Qianli Ma

5.0k total citations · 2 hit papers
101 papers, 3.2k citations indexed

About

Qianli Ma is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qianli Ma has authored 101 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 37 papers in Signal Processing and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qianli Ma's work include Time Series Analysis and Forecasting (31 papers), Topic Modeling (16 papers) and Anomaly Detection Techniques and Applications (14 papers). Qianli Ma is often cited by papers focused on Time Series Analysis and Forecasting (31 papers), Topic Modeling (16 papers) and Anomaly Detection Techniques and Applications (14 papers). Qianli Ma collaborates with scholars based in China, United States and Hong Kong. Qianli Ma's co-authors include Zhiwen Yu, Wenming Cao, Yifan Shi, Dong Xibin, Michael J. Black, Garrison W. Cottrell, Jinlong Yang, Lifeng Shen, Sen Li and Siyu Tang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Computing Surveys.

In The Last Decade

Qianli Ma

97 papers receiving 3.0k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey on ensemble learning

2019 1.2k citations Zhiwen Yu, Qianli Ma et al. profile →
Learning to Dress 3D People in Generative Clothing

2020 205 citations Qianli Ma, Jinlong Yang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qianli Ma China	26	1.4k	757	496	482	370	101	3.2k
Xiaonan Luo China	33	1.1k 0.8×	2.0k 2.7×	372 0.8×	387 0.8×	821 2.2×	344	4.5k
Xin Ning China	38	1.2k 0.9×	2.1k 2.8×	269 0.5×	266 0.6×	260 0.7×	168	4.3k
Xiao Bai China	40	1.5k 1.0×	2.9k 3.8×	168 0.3×	363 0.8×	310 0.8×	161	4.9k
Nojun Kwak South Korea	29	1.9k 1.4×	2.3k 3.0×	522 1.1×	367 0.8×	233 0.6×	151	4.4k
Xudong Mao China	13	1.1k 0.8×	2.5k 3.3×	398 0.8×	158 0.3×	135 0.4×	38	3.9k
Antonia Creswell United Kingdom	6	988 0.7×	1.1k 1.5×	242 0.5×	85 0.2×	223 0.6×	6	3.0k
Vinod Kumar India	39	911 0.7×	1.2k 1.6×	253 0.5×	175 0.4×	350 0.9×	235	4.5k
Qiguang Miao China	40	1.3k 1.0×	2.4k 3.2×	224 0.5×	283 0.6×	263 0.7×	246	5.8k
Ying Shan China	37	907 0.7×	4.0k 5.3×	305 0.6×	424 0.9×	133 0.4×	232	5.7k
Chi‐Man Vong Macao	35	1.7k 1.3×	1.0k 1.4×	90 0.2×	461 1.0×	735 2.0×	178	4.3k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lin, Ting-En, et al.. (2024). Improving Factual Consistency of News Summarization by Contrastive Preference Optimization. 11084–11100. 3 indexed citations

2.

Liu, Zhen, et al.. (2024). Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14079–14087. 11 indexed citations

3.

Ma, Qianli, et al.. (2024). Learning consensus representations in multi-latent spaces for multi-view clustering. Neurocomputing. 596. 127899–127899. 1 indexed citations

4.

Zheng, Junhao, et al.. (2024). Incremental Sequence Labeling: A Tale of Two Shifts. 777–791. 1 indexed citations

5.

Zhao, Yuming, et al.. (2023). Electrical Power Edge-End Interaction Modeling with Time Series Label Noise Learning. Electronics. 12(18). 3987–3987. 1 indexed citations

6.

Ma, Qianli, et al.. (2023). MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1171–1183. 24 indexed citations

7.

Liu, Zhen, et al.. (2023). CTW: Confident Time-Warping for Time-Series Label-Noise Learning. 4046–4054. 4 indexed citations

8.

Chen, Chuxin, et al.. (2022). Modularized Mutuality Network for Emotion-Cause Pair Extraction. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 539–549. 4 indexed citations

9.

Ma, Qianli, et al.. (2021). A Span-based Dynamic Local Attention Model for Sequential Sentence Classification. 198–203. 2 indexed citations

10.

Saito, Shunsuke, Jinlong Yang, Qianli Ma, & Michael J. Black. (2021). SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks. 2885–2896. 133 indexed citations

11.

Zhang, Siwei, et al.. (2020). Generating Person-Scene Interactions in 3D Scenes.. arXiv (Cornell University). 2 indexed citations

12.

Ma, Qianli, Siyu Tang, Sergi Pujades, et al.. (2019). Dressing 3D Humans using a Conditional Mesh-VAE-GAN.. arXiv (Cornell University). 6 indexed citations

13.

Ma, Qianli, Jiawei Zheng, Sen Li, & Garrison W. Cottrell. (2019). Learning Representations for Time Series Clustering. Neural Information Processing Systems. 32. 3776–3786. 57 indexed citations

14.

Ma, Qianli, Sen Li, Lifeng Shen, et al.. (2019). End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. IEEE Transactions on Cybernetics. 50(12). 4908–4920. 55 indexed citations

15.

Shen, Lifeng, Qianli Ma, & Sen Li. (2018). End-to-End Time Series Imputation via Residual Short Paths. Asian Conference on Machine Learning. 248–263. 10 indexed citations

16.

Cui, Chao, et al.. (2013). Coupling analysis of multivariate bioelectricity signal based symbolic partial mutual information. Acta Physica Sinica. 62(6). 68704–68704. 3 indexed citations

17.

Ma, Qianli, et al.. (2012). A Keyword Based Prototype for Web Search Result Diversification. Journal of information science and engineering. 28(3). 601–615. 1 indexed citations

18.

Ma, Qianli. (2011). Signal Filtering EEG Data in Matlab Simulation Design Analysis. Journal of Nanjing University of Posts and Telecommunications. 1 indexed citations

19.

Ma, Qianli. (2010). Automatic detection of positioning line in contactless overhead contact system. Journal of Computer Applications. 1 indexed citations

20.

Ma, Qianli. (2009). Target Distance Computing Based on Parallel Binocular Stereo Vision. 1 indexed citations

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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