Huaping Liu

12.3k citations
450 papers · 7.9k indexed · 4 hit papers · h-index 44

Impact in

Papers in

Huaping Liu

421 papers receiving 7.6k citations

Hit Papers

GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting 2024 · 49 citations
492016202620192022100200300

Peers

Huaping Liu
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 2.9k
  • Human-Computer Interaction 589
  • Control and Systems Engineering 2.2k
  • Media Technology 561
  • Artificial Intelligence 1.7k
Replace Ashutosh Saxena with:
Ashutosh Saxena United States
Fuchun Sun China
Emil M. Petriu Canada
Růžena Bajcsy United States
Katsushi Ikeuchi Japan
Max Q.‐H. Meng Hong Kong
Marcelo H. Ang Singapore
Yunhui Liu Hong Kong
James M. Rehg United States
Danica Kragić Sweden
Huaping Liu relative to Ashutosh Saxena United States Ashutosh Saxena's profile →
Citations per field
00.5×6.4×
Ashutosh Saxena · 1×
Citations per year

Countries citing papers authored by Huaping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Huaping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20243
4 20241
5 20241
6 20245
7 20245
8 202315
9 202316
10 202266
11 202238
12
Unsupervised Representation Learning by Invariance Propagation
20204
13 202020
14 201924
15 201967
16 20185
17 20182
18 20173
19 20134
20
Suboptimal model predictive control for nonlinear system on tracking problem
20091

About Huaping Liu

Huaping Liu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Human-Computer Interaction and Aerospace Engineering, having authored 450 papers that have together received 7.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (44 papers), Advanced Image and Video Retrieval Techniques (40 papers), Video Surveillance and Tracking Methods (39 papers), Tactile and Sensory Interactions (37 papers), Advanced Neural Network Applications (33 papers), Domain Adaptation and Few-Shot Learning (33 papers), Stability and Control of Uncertain Systems (32 papers) and Machine Learning and ELM (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Human-Computer Interaction (589 citations), Control and Systems Engineering (2.2k citations), Media Technology (561 citations) and Artificial Intelligence (1.7k citations). Huaping Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fuchun Sun, Di Guo, Bin Fang, Feng Wang, Yuanlong Yu, Jason Gu, Xinyu Zhang, Yuan Yuan, Daniel W. C. Ho and Meng Gao. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Neural Networks and Learning Systems and IEEE Robotics and Automation Letters.

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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