Lintao Ma

1.3k total citations · 1 hit paper
18 papers, 572 citations indexed

About

Lintao Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Lintao Ma has authored 18 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Lintao Ma's work include Time Series Analysis and Forecasting (3 papers), Face and Expression Recognition (3 papers) and Data Stream Mining Techniques (2 papers). Lintao Ma is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Face and Expression Recognition (3 papers) and Data Stream Mining Techniques (2 papers). Lintao Ma collaborates with scholars based in China, Australia and United States. Lintao Ma's co-authors include Shengguo Hu, Ying He, Yanfeng Liang, Jin Wang, Xujian Chen, De‐Li Chen, Zhengquan Li, Xiangqian Ding, Tao Wang and Weiwei Xie and has published in prestigious journals such as ACS Nano, Mathematics and Computers in Simulation and TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES.

In The Last Decade

Lintao Ma

14 papers receiving 558 citations

Hit 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.

ZnSe Nanorods–CsSnCl₃ Perovskite Heterojunction Composite for Photocatalytic CO₂ Reduction

2022 299 citations Xujian Chen, Jin Wang et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lintao Ma China	5	263	240	229	190	49	18	572
Zhen Tan China	11	139 0.5×	60 0.3×	123 0.5×	237 1.2×	45 0.9×	56	463
Zhijie Zhang China	6	215 0.8×	120 0.5×	146 0.6×	109 0.6×	68 1.4×	17	414
Ziheng Chen China	11	115 0.4×	126 0.5×	121 0.5×	102 0.5×	30 0.6×	28	344
Yanhui Gu China	10	164 0.6×	98 0.4×	128 0.6×	109 0.6×	37 0.8×	42	407
Zhao-Qian Chen China	12	162 0.6×	110 0.5×	83 0.4×	191 1.0×	35 0.7×	21	494
Mehran Amiri United States	12	84 0.3×	65 0.3×	228 1.0×	89 0.5×	29 0.6×	32	503
Kaiqiang Xu China	16	323 1.2×	190 0.8×	261 1.1×	104 0.5×	58 1.2×	38	662
Wenjun Li China	11	90 0.3×	115 0.5×	100 0.4×	62 0.3×	110 2.2×	46	437
Xingyan Chen China	13	95 0.4×	137 0.6×	42 0.2×	97 0.5×	47 1.0×	53	505
Hongquan Xu China	5	80 0.3×	63 0.3×	49 0.2×	83 0.4×	80 1.6×	8	319

Countries citing papers authored by Lintao Ma

Since Specialization

Citations

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

Fields of papers citing papers by Lintao Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lintao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lintao Ma. A scholar is included among the top collaborators of Lintao 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 Lintao Ma. Lintao 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:

18 of 18 papers shown

1.

Song, Zikai, et al.. (2024). Autogenic Language Embedding for Coherent Point Tracking. 2021–2030.

2.

Zhou, Fan, Pan Chen, Lintao Ma, et al.. (2024). GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9414–9421.

3.

Wang, Shiyu, et al.. (2023). Full Scaling Automation for Sustainable Development of Green Data Centers. 6264–6271. 2 indexed citations

4.

Zhou, Fan, Pan Chen, Lintao Ma, et al.. (2023). SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11417–11425. 4 indexed citations

5.

Chen, Xujian, et al.. (2022). ZnSe Nanorods–CsSnCl₃ Perovskite Heterojunction Composite for Photocatalytic CO₂ Reduction. ACS Nano. 16(2). 3332–3340. 299 indexed citations breakdown →

6.

Ma, Lintao, et al.. (2022). Memory Augmented State Space Model for Time Series Forecasting. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3451–3457. 1 indexed citations

7.

Qu, Chao, Xiaoming Shi, Xiaoyu Tan, et al.. (2022). A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4290–4299. 19 indexed citations

8.

Shi, Xiaoming, et al.. (2021). A Graph Regularized Point Process Model For Event Propagation Sequence. arXiv (Cornell University). 1–7. 2 indexed citations

9.

Wang, Shijun, Baocheng Zhu, Lintao Ma, & Qi Yuan. (2019). A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. arXiv (Cornell University). 3. 1–8.

10.

Gao, Caroline X., Yu Kuang, Lintao Ma, Yanli Lu, & Qingmin Wu. (2015). The relationships between Brucella melitensis predilection sites, bacterial loads in vivo, and the agglutinating antibody response in experimentally infected sheep. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 39. 271–278. 1 indexed citations

11.

Ding, Xiangqian, et al.. (2009). An Unsupervised Feature Selection Algorithm: Laplacian Score Combined with Distance-Based Entropy Measure. 65–68. 34 indexed citations

12.

Hu, Shengguo, Yanfeng Liang, Lintao Ma, & Ying He. (2009). MSMOTE: Improving Classification Performance When Training Data is Imbalanced. 13–17. 178 indexed citations

13.

Ma, Lintao, et al.. (2008). A Hybrid Feature Selection Algorithm: Combination of Symmetrical Uncertainty and Genetic Algorithms. 22 indexed citations

14.

Ma, Lintao, et al.. (2007). Intelligent techniques for cigarette formula design. Mathematics and Computers in Simulation. 77(5-6). 476–486. 4 indexed citations

15.

Ma, Lintao, et al.. (2006). Intelligent technology for Correlation Analysis of Tar in Tobacco. 91. 1537–1542. 1 indexed citations

16.

Ma, Lintao, et al.. (2006). Genetic algorithm for optimization of tobacco-group formulas design. 1532–1536. 1 indexed citations

17.

Ding, Xiangqian, et al.. (2006). Genetic algorithm for optimization of tobacco-group formulas design. 80. 1532–1536. 3 indexed citations

18.

Ma, Lintao, et al.. (2006). Intelligent technology for Correlation Analysis of Tar in Tobacco. 1537–1542. 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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