Yong Siah Teo

962 total citations
46 papers, 506 citations indexed

About

Yong Siah Teo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Yong Siah Teo has authored 46 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 28 papers in Atomic and Molecular Physics, and Optics and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Yong Siah Teo's work include Quantum Information and Cryptography (42 papers), Quantum Mechanics and Applications (22 papers) and Quantum Computing Algorithms and Architecture (16 papers). Yong Siah Teo is often cited by papers focused on Quantum Information and Cryptography (42 papers), Quantum Mechanics and Applications (22 papers) and Quantum Computing Algorithms and Architecture (16 papers). Yong Siah Teo collaborates with scholars based in South Korea, Czechia and Germany. Yong Siah Teo's co-authors include Hyunseok Jeong, J. Řeháček, Z. Hradil, Berthold‐Georg Englert, Huangjun Zhu, L. L. Sánchez-Soto, Gerd Leuchs, Seung-Woo Lee, B. Stoklasa and Dae‐Ro Ahn and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yong Siah Teo

44 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Siah Teo South Korea 15 453 333 63 48 29 46 506
Olivier Landon-Cardinal Canada 8 655 1.4× 555 1.7× 54 0.9× 40 0.8× 43 1.5× 15 748
Amir Kalev United States 16 449 1.0× 384 1.2× 60 1.0× 46 1.0× 23 0.8× 36 542
Carlos A. Riofrío Germany 11 339 0.7× 290 0.9× 41 0.7× 67 1.4× 18 0.6× 17 412
Zhibo Hou China 19 873 1.9× 805 2.4× 89 1.4× 21 0.4× 31 1.1× 43 949
Ingo Roth Germany 11 496 1.1× 411 1.2× 57 0.9× 48 1.0× 55 1.9× 25 621
Akio Fujiwara Japan 14 857 1.9× 790 2.4× 94 1.5× 13 0.3× 24 0.8× 44 955
Bo Qi China 12 400 0.9× 367 1.1× 70 1.1× 22 0.5× 27 0.9× 35 496
Esteban S. Gómez Chile 14 496 1.1× 473 1.4× 27 0.4× 9 0.2× 102 3.5× 37 595
Francesco Albarelli Italy 12 541 1.2× 530 1.6× 70 1.1× 6 0.1× 38 1.3× 29 656
Mădălin Guţǎ United Kingdom 16 1.0k 2.2× 1.1k 3.2× 271 4.3× 26 0.5× 32 1.1× 41 1.3k

Countries citing papers authored by Yong Siah Teo

Since Specialization
Citations

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

Fields of papers citing papers by Yong Siah Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Siah Teo. 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 Yong Siah Teo. The network helps show where Yong Siah Teo may publish in the future.

Co-authorship network of co-authors of Yong Siah Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Siah Teo. A scholar is included among the top collaborators of Yong Siah Teo 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 Yong Siah Teo. Yong Siah Teo 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.
Teo, Yong Siah, Hyunseok Jeong, Benjamin Brecht, et al.. (2024). Evidence-Based Certification of Quantum Dimensions. Physical Review Letters. 133(5). 50204–50204. 2 indexed citations
2.
Teo, Yong Siah, Hyunseok Jeong, Benjamin Brecht, et al.. (2024). Relative-belief inference in quantum information theory. Physical review. A. 110(1). 1 indexed citations
3.
Teo, Yong Siah, et al.. (2024). Error suppression in multicomponent cat codes with photon subtraction and teleamplification. Optics Express. 32(12). 20719–20719. 1 indexed citations
4.
Teo, Yong Siah. (2023). Optimized numerical gradient and Hessian estimation for variational quantum algorithms. Physical review. A. 107(4). 2 indexed citations
5.
Teo, Yong Siah, et al.. (2023). Exponential data encoding for quantum supervised learning. Physical review. A. 107(1). 17 indexed citations
6.
Teo, Yong Siah, et al.. (2023). Virtual distillation with noise dilution. Physical review. A. 107(2). 5 indexed citations
7.
Teo, Yong Siah, et al.. (2022). All-Photonic Architecture for Scalable Quantum Computing with Greenberger-Horne-Zeilinger States. PRX Quantum. 3(3). 17 indexed citations
8.
Teo, Yong Siah, Hyunseok Jeong, Yosep Kim, et al.. (2021). Benchmarking quantum tomography completeness and fidelity with machine learning. Library Open Repository (Universidad Complutense Madrid). 12 indexed citations
9.
Gianani, Ilaria, Yong Siah Teo, Valeria Cimini, et al.. (2020). Compressively Certifying Quantum Measurements. PRX Quantum. 1(2). 6 indexed citations
10.
Teo, Yong Siah, et al.. (2020). Resource-Efficient Topological Fault-Tolerant Quantum Computation with Hybrid Entanglement of Light. Physical Review Letters. 125(6). 60501–60501. 33 indexed citations
11.
Oh, Changhun, Yong Siah Teo, & Hyunseok Jeong. (2019). Probing Bayesian Credible Regions Intrinsically: A Feasible Error Certification for Physical Systems. Physical Review Letters. 123(4). 40602–40602. 3 indexed citations
12.
Ahn, Dae‐Ro, Yong Siah Teo, Hyunseok Jeong, et al.. (2019). Adaptive compressive tomography: A numerical study. Physical review. A. 100(1). 12 indexed citations
13.
Ahn, Dae‐Ro, Yong Siah Teo, Hyunseok Jeong, et al.. (2019). Adaptive Compressive Tomography with No a priori Information. Physical Review Letters. 122(10). 100404–100404. 30 indexed citations
14.
Teo, Yong Siah, Changhun Oh, & Hyunseok Jeong. (2018). Bayesian error regions in quantum estimation I: analytical reasonings. New Journal of Physics. 20(9). 93009–93009. 5 indexed citations
15.
Müller, Christian, Christian Peuntinger, Imran Khan, et al.. (2016). Evading Vacuum Noise: Wigner Projections or Husimi Samples?. Physical Review Letters. 117(7). 70801–70801. 9 indexed citations
16.
Řeháček, J., Z. Hradil, Yong Siah Teo, et al.. (2015). Least-bias state estimation with incomplete unbiased measurements. Physical Review A. 92(5). 1 indexed citations
17.
Dai, Jibo, et al.. (2014). Experimental Detection of Entanglement with Optimal-Witness Families. Physical Review Letters. 113(17). 170402–170402. 16 indexed citations
18.
Teo, Yong Siah, J. Řeháček, & Z. Hradil. (2013). Informationally incomplete quantum tomography. SHILAP Revista de lepidopterología. 1(1). 57–83. 8 indexed citations
19.
Teo, Yong Siah, Huangjun Zhu, Berthold‐Georg Englert, J. Řeháček, & Z. Hradil. (2011). Quantum-State Reconstruction by Maximizing Likelihood and Entropy. Physical Review Letters. 107(2). 20404–20404. 81 indexed citations
20.
Zhu, Huangjun, Yong Siah Teo, & Berthold‐Georg Englert. (2010). Two-qubit symmetric informationally complete positive-operator-valued measures. Physical Review A. 82(4). 14 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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