Ruoshi Liu

2.2k citations
54 papers · 1.2k · 1 hit paper · h-index 18

Impact in

Papers in

Ruoshi Liu

53 papers receiving 1.2k citations

Ruoshi Liu's Hit Papers

Zero-1-to-3: Zero-shot One Image to 3D Object 2023 · 359 citations
3590+1+2Years since publication100200300

Peers

Ruoshi Liu
Comparison fields: 5 of 117
  • Computer Graphics and Computer-Aided Design 169
  • Atmospheric Science 342
  • Global and Planetary Change 338
  • Nutrition and Dietetics 200
  • Computer Vision and Pattern Recognition 263
Replace Marc Jaeger with:
Marc Jaeger France
Carlo Gatta Spain
G. Montero Spain
Claudio Delrieux Argentina
Qiu Shen China
Γεώργιος Παπαϊωάννου Greece
Yuan Yao China
Jean‐Pierre da Costa France
Ruoshi Liu relative to Marc Jaeger France Marc Jaeger's profile →
Citations per field
00.5×10×15×22.2×
Marc Jaeger · 1×
Citations per year

Countries citing papers authored by Ruoshi Liu

Since Specialization
Citations

This map shows the geographic impact of Ruoshi Liu'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 Ruoshi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoshi Liu more than expected).

Fields of papers citing papers by Ruoshi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruoshi Liu. 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 Ruoshi Liu. The network helps show where Ruoshi Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruoshi Liu, 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 Ruoshi Liu Line = papers co-authored together Ruoshi Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Zero-1-to-3: Zero-shot One Image to 3D Object
Hit paper breakdown →
2023359
2 2012104
3 201174
4 201856
5 201942
6 201837
7 202135
8 202232
9 201732
10 201931
11 202026
12 202422
13 202020
14 201820
15 201919
16 202019
17 201619
18 201818
19 201817
20 202215

About Ruoshi Liu

Ruoshi Liu is a scholar working on Atmospheric Science, Global and Planetary Change, Computer Vision and Pattern Recognition, Food Science and Computational Mechanics, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tree-ring climate responses (31 papers), Plant Water Relations and Carbon Dynamics (26 papers), Climate variability and models (17 papers), Geology and Paleoclimatology Research (9 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (4 papers), Food composition and properties (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (169 citations), Atmospheric Science (342 citations), Global and Planetary Change (338 citations), Nutrition and Dietetics (200 citations) and Computer Vision and Pattern Recognition (263 citations). Ruoshi Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Carl Vondrick, Pavel Tokmakov, Rundi Wu, Basile Van Hoorick, Sergey Zakharov, Yu Liu, Changfeng Sun, Huiming Song, Weining Huang and Qiang Li. Their work appears in journals such as The Science of The Total Environment, Climate Dynamics, International Journal of Climatology, Journal of Cereal Science and Frontiers in Neurology.

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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