Benlin Liu

903 citations
14 papers · 356 · h-index 10

Impact in

Papers in

Benlin Liu

14 papers receiving 345 citations

Peers

Benlin Liu
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 122
  • Building and Construction 70
  • Civil and Structural Engineering 111
  • Computer Graphics and Computer-Aided Design 14
  • Catalysis 22
Replace Judith E. Terrill with:
Judith E. Terrill United States
Zhuoyang Zhang China
Belén Ferrer Spain
Michele Godio Sweden
Biao Hu China
Krzysztof Malowany Poland
Ruiqi Guo China
Jiajun Tang China
Benlin Liu relative to Judith E. Terrill United States Judith E. Terrill's profile →
Citations per field
00.5×8.3×
Judith E. Terrill · 1×
Citations per year

Countries citing papers authored by Benlin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Benlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202379
2 201956
3 201937
4 201836
5 202335
6 202131
7 200020
8 202118
9 200116
10 201813
11 20049
12 20183
13 20212
14 20111

About Benlin Liu

Benlin Liu is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering and Civil and Structural Engineering, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Catalytic Processes in Materials Science (3 papers), Magnesium Oxide Properties and Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Catalysis and Oxidation Reactions (2 papers), Concrete and Cement Materials Research (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multiferroics and related materials (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Building and Construction (70 citations), Civil and Structural Engineering (111 citations), Computer Graphics and Computer-Aided Design (14 citations) and Catalysis (22 citations). Benlin Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Li, Linglei Zhang, Jie Zhou, Yongsheng Ji, Yongming Rao, Jiwen Lu, Zuyan Liu, Wenliang Zhao, Guodong Huang and Xiangyu Liu. Their work appears in journals such as Construction and Building Materials, The Canadian Journal of Chemical Engineering, Structural Concrete, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Modern Transportation.

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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