Qianli Ma

97 papers receiving 3.0k citations

Hit Papers

A survey on ensemble learning2019202620212023201920204008001.2k

Peers

Qianli Ma
Comparison fields: 5 of 174
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 757
  • Signal Processing 496
  • Computational Mechanics 482
  • Electrical and Electronic Engineering 370
Replace Xiaonan Luo with:
Xiaonan Luo China
Xin Ning China
Vinod Kumar India
Xudong Mao China
Xiao Bai China
Qiguang Miao China
Xin Yu China
Antonia Creswell United Kingdom
Klaus Greff United States
Nojun Kwak South Korea
Qianli Ma relative to Xiaonan Luo China Xiaonan Luo's profile →
Citations per field
00.5×1.5×2.3×
Xiaonan Luo · 1×
Citations per year

Countries citing papers authored by Qianli Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qianli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianli Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Qianli Ma. A scholar is included among the top collaborators of Qianli Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qianli Ma. Qianli Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 3
4 1
5 1
6 24
7 4
8 2
9 0
10 4
11 2
12
Generating Person-Scene Interactions in 3D Scenes.
2
13 19
14
Learning Representations for Time Series Clustering
57
15
Dressing 3D Humans using a Conditional Mesh-VAE-GAN.
6
16
End-to-End Time Series Imputation via Residual Short Paths
10
17 1
18
Signal Filtering EEG Data in Matlab Simulation Design Analysis
1
19
Automatic detection of positioning line in contactless overhead contact system
1
20
Target Distance Computing Based on Parallel Binocular Stereo Vision
1

About Qianli Ma

Qianli Ma is a scholar working on Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 101 papers that have together received 3.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (31 papers), Topic Modeling (16 papers) and Anomaly Detection Techniques and Applications (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (249 citations), Signal Processing (496 citations) and Artificial Intelligence (1.4k citations). Qianli Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiwen Yu, Yifan Shi, Wenming Cao, Dong Xibin, Michael J. Black, Garrison W. Cottrell, Jinlong Yang, Lifeng Shen, Siyu Tang and Sen Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Computing Surveys.

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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