2021 | 61 | |
| 19 | 2002 | 60 | |
| 20 | 1999 | 59 |
About Yanda Li
Yanda Li is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Paleontology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 296 papers that have together received 6.0k indexed citations. Recurring topics across this work include Coleoptera Taxonomy and Distribution (70 papers), Fossil Insects in Amber (64 papers), Scarabaeidae Beetle Taxonomy and Biogeography (55 papers), Neural Networks and Applications (19 papers), Blind Source Separation Techniques (18 papers), RNA and protein synthesis mechanisms (17 papers), Machine Learning in Bioinformatics (14 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Cancer Research (691 citations), Molecular Biology (2.2k citations), Paleontology (220 citations), Signal Processing (335 citations) and Complementary and alternative medicine (180 citations). Yanda Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuegong Zhang, Liang Xiao, Xiaowo Wang, Pu-Feng Du, Tao He, Ying Huang, Fei Li, Shao Li, Chenyang Cai and H. Vincent Poor. Their work appears in journals such as Bioinformatics, Frontiers in Physiology, Zootaxa, Cretaceous Research and Papéis Avulsos de Zoologia.
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.