Chia-En Tsai

402 total citations
10 papers, 205 citations indexed

About

Chia-En Tsai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chia-En Tsai has authored 10 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chia-En Tsai's work include Virtual Reality Applications and Impacts (3 papers), COVID-19 diagnosis using AI (3 papers) and Digital Imaging for Blood Diseases (2 papers). Chia-En Tsai is often cited by papers focused on Virtual Reality Applications and Impacts (3 papers), COVID-19 diagnosis using AI (3 papers) and Digital Imaging for Blood Diseases (2 papers). Chia-En Tsai collaborates with scholars based in Taiwan, Japan and United Kingdom. Chia-En Tsai's co-authors include Cheng-Fa Tsai, Liwei Chan, Pensée Wu, Cheng-Fa Tsai, Roshan Lalintha Peiris, Hsin-Yu Chen, Ching-Hu Lu, Chenglin Yang, Yu-Chieh Chen and Eric Hsueh-Chan Lu and has published in prestigious journals such as IEEE Systems Journal, Diagnostics and Mathematics.

In The Last Decade

Chia-En Tsai

10 papers receiving 203 citations

Peers

Chia-En Tsai

CVPR

HI

CN

RNMI

AI

Abu Sayeed Bangladesh

Marc Lalonde Canada

Abduljalil Radman Malaysia

Mariusz Rybnik Poland

Qin Cai United States

Vaishali Kulkarni India

Ricardo Santos Portugal

Azmain Yakin Srizon Bangladesh

Marek Tabędzki Poland

B Natarajan India

Abu Sayeed Bangladesh

Chia-En Tsai

114 ×1.3

CVPR

75 ×1.1

HI

20 ×0.5

CN

63 ×1.7

RNMI

57 ×1.5

AI

Citations per year, relative to Chia-En Tsai Chia-En Tsai (= 1×) peers Abu Sayeed

Countries citing papers authored by Chia-En Tsai

Since Specialization

Citations

This map shows the geographic impact of Chia-En 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-En 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-En Tsai more than expected).

Fields of papers citing papers by Chia-En Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

10 of 10 papers shown

1.

Tsai, Cheng-Fa, et al.. (2020). Analyzing Lung Disease Using Highly Effective Deep Learning Techniques. Healthcare. 8(2). 107–107. 30 indexed citations

2.

Tsai, Chia-En, et al.. (2020). Slice of Light: Transparent and Integrative Transition Among Realities in a Multi-HMD-User Environment. 805–817. 26 indexed citations

3.

Tsai, Cheng-Fa, et al.. (2020). Analyzing Malaria Disease Using Effective Deep Learning Approach. Diagnostics. 10(10). 744–744. 50 indexed citations

4.

Tsai, Chia-En, et al.. (2020). CTI ANT: Hunting for Chinese Threat Intelligence. 1847–1852. 2 indexed citations

5.

Tsai, Cheng-Fa, et al.. (2019). Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening. Mathematics. 7(12). 1170–1170. 40 indexed citations

6.

Lu, Ching-Hu & Chia-En Tsai. (2019). IoT-Enabled Cross-Field and Reconfigurable Service Provisioning With User-Centered Design. IEEE Systems Journal. 13(4). 4072–4080. 7 indexed citations

7.

Tsai, Cheng-Fa, Yu-Chieh Chen, & Chia-En Tsai. (2019). Real Life Image Recognition of Panama Disease by an Effective Deep Learning Approach. 1–5. 4 indexed citations

8.

Tsai, Chia-En, et al.. (2018). FacePush. 1–2. 2 indexed citations

9.

Tsai, Chia-En, et al.. (2018). FacePush. 927–935. 40 indexed citations

10.

Tsai, Chia-En, et al.. (1991). A new architecture of median filters with linear hardware complexity. 101–103 vol.1. 4 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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