Le‐Le Hu
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Microbiology top 5%
- Oncology
- Spectroscopy top 10%
- Topics
- Machine Learning in Bioinformatics (28 papers)Computational Drug Discovery Methods (10 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Le‐Le Hu
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.4k
- Computational Theory and Mathematics 416
- Microbiology 142
- Oncology 71
- Spectroscopy 71
Countries citing papers authored by Le‐Le Hu
This map shows the geographic impact of Le‐Le Hu'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 Le‐Le Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le‐Le Hu more than expected).
Fields of papers citing papers by Le‐Le Hu
This network shows the impact of papers produced by Le‐Le Hu. 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 Le‐Le Hu. The network helps show where Le‐Le Hu may publish in the future.
Co-authorship network of co-authors of Le‐Le Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Le‐Le Hu. A scholar is included among the top collaborators of Le‐Le Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Le‐Le Hu. Le‐Le Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 57 | |
| 6 | 19 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 87 | |
| 10 | 29 | |
| 11 | 15 | |
| 12 | 168 | |
| 13 | 153 | |
| 14 | 115 | |
| 15 | 71 | |
| 16 | 129 | |
| 17 | 63 | |
| 18 | 24 | |
| 19 | 26 | |
| 20 | 2 |
About Le‐Le Hu
Le‐Le Hu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Microbiology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (28 papers), Computational Drug Discovery Methods (10 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Computational Theory and Mathematics (416 citations), Microbiology (142 citations) and Molecular Biology (1.4k citations). Le‐Le Hu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu‐Dong Cai, Tao Huang, Xiaohe Shi, Kuo‐Chen Chou, Kuo‐Chen Chou, Kaiyan Feng, Xiangyin Kong, Yixue Li, Zhisong He and Jian Zhang. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Biopolymers.
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.