Chia-Ming Tsai

491 total citations
16 papers, 365 citations indexed

About

Chia-Ming Tsai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Chia-Ming Tsai has authored 16 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Chia-Ming Tsai's work include Advanced Image and Video Retrieval Techniques (7 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Vision and Imaging (4 papers). Chia-Ming Tsai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Vision and Imaging (4 papers). Chia-Ming Tsai collaborates with scholars based in Taiwan, Singapore and Japan. Chia-Ming Tsai's co-authors include Chia‐Wen Lin, Weisi Lin, Zhenzhong Chen, Yuming Fang, Li‐Wei Kang, Jau‐Woei Perng, Yi-Horng Lai, Junying Li, Qiangfu Zhao and Po‐Chun Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Chia-Ming Tsai

16 papers receiving 352 citations

Peers

Countries citing papers authored by Chia-Ming Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Ming Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ming Tsai. 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 Chia-Ming Tsai. The network helps show where Chia-Ming Tsai may publish in the future.

Co-authorship network of co-authors of Chia-Ming Tsai

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Multisensor Fusion Time–Frequency Analysis of Thruster Blade Fault Diagnosis Based on Deep Learning 2022 ·IEEE Sensors Journal ·Chia-Ming Tsai, (unknown), (unknown), (unknown), Jau‐Woei Perng	20
2	Multi-Sensor Fault Diagnosis of Underwater Thruster Propeller Based on Deep Learning 2021 ·Sensors ·Chia-Ming Tsai, (unknown), (unknown), (unknown), Jau‐Woei Perng	21
3	Multi-Dimensional Underwater Point Cloud Detection Based on Deep Learning 2021 ·Sensors ·Chia-Ming Tsai, Yi-Horng Lai, (unknown), (unknown), Jau‐Woei Perng	9
4	Design and Application of an Autonomous Surface Vehicle with an AI-Based Sensing Capability 2019 ·Chia-Ming Tsai, Yi-Horng Lai, Jau‐Woei Perng, (unknown), (unknown)	12
5	Resident activity recognition based on binary infrared sensors and soft computing 2017 ·International Journal of Machine Learning and Cybernetics ·Qiangfu Zhao, Chia-Ming Tsai, Rung-Ching Chen, Chung-Yi Huang	4
6	Learning-based movie summarization via role-community analysis and feature fusion 2015 ·Junying Li, Li‐Wei Kang, Chia-Ming Tsai, Chia‐Wen Lin	6
7	Activity awareness based on simple sensors 2014 ·Chia-Ming Tsai, Qiangfu Zhao, Rung-Ching Chen, (unknown)	1
8	Low-overhead content-adaptive spatial scalability for scalable video coding 2013 ·Chia‐Wen Lin, Chia-Ming Tsai, Po‐Chun Chen, Li-Wei Kang	1
9	A Video Saliency Detection Model in Compressed Domain 2013 ·IEEE Transactions on Circuits and Systems for Video Technology ·Yuming Fang, Weisi Lin, Zhenzhong Chen, Chia-Ming Tsai, Chia‐Wen Lin	178
10	Scene-Based Movie Summarization Via Role-Community Networks 2013 ·IEEE Transactions on Circuits and Systems for Video Technology ·Chia-Ming Tsai, Li‐Wei Kang, Chia‐Wen Lin, Weisi Lin	55
11	Low-Overhead Content-Adaptive Spatial Scalability for Scalable Video Coding 2013 ·IEEE Journal of Selected Topics in Signal Processing ·Chia‐Wen Lin, Chia-Ming Tsai, Po‐Chun Chen	2
12	Video saliency detection in the compressed domain 2012 ·Yuming Fang, Weisi Lin, Zhenzhong Chen, Chia-Ming Tsai, Chia‐Wen Lin	12
13	Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling 2011 ·IEEE Transactions on Image Processing ·(unknown), Chia-Ming Tsai, Chia‐Wen Lin	37
14	Mosaic-guided video retargeting for video adaptation 2011 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Chia-Ming Tsai, (unknown), Chia‐Wen Lin	2
15	Image retargeting based on the sensitivity-tuned visual significance map 2011 ·Yuming Fang, Zhenzhong Chen, Weisi Lin, Chia‐Wen Lin, Chia-Ming Tsai	2
16	A comparative study on attention-based rate adaptation for scalable video coding 2009 ·Chia-Ming Tsai, Chia‐Wen Lin, Weisi Lin, Wen-Hsiao Peng	3

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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