Pin Tao

408 total citations
37 papers, 242 citations indexed

About

Pin Tao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pin Tao has authored 37 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Pin Tao's work include Video Coding and Compression Technologies (16 papers), Advanced Vision and Imaging (11 papers) and Image and Video Quality Assessment (10 papers). Pin Tao is often cited by papers focused on Video Coding and Compression Technologies (16 papers), Advanced Vision and Imaging (11 papers) and Image and Video Quality Assessment (10 papers). Pin Tao collaborates with scholars based in China, United States and Ireland. Pin Tao's co-authors include Ralph R. Martin, Jiangtao Wen, Shiqiang Yang, Rui Ma, Junliang Xing, Fei Kong, Yongqiang Chen, Hongmei Liu, Hari Kalva and Yucong Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Pin Tao

30 papers receiving 234 citations

Peers

Pin Tao
Suxia Cui United States
Hiromitsu Hama Japan
Gregorio Bernabé Spain
Yifei Xu China
Ricardo J. Barrientos Chile
P. Punitha India
Ludovic Journaux France
N Manohar India
Ashish Mishra India
Sergio Sánchez Colombia
Suxia Cui United States
Pin Tao
Citations per year, relative to Pin Tao Pin Tao (= 1×) peers Suxia Cui

Countries citing papers authored by Pin Tao

Since Specialization
Citations

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

Fields of papers citing papers by Pin Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Pin Tao. A scholar is included among the top collaborators of Pin Tao 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 Pin Tao. Pin Tao 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
1.
Li, Lulin, et al.. (2025). KDA: Knowledge Distillation Adversarial Framework With Vision Foundation Models for Landslide Segmentation. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
2.
Tao, Pin, et al.. (2024). Complex pathways to cooperation emergent from asymmetry in heterogeneous populations. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 6 indexed citations
3.
Li, Jiayu, et al.. (2024). A Parallel Attention Network For Cattle Face Recognition. 1–6. 4 indexed citations
4.
Xing, Junliang, et al.. (2024). DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal From Optical Satellite Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 29 indexed citations
5.
Liu, Yuxuan, et al.. (2024). Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3828–3836.
6.
Zhao, Enmin, et al.. (2023). Pseudo Value Network Distillation for High-Performance Exploration. 518. 1–8. 1 indexed citations
7.
Feng, Xiaopeng, L. Han, Pin Tao, & Yusheng Jiang. (2023). Attention Enhanced Multi-Scale Feature Map Fusion Few Shot Learning. 352–356.
8.
Tao, Pin, et al.. (2022). Bilateral Pose Transformer for Human Pose Estimation. 21–29. 1 indexed citations
9.
Chen, Yongqiang, et al.. (2019). Application of Intelligent Technology in Animal Husbandry and Aquaculture Industry. 335–339. 25 indexed citations
10.
Ma, Rui, et al.. (2019). Optimizing Data Augmentation for Semantic Segmentation on Small-Scale Dataset. 77–81. 21 indexed citations
11.
Wen, Jiangtao, et al.. (2013). Cross Segment Decoding for Improved Quality of Experience for Video Applications. 231–240. 1 indexed citations
12.
Tao, Pin, et al.. (2010). Low complexity H.264 video encoder design using machine learning techniques. 2. 461–462. 4 indexed citations
13.
Tao, Pin, et al.. (2010). Horizontal Spatial Prediction for High Dimension Intra Coding. 552–552. 3 indexed citations
14.
Tao, Pin, et al.. (2010). Macroblock level hybrid temporal-spatial prediction for H.264/AVC. 941–944. 2 indexed citations
15.
16.
Kong, Fei, et al.. (2006). Genetic Algorithm Based Idle Length Prediction Scheme for Dynamic Power Management. 110. 1437–1443. 5 indexed citations
17.
Tao, Pin, et al.. (2006). Genetic Algorithm Based Idle Length Prediction Scheme for Dynamic Power Management. 1437–1443. 3 indexed citations
18.
Zhang, Jiang, Бин Ли, Chunxiao Chen, Pin Tao, & Shiqiang Yang. (2006). EDKAS: A Efficient Distributed Key Agreement Scheme Using One Way Function Trees for Dynamic Collaborative Groups. 1215–1222. 5 indexed citations
19.
Tao, Pin, et al.. (2006). Computation Offloading for H.264 Video Encoder on Mobile Devices. 1426–1430. 9 indexed citations
20.
Tao, Pin, Bo Zhang, & Zhen Ye. (2003). An Incremental BiCovering Learning Algorithm for Constructive Neural Network. 6 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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