Lingxiao Huang
- Molecular Biology
- Artificial Intelligence top 10%
- Biomedical Engineering
- Geology top 5%
- Safety Research top 5%
- Co-authors
- Nisheeth K. VishnoiL. Elisa CelisJinfeng LiaoVijay KeswaniVivian VimarlundWeixing WangWeisen ZhaoBowen Tan
- Topics
- Cancer Cells and Metastasis (4 papers)Complexity and Algorithms in Graphs (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
- Journals
- IEEE Transactions on Information TheoryAntioxidants and Redox SignalingThe Journal of Pathology
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lingxiao Huang
39 papers receiving 769 citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 145
- Artificial Intelligence 140
- Biomedical Engineering 129
- Geology 85
- Safety Research 82
Countries citing papers authored by Lingxiao Huang
This map shows the geographic impact of Lingxiao Huang'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 Lingxiao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxiao Huang more than expected).
Fields of papers citing papers by Lingxiao Huang
This network shows the impact of papers produced by Lingxiao Huang. 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 Lingxiao Huang. The network helps show where Lingxiao Huang may publish in the future.
Co-authorship network of co-authors of Lingxiao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Lingxiao Huang. A scholar is included among the top collaborators of Lingxiao Huang 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 Lingxiao Huang. Lingxiao Huang 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 38 | |
| 14 | 2 | |
| 15 | Coresets for Clustering with Fairness Constraints | 1 |
| 16 | 2 | |
| 17 | 49 | |
| 18 | K-means clustering with distributed dimensions | 8 |
| 19 | 15 | |
| 20 | 49 |
About Lingxiao Huang
Lingxiao Huang is a scholar working on Space and Planetary Science, Computer Graphics and Computer-Aided Design and Organizational Behavior and Human Resource Management, having authored 45 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Complexity and Algorithms in Graphs (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Geology (85 citations), Safety Research (82 citations) and Health Informatics (9 citations). Lingxiao Huang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Nisheeth K. Vishnoi, L. Elisa Celis, Jinfeng Liao, Vijay Keswani, Vivian Vimarlund, Weixing Wang, Weisen Zhao, Bowen Tan, Yongzhi Wu and Quan Tang. Their work appears in journals such as IEEE Transactions on Information Theory, Antioxidants and Redox Signaling and The Journal of Pathology.
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.