Le Tang
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Networks and Communications
- Molecular Biology
- Computational Mechanics
- Co-authors
- Xiaoming FengGary RackliffeRuofeng TongDinesh ManochaMin TangHuamin WangTongji XieYuankai Shi
- Topics
- Immune cells in cancer (3 papers)Cancer-related molecular mechanisms research (3 papers)Cancer Cells and Metastasis (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignControl and Systems EngineeringEnergy Engineering and Power Technology
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Le Tang
15 papers receiving 343 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 192
- Control and Systems Engineering 152
- Computer Networks and Communications 37
- Molecular Biology 34
- Computational Mechanics 34
Countries citing papers authored by Le Tang
This map shows the geographic impact of Le Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Tang more than expected).
Fields of papers citing papers by Le Tang
This network shows the impact of papers produced by Le Tang. 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 Tang. The network helps show where Le Tang may publish in the future.
Co-authorship network of co-authors of Le Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Le Tang. A scholar is included among the top collaborators of Le Tang 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 Tang. Le Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 42 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | MiRNA signatures in nasopharyngeal carcinoma: molecular mechanisms and therapeutic perspectives. | 3 |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 43 | |
| 15 | 183 | |
| 16 | [Comparative studies on the amount of ginsenosides between the crown galls and Chinese medicinal materials of Panax quinquefolium]. | 4 |
| 17 | 40 |
About Le Tang
Le Tang is a scholar working on Computer Graphics and Computer-Aided Design, Complementary and alternative medicine and Pharmacology, having authored 17 papers that have together received 350 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (30 citations), Control and Systems Engineering (152 citations) and Energy Engineering and Power Technology (14 citations). Le Tang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Xiaoming Feng, Gary Rackliffe, Ruofeng Tong, Dinesh Manocha, Min Tang, Huamin Wang, Tongji Xie, Yuankai Shi, Lin Li and Xiaohong Han. Their work appears in journals such as Journal of Ethnopharmacology, Medicine and Cell Death and Disease.
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.