Chia‐Wei Tsai

1.9k citations
90 papers · 1.4k indexed · h-index 21

Chia‐Wei Tsai

82 papers receiving 1.4k citations

Peers

Chia‐Wei Tsai
Comparison fields: 5 of 67
  • Artificial Intelligence 1.3k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Computer Science Applications 20
  • Health Informatics 3
  • Computational Theory and Mathematics 25
Replace Gui-Bin Chen with:
Gui-Bin Chen China
Ben Wu United States
Dongyang Wang China
Bikash K. Behera India
Gaofeng Luo China
Faisal Shah Khan United Arab Emirates
Dmytro Bondarenko Ukraine
Soheil Salehi United States
Chia‐Wei Tsai relative to Gui-Bin Chen China Gui-Bin Chen's profile →
Citations per field
00.5×10×20×33.5×
Gui-Bin Chen · 1×
Citations per year

Countries citing papers authored by Chia‐Wei Tsai

Since Specialization
Citations

This map shows the geographic impact of Chia‐Wei 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‐Wei 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‐Wei Tsai more than expected).

Fields of papers citing papers by Chia‐Wei Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chia‐Wei Tsai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chia‐Wei Tsai Line = papers co-authored together Chia‐Wei Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20250
5 20250
6 20244
7 20241
8 20238
9 20236
10 20235
11 20231
12 20228
13 202126
14 202121
15
Quantum Key Recycling with optimal key recycling rate based on a noise level
20201
16 20203
17 202014
18 201920
19 20167
20
The study of active submarine volcanoes and hydrothermal vents in the Southernmost Part of Okinawa Trough
20046

About Chia‐Wei Tsai

Chia‐Wei Tsai is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Science Applications, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (71 papers), Quantum Mechanics and Applications (66 papers), Quantum Computing Algorithms and Architecture (66 papers), Quantum optics and atomic interactions (7 papers), Photonic and Optical Devices (3 papers), Semiconductor Lasers and Optical Devices (3 papers), Smart Grid Energy Management (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Computer Science Applications (20 citations). Chia‐Wei Tsai has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Tzonelih Hwang, Chun‐Wei Yang, Tzonelih Hwang, Jason Lin, Yao‐Jen Chang, Narn-Yih Lee, Yao‐Chung Chang, Ying-Hsun Lai, Jun Gu and Linlin Liu. Their work appears in journals such as Quantum Information Processing, Frontiers in Psychology, EPJ Quantum Technology, Annalen der Physik and Science China Physics Mechanics and Astronomy.

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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