Seng Pei Liew

531 total citations
14 papers, 90 citations indexed

About

Seng Pei Liew is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Seng Pei Liew has authored 14 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 5 papers in Astronomy and Astrophysics. Recurrent topics in Seng Pei Liew's work include Particle physics theoretical and experimental studies (8 papers), Cosmology and Gravitation Theories (5 papers) and Dark Matter and Cosmic Phenomena (4 papers). Seng Pei Liew is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), Cosmology and Gravitation Theories (5 papers) and Dark Matter and Cosmic Phenomena (4 papers). Seng Pei Liew collaborates with scholars based in Japan, United Kingdom and Germany. Seng Pei Liew's co-authors include Koichi Hamaguchi, Alessandro Vichi, Kathryn M. Zurek, Michele Papucci, Kazunori Nakayama, Kong Aik Lee, Motoi Endo, Kyohei Mukaida, Kyu Jung Bae and Masatoshi Yoshikawa and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Seng Pei Liew

14 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seng Pei Liew Japan	6	57	29	28	18	3	14	90
M. Schumacher Germany	5	90 1.6×	31 1.1×	10 0.4×	14 0.8×		12	126
A. Hammad Egypt	11	219 3.8×	30 1.0×	19 0.7×	3 0.2×	3 1.0×	26	239
Sung Hak Lim United States	5	101 1.8×	40 1.4×	18 0.6×	1 0.1×	3 1.0×	8	133
A. Søgaard Canada	3	82 1.4×	16 0.6×	37 1.3×		4 1.3×	8	94
Marco Bonici Italy	5	17 0.3×	52 1.8×	11 0.4×	2 0.1×	4 1.3×	12	72
M. Kado Italy	6	130 2.3×	27 0.9×	21 0.8×		5 1.7×	9	137
E. Gross Israel	6	73 1.3×	10 0.3×	29 1.0×		5 1.7×	19	93
J. Howard United States	5	71 1.2×	26 0.9×	27 1.0×		5 1.7×	8	85
Christopher J. Shallue United States	4	5 0.1×	47 1.6×	21 0.8×	5 0.3×	2 0.7×	6	71
D. P. Yallup United Kingdom	4	74 1.3×	28 1.0×	15 0.5×		4 1.3×	8	96

Countries citing papers authored by Seng Pei Liew

Since Specialization

Citations

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

Fields of papers citing papers by Seng Pei Liew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seng Pei Liew. 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 Seng Pei Liew. The network helps show where Seng Pei Liew may publish in the future.

Co-authorship network of co-authors of Seng Pei Liew

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

All Works

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14 of 14 papers shown

1.

Takahashi, Tsubasa, et al.. (2022). HDPView. Proceedings of the VLDB Endowment. 15(9). 1766–1778. 2 indexed citations

2.

Liew, Seng Pei, et al.. (2022). Network Shuffling: Privacy Amplification via Random Walks. Proceedings of the 2022 International Conference on Management of Data. 773–787. 8 indexed citations

3.

Liew, Seng Pei, et al.. (2021). Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors?. National Conference on Artificial Intelligence. 2 indexed citations

4.

Liew, Seng Pei, et al.. (2020). POCO: A Voice Spoofing and Liveness Detection Corpus Based on Pop Noise. 1081–1085. 17 indexed citations

5.

Liew, Seng Pei, et al.. (2020). Secure IoT Device Architecture Using TrustZone. 1–6. 1 indexed citations

6.

Liew, Seng Pei & Satoshi Ikeda. (2019). Detecting Adversary using Windows Digital Artifacts. 3210–3215. 2 indexed citations

7.

Bae, Kyu Jung, et al.. (2018). Colder freeze-in axinos decaying into photons. Physical review. D. 97(5). 8 indexed citations

8.

Liew, Seng Pei, Michele Papucci, Alessandro Vichi, & Kathryn M. Zurek. (2017). Mono-X versus direct searches: simplified models for dark matter at the LHC. Journal of High Energy Physics. 2017(6). 16 indexed citations

9.

Hamaguchi, Koichi & Seng Pei Liew. (2016). Models of a 750 GeV quarkonium and the LHC excesses. Physical review. D. 94(3). 3 indexed citations

10.

Liew, Seng Pei, et al.. (2015). A closer look at a hint of SUSY at the 8 TeV LHC. Journal of High Energy Physics. 2015(5). 3 indexed citations

11.

Hamaguchi, Koichi, Seng Pei Liew, & Martin Stoll. (2015). How to decontaminate overlapping fat jets. Physical review. D. Particles, fields, gravitation, and cosmology. 92(1). 3 indexed citations

12.

Liew, Seng Pei, et al.. (2015). Z-peaked excess in goldstini scenarios. Physics Letters B. 750. 539–546. 6 indexed citations

13.

Liew, Seng Pei. (2013). Gamma-ray line from radiative decay of gravitino dark matter. Physics Letters B. 724(1-3). 88–91. 4 indexed citations

14.

Endo, Motoi, Koichi Hamaguchi, Seng Pei Liew, Kyohei Mukaida, & Kazunori Nakayama. (2013). Axino dark matter with R-parity violation and 130 GeV gamma-ray line. Physics Letters B. 721(1-3). 111–117. 15 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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