Hongyi Xu

2.9k citations
101 papers · 2.1k indexed · 1 hit paper · h-index 25

Hongyi Xu

93 papers receiving 2.0k citations

Hit Papers

GHUM & GHUML: Generative 3D Human Shape and Articulated P...191202020262022202450100150

Peers

Hongyi Xu
Comparison fields: 5 of 120
  • Automotive Engineering 362
  • Statistics, Probability and Uncertainty 156
  • Mechanics of Materials 473
  • Computer Graphics and Computer-Aided Design 63
  • Computer Vision and Pattern Recognition 276
Replace Zeliang Liu with:
Zeliang Liu China
Xiaopeng Zhang China
Johann Sienz United Kingdom
Stefan Hartmann Germany
Baotong Li China
Andreï Constantinescu France
Siddhant Kumar Netherlands
Jiong Tang United States
Stefan Kollmannsberger Germany
Guangyao Li China
Hongyi Xu relative to Zeliang Liu China Zeliang Liu's profile →
Citations per field
00.5×5.3×
Zeliang Liu · 1×
Citations per year

Countries citing papers authored by Hongyi Xu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Hongyi Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hongyi Xu Line = papers co-authored together Hongyi Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20251
5 20255
6 20242
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8 20249
9 20241
10 202388
11 202318
12 20236
13 20237
14 20210
15 202148
16 2021100
17
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
20211
18 202039
19 202014
20 201932

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), Probabilistic and Robust Engineering Design (15 papers), Composite Material Mechanics (12 papers), Advanced Battery Materials and Technologies (12 papers), Machine Learning in Materials Science (11 papers), Topology Optimization in Engineering (10 papers) and Advanced Battery Technologies Research (9 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.

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