Mingtao Pei

1.7k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Mingtao Pei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mingtao Pei has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Mingtao Pei's work include Video Surveillance and Tracking Methods (26 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Face recognition and analysis (12 papers). Mingtao Pei is often cited by papers focused on Video Surveillance and Tracking Methods (26 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Face recognition and analysis (12 papers). Mingtao Pei collaborates with scholars based in China, United States and Australia. Mingtao Pei's co-authors include Yunde Jia, Zhen Dong, Yuwei Wu, Song‐Chun Zhu, Bin Yan, Benjamin Yao, Zhangzhang Si, Chenchen Jing, Wei Liang and Min Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Mingtao Pei

58 papers receiving 1.1k 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.

Vehicle Type Classification Using a Semisupervised Convolutional Neural Network

2015 289 citations Zhen Dong, Yuwei Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingtao Pei China	18	817	345	168	82	59	61	1.1k
Juan A. Álvarez-García Spain	16	502 0.6×	257 0.7×	150 0.9×	84 1.0×	62 1.1×	47	959
Yahia Said Saudi Arabia	18	547 0.7×	234 0.7×	131 0.8×	37 0.5×	80 1.4×	122	1.1k
Heechul Jung South Korea	14	976 1.2×	379 1.1×	94 0.6×	119 1.5×	88 1.5×	51	1.4k
Yong Zhao China	17	1.0k 1.2×	256 0.7×	352 2.1×	62 0.8×	52 0.9×	153	1.4k
Xiongwei Wu China	12	646 0.8×	291 0.8×	126 0.8×	41 0.5×	33 0.6×	23	1.3k
Dongliang Chang China	14	641 0.8×	588 1.7×	132 0.8×	35 0.4×	30 0.5×	41	1.2k
Peixi Peng China	14	770 0.9×	359 1.0×	72 0.4×	86 1.0×	45 0.8×	42	1.1k
Mohamed Lamine Mekhalfi Italy	18	450 0.6×	344 1.0×	192 1.1×	41 0.5×	21 0.4×	40	1.0k
Mamoona Naveed Asghar Ireland	17	723 0.9×	239 0.7×	80 0.5×	152 1.9×	39 0.7×	64	1.2k

Countries citing papers authored by Mingtao Pei

Since Specialization

Citations

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

Fields of papers citing papers by Mingtao Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingtao Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Mingtao Pei. A scholar is included among the top collaborators of Mingtao Pei 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 Mingtao Pei. Mingtao Pei 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.

Zhang, Rongsheng, et al.. (2025). Let storytelling tell vivid stories: A multi-modal-agent-based unified storytelling framework. Neurocomputing. 622. 129316–129316.

2.

Shen, Hongyu, et al.. (2024). Automatic Radiology Reports Generation via Memory Alignment Network. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4776–4783. 6 indexed citations

3.

Yan, Bin, et al.. (2023). Token labeling-guided multi-scale medical image classification. Pattern Recognition Letters. 178. 28–34. 1 indexed citations

4.

Wang, Hanqing, et al.. (2023). Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering. 19027–19036. 27 indexed citations

5.

Yan, Bin, et al.. (2022). Prior Guided Transformer for Accurate Radiology Reports Generation. IEEE Journal of Biomedical and Health Informatics. 26(11). 5631–5640. 28 indexed citations

6.

Gao, Qing, Mingtao Pei, & Hongyu Shen. (2022). Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1845–1849. 1 indexed citations

7.

Pei, Mingtao, et al.. (2021). Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots. International Journal of Social Robotics. 14(3). 733–745. 6 indexed citations

8.

Pei, Mingtao, et al.. (2021). Lightweight Forest Fire Detection Based on Deep Learning. 1–6. 17 indexed citations

9.

Jing, Chenchen, Yuwei Wu, Mingtao Pei, et al.. (2020). Visual-Semantic Graph Matching for Visual Grounding. 4041–4050. 26 indexed citations

10.

Yan, Bin, et al.. (2019). Attributes Preserving Face De-Identification. 1217–1221. 6 indexed citations

11.

Pei, Mingtao, et al.. (2019). Diffusion-based kernel matrix model for face liveness detection. Image and Vision Computing. 89. 88–94. 6 indexed citations

12.

Zou, Li, et al.. (2018). License Plate Detection with Shallow and Deep CNNs in Complex Environments. Complexity. 2018(1). 11 indexed citations

13.

Qi, Hui, et al.. (2016). Pose-indexed based multi-view method for face alignment. 1294–1298. 1 indexed citations

14.

Duan, Yong, et al.. (2015). A Unified Probabilistic Framework for Real-Time Depth Map Fusion. Journal of information science and engineering. 31(4). 1309–1327. 1 indexed citations

15.

Xie, Yi, et al.. (2014). Tracking Pedestrian with Incrementally Learned Representation and Classification Model. Journal of information science and engineering. 30(4). 1035–1052. 1 indexed citations

16.

Dong, Zhen, et al.. (2014). Vehicle Type Classification Using Unsupervised Convolutional Neural Network. 172–177. 63 indexed citations

17.

Pei, Mingtao, Yafei Wang, & Meng Zhao. (2013). Video events recognition by scene and group context. China Communications. 10(11). 165–171. 1 indexed citations

18.

Pei, Mingtao, et al.. (2013). Learning a discriminative mid-level feature for action recognition. Science China Information Sciences. 57(5). 1–13. 11 indexed citations

19.

Pei, Mingtao, Zhangzhang Si, Benjamin Yao, & Song‐Chun Zhu. (2012). Learning and parsing video events with goal and intent prediction. Computer Vision and Image Understanding. 117(10). 1369–1383. 23 indexed citations

20.

Pei, Mingtao, et al.. (2006). Using Pure Translation to Get Euclidean Reconstruction. Journal of Beijing Institute of Technology. 15(2). 167–171. 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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