Hongyi Xu
- Electrical and Electronic Engineering top 10%
- Mechanics of Materials top 2%
- Mechanical Engineering top 5%
- Materials Chemistry top 10%
- Automotive Engineering top 2%
- Co-authors
- Wei ChenCristian SminchisescuDmitriy A. DikinCraig BurkhartYang LiAndrei ZanfirEduard Gabriel BăzăvanWilliam T. Freeman
- Topics
- Advanced Multi-Objective Optimization Algorithms (18 papers)Advancements in Battery Materials (16 papers)Probabilistic and Robust Engineering Design (15 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Hongyi Xu
93 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Electrical and Electronic Engineering 511
- Mechanics of Materials 473
- Mechanical Engineering 456
- Materials Chemistry 376
- Automotive Engineering 362
Countries citing papers authored by Hongyi Xu
This map shows the geographic impact of Hongyi Xu'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 Hongyi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyi Xu more than expected).
Fields of papers citing papers by Hongyi Xu
This network shows the impact of papers produced by Hongyi Xu. 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 Hongyi Xu. The network helps show where Hongyi Xu may publish in the future.
Co-authorship network of co-authors of Hongyi Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyi Xu. A scholar is included among the top collaborators of Hongyi Xu 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 Hongyi Xu. Hongyi Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 88 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 0 | |
| 15 | 48 | |
| 16 | 100 | |
| 17 | H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion | 1 |
| 18 | 39 | |
| 19 | 14 | |
| 20 | 32 |
About Hongyi Xu
Hongyi Xu is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Automotive Engineering, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (18 papers), Advancements in Battery Materials (16 papers) and Probabilistic and Robust Engineering Design (15 papers). The work is most often cited by research in Automotive Engineering (362 citations), Statistics, Probability and Uncertainty (156 citations) and Mechanics of Materials (473 citations). Hongyi Xu has collaborated with scholars based in United States, China and France. Frequent co-authors include Wei Chen, Cristian Sminchisescu, Dmitriy A. Dikin, Craig Burkhart, Wei Chen, Yang Li, Andrei Zanfir, Eduard Gabriel Băzăvan, William T. Freeman and Rahul Sukthankar. Their work appears in journals such as ACS Nano, Energy & Environmental Science and Advanced Functional Materials.
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.