Liu Ren

2.1k citations
58 papers · 1.3k · h-index 20

Impact in

Papers in

    • Data Visualization and Analytics 10
    • Advanced Neural Network Applications 7
    • Advanced Vision and Imaging 6
    • Video Surveillance and Tracking Methods 5
    • Advanced Computational Techniques and Applications 6
    • Anomaly Detection Techniques and Applications 6
    • Domain Adaptation and Few-Shot Learning 5

Liu Ren

48 papers receiving 1.2k citations

Peers

Liu Ren
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 896
  • Computer Graphics and Computer-Aided Design 151
  • Signal Processing 153
  • Artificial Intelligence 395
  • Computational Mathematics 6
Replace Jiazhi Xia with:
Jiazhi Xia China
Arun Mallya United States
Piyush Kumar United States
Danhang Tang United States
Zan Gao China
Dhruv Mahajan United States
Carl Vondrick United States
Baoyuan Wu China
Yuandong Tian United States
Renjie Liao Canada
Liu Ren relative to Jiazhi Xia China Jiazhi Xia's profile →
Citations per field
00.5×
Jiazhi Xia · 1×
Citations per year

Countries citing papers authored by Liu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Liu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002120
2 2017113
3 201698
4 200593
5 201882
6 201877
7 201774
8 201949
9 202248
10 202046
11 201940
12 201736
13 202035
14 202133
15 202132
16 200525
17 202325
18 202224
19 201623
20 201621

About Liu Ren

Liu Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Information Systems, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Advanced Neural Network Applications (7 papers), Advanced Computational Techniques and Applications (6 papers), Advanced Vision and Imaging (6 papers), Anomaly Detection Techniques and Applications (6 papers), Data Management and Algorithms (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (896 citations), Computer Graphics and Computer-Aided Design (151 citations), Signal Processing (153 citations), Artificial Intelligence (395 citations) and Computational Mathematics (6 citations). Liu Ren has collaborated with scholars based in United States, India and China. Frequent co-authors include Panpan Xu, Hanspeter Pfister, Matthias Zwicker, Bilal Alsallakh, Liang Gou, Jessica K. Hodgins, Dongyu Liu, Honghui Mei, Wei Chen and Mao Ye. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computer Graphics Forum, International Journal of Computer Vision and Journal of Visualization.

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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