Tai Hu

2.6k total citations
7 papers, 17 citations indexed

About

Tai Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tai Hu has authored 7 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Tai Hu's work include Medical Image Segmentation Techniques (2 papers), Advanced Data Processing Techniques (1 paper) and Satellite Image Processing and Photogrammetry (1 paper). Tai Hu is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Advanced Data Processing Techniques (1 paper) and Satellite Image Processing and Photogrammetry (1 paper). Tai Hu collaborates with scholars based in China. Tai Hu's co-authors include Xin Meng, Gang Chen, Wanqi Yang, Xiaoyong Guo, Ming Yang, Yu‐Rong Liu, Hu Li and Pengfei Wu and has published in prestigious journals such as Sensors, International Journal of Machine Learning and Cybernetics and Chinese Journal of Space Science.

In The Last Decade

Tai Hu

3 papers receiving 14 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai Hu China 3 9 4 2 2 2 7 17
Mohana Murali Dasari India 2 12 1.3× 3 0.8× 2 1.0× 3 15
Xudong Wei China 2 11 1.2× 6 1.5× 1 0.5× 2 1.0× 3 14
Xiangxin Zhou China 4 7 0.8× 5 1.3× 2 1.0× 1 0.5× 4 22
Edwin Andrés Quintero Salazar Colombia 3 7 0.8× 3 0.8× 2 1.0× 13 21
Z. J. Xiao China 2 17 1.9× 6 1.5× 1 0.5× 1 0.5× 3 1.5× 4 26
Magauiya Zhussip South Korea 2 7 0.8× 2 0.5× 3 1.5× 3 1.5× 3 10
Y. Zhou China 2 10 1.1× 5 1.3× 2 1.0× 2 19
Hrayr Harutyunyan United States 3 5 0.6× 5 1.3× 2 1.0× 3 1.5× 7 16
Ravin Kumar India 3 11 1.2× 6 1.5× 2 1.0× 4 2.0× 8 19
Haojie Li China 3 12 1.3× 3 0.8× 2 1.0× 1 0.5× 12 22

Countries citing papers authored by Tai Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Hu. A scholar is included among the top collaborators of Tai Hu 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 Tai Hu. Tai Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Hu, Tai, et al.. (2023). Contrastive Learning with Prototype-Based Negative Mixing for Satellite Telemetry Anomaly Detection. Sensors. 23(10). 4723–4723. 2 indexed citations
2.
Li, Hu, et al.. (2021). Study on Satellite-to-ground Laser Communications with Existence of Atmosphere. Chinese Journal of Space Science. 41(3). 505–505.
3.
Li, Hu, et al.. (2020). In-orbit Operational Pattern Monitoring Algorithms Based on LightGBM for Hard X-ray Modulation Telescope Satellite. Chinese Journal of Space Science. 40(1). 109–109. 1 indexed citations
4.
Hu, Tai, et al.. (2019). Correction to: An end-to-end differential network learning method for semantic segmentation. International Journal of Machine Learning and Cybernetics. 10(7). 1925–1925.
5.
Hu, Tai, et al.. (2018). An end-to-end differential network learning method for semantic segmentation. International Journal of Machine Learning and Cybernetics. 10(7). 1909–1924. 8 indexed citations
6.
7.
Chen, Gang, Tai Hu, Xiaoyong Guo, & Xin Meng. (2009). A fast region-based image segmentation based on least square method. 1. 972–977. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mohana Murali Dasari Breakdown of academic impact, for papers by Xudong Wei Breakdown of academic impact, for papers by Xiangxin Zhou Breakdown of academic impact, for papers by Edwin Andrés Quintero Salazar Breakdown of academic impact, for papers by Z. J. Xiao Breakdown of academic impact, for papers by Magauiya Zhussip Breakdown of academic impact, for papers by Y. Zhou Breakdown of academic impact, for papers by Hrayr Harutyunyan Breakdown of academic impact, for papers by Ravin Kumar Breakdown of academic impact, for papers by Haojie Li
Rankless by CCL
2026