Xiangru Huang
- Molecular Biology
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Computer Networks and Communications top 10%
- Co-authors
- Lingyong JiangAnting JinQinggang DaiHongyuan XuYiling YangCalvin LinSiru ZhouInderjit S. Dhillon
- Topics
- Bone Metabolism and Diseases (6 papers)Cytokine Signaling Pathways and Interactions (6 papers)Machine Learning and ELM (3 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiangru Huang
26 papers receiving 560 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 202
- Artificial Intelligence 129
- Computer Vision and Pattern Recognition 90
- Oncology 84
- Computer Networks and Communications 74
Countries citing papers authored by Xiangru Huang
This map shows the geographic impact of Xiangru 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 Xiangru Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangru Huang more than expected).
Fields of papers citing papers by Xiangru Huang
This network shows the impact of papers produced by Xiangru 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 Xiangru Huang. The network helps show where Xiangru Huang may publish in the future.
Co-authorship network of co-authors of Xiangru Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangru Huang. A scholar is included among the top collaborators of Xiangru 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 Xiangru Huang. Xiangru 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 | 4 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 17 | |
| 8 | 60 | |
| 9 | 4 | |
| 10 | Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs | 3 |
| 11 | 7 | |
| 12 | 48 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 84 | |
| 17 | 35 | |
| 18 | 82 | |
| 19 | 50 | |
| 20 | PD-sparse: a primal and dual sparse approach to extreme multiclass and multilabel classification | 65 |
About Xiangru Huang
Xiangru Huang is a scholar working on Geology, Immunology and Allergy and Urology, having authored 29 papers that have together received 578 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Hardware and Architecture (51 citations), Computer Graphics and Computer-Aided Design (19 citations) and Cancer Research (69 citations). Xiangru Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lingyong Jiang, Anting Jin, Qinggang Dai, Hongyuan Xu, Yiling Yang, Calvin Lin, Siru Zhou, Inderjit S. Dhillon, Pradeep Ravikumar and Ian En-Hsu Yen. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.