Samuel Cheng

3.3k total citations · 1 hit paper
161 papers, 2.2k citations indexed

About

Samuel Cheng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Samuel Cheng has authored 161 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 56 papers in Computer Vision and Pattern Recognition and 47 papers in Computer Networks and Communications. Recurrent topics in Samuel Cheng's work include Wireless Communication Security Techniques (40 papers), Error Correcting Code Techniques (28 papers) and Advanced Wireless Communication Techniques (15 papers). Samuel Cheng is often cited by papers focused on Wireless Communication Security Techniques (40 papers), Error Correcting Code Techniques (28 papers) and Advanced Wireless Communication Techniques (15 papers). Samuel Cheng collaborates with scholars based in United States, United Kingdom and China. Samuel Cheng's co-authors include Vladimir Stanković, Zixiang Xiong, Lina Stanković, Hong Liu, Bin Zheng, Shuang Wang, Xiaoqian Jiang, A.D. Liveris, Maxine Tan and Pramode K. Verma and has published in prestigious journals such as Physical review. B, Condensed matter, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Samuel Cheng

149 papers receiving 2.1k citations

Hit Papers

A Survey on Deep Reinforcement Learning Algorithms for Ro... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Cheng United States 26 718 667 562 511 227 161 2.2k
Salman A. AlQahtani Saudi Arabia 24 604 0.8× 165 0.2× 333 0.6× 754 1.5× 169 0.7× 237 2.4k
Carlos Mosquera Spain 21 1.0k 1.4× 332 0.5× 420 0.7× 744 1.5× 33 0.1× 127 2.6k
Bin Yu China 18 713 1.0× 704 1.1× 416 0.7× 731 1.4× 77 0.3× 87 2.6k
Hadi Jahanshahi China 40 532 0.7× 585 0.9× 740 1.3× 1.3k 2.5× 45 0.2× 172 4.6k
Robert Nowak Poland 22 410 0.6× 170 0.3× 563 1.0× 1.1k 2.2× 120 0.5× 117 2.2k
Andreas Weber⋆ Germany 30 440 0.6× 900 1.3× 446 0.8× 115 0.2× 37 0.2× 144 3.3k
Jingmin Xin China 23 628 0.9× 414 0.6× 340 0.6× 157 0.3× 212 0.9× 172 2.3k
Jie Qin China 30 431 0.6× 2.0k 3.1× 1.2k 2.2× 105 0.2× 175 0.8× 184 3.5k
Héctor Pérez-Meana Mexico 24 183 0.3× 1.1k 1.6× 417 0.7× 170 0.3× 80 0.4× 247 2.2k
Moawad I. Dessouky Egypt 25 1.4k 1.9× 682 1.0× 304 0.5× 636 1.2× 97 0.4× 269 2.7k

Countries citing papers authored by Samuel Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Cheng. 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 Samuel Cheng. The network helps show where Samuel Cheng may publish in the future.

Co-authorship network of co-authors of Samuel Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Cheng. A scholar is included among the top collaborators of Samuel Cheng 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 Samuel Cheng. Samuel Cheng 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.
Hu, Tao, et al.. (2025). FAIR principles in workflows: A GIScience workflow management system for reproducible and replicable studies. International Journal of Applied Earth Observation and Geoinformation. 138. 104477–104477. 2 indexed citations
2.
Cheng, Samuel, et al.. (2024). Non-Iterative Cluster Routing: Analysis and Implementation Strategies. Applied Sciences. 14(5). 1706–1706. 1 indexed citations
3.
Li, Tan, Samuel Cheng, Tommy H.T. Chan, & Haibo Hu. (2024). A polynomial proxy model approach to verifiable decentralized federated learning. Scientific Reports. 14(1). 28786–28786.
4.
Cheng, Samuel, et al.. (2023). Efficient Pooling Operator for 3D Morphable Models. IEEE Transactions on Visualization and Computer Graphics. 30(7). 4225–4233. 1 indexed citations
6.
Han, Dong, Beni Mulyana, Vladimir Stanković, & Samuel Cheng. (2023). A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation. Sensors. 23(7). 3762–3762. 91 indexed citations breakdown →
7.
Gu, Haogao, Daisy Y.M. Ng, Pavithra Krishnan, et al.. (2022). Development of multiplex RT‐ddPCR assays for detection of SARS‐CoV‐2 and other common respiratory virus infections. Influenza and Other Respiratory Viruses. 17(1). e13084–e13084. 5 indexed citations
8.
Cheng, Samuel, Susanna S. Ng, Trushar Jeevan, et al.. (2022). Plaque-neutralizing antibody to BA.2.12.1, BA.4 and BA.5 in individuals with three doses of BioNTech or CoronaVac vaccines, natural infection and breakthrough infection. Journal of Clinical Virology. 156. 105273–105273. 17 indexed citations
9.
Vijaykrishna, Dhanasekaran, Kimberly M. Edwards, Ruopeng Xie, et al.. (2021). Air travel-related outbreak of multiple SARS-CoV-2 variants. Journal of Travel Medicine. 28(8). 11 indexed citations
10.
Wang, Shuang, Luca Bonomi, Wenrui Dai, et al.. (2016). Big Data Privacy in Biomedical Research. IEEE Transactions on Big Data. 6(2). 296–308. 31 indexed citations
11.
Verma, Pramode K., et al.. (2016). Genomic Data Privacy Protection using Compressed Sensing. 9(1). 1–13. 2 indexed citations
12.
Wang, Shuang, et al.. (2016). PATTERN: Pain Assessment for paTients who can’t TEll using Restricted Boltzmann machiNe. BMC Medical Informatics and Decision Making. 16(S3). 73–73. 5 indexed citations
13.
14.
Li, Bei, et al.. (2015). Maximize Producer Rewards in Distributed Windmill Environments: A Q-Learning Approach. AIMS energy. 3(1). 162–172. 9 indexed citations
15.
Jiang, Xiaoqian, Rui Chen, Samuel Cheng, et al.. (2014). Computational Advances in Cancer Informatics (A). Cancer Informatics. 13s1(Suppl 1). CIN.S19243–CIN.S19243. 2 indexed citations
16.
Chen, Feng, Samuel Cheng, Noman Mohammed, Shuang Wang, & Xiaoqian Jiang. (2014). PRECISE: PRivacy-preserving cloud-assisted quality improvement service in healthcare. PubMed. 2. 176–183. 9 indexed citations
17.
Wang, Shuang, et al.. (2013). EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. Journal of Biomedical Informatics. 46(3). 480–496. 55 indexed citations
18.
Stanković, Vladimir, Lina Stanković, & Samuel Cheng. (2009). Sparse signal recovery with side information. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 100–104. 4 indexed citations
19.
Xiong, Zixiang, A.D. Liveris, Samuel Cheng, & Zhixin Liu. (2003). Nested quantization and Slepian-Wolf coding: a Wyner-Ziv coding paradigm for i.i.d. sources. 26 indexed citations
20.
Xiong, Zixiang, Xiaolin Wu, Samuel Cheng, & Jianping Hua. (2003). Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms. IEEE Transactions on Medical Imaging. 22(3). 459–470. 103 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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