Samuel Cheng

3.3k citations
161 papers · 2.2k · 1 hit paper · h-index 26

Impact in

Papers in

Samuel Cheng

149 papers receiving 2.1k citations

Samuel Cheng's Hit Papers

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation 2023 · 91 citations
910+1+2Years since publication255075

Peers

Samuel Cheng
Comparison fields: 5 of 139
  • Computer Vision and Pattern Recognition 667
  • Health Informatics 31
  • Computer Networks and Communications 511
  • Signal Processing 201
  • Artificial Intelligence 562
Replace Jingmin Xin with:
Jingmin Xin China
Moawad I. Dessouky Egypt
Salman A. AlQahtani Saudi Arabia
Bin Sheng China
Zhiqiang He China
Abeer D. Algarni Saudi Arabia
Soumya Ranjan Nayak India
Feng Lin China
Carlos Mosquera Spain
Andreas Weber⋆ Germany
Samuel Cheng relative to Jingmin Xin China Jingmin Xin's profile →
Citations per field
00.5×3.3×
Jingmin Xin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Samuel Cheng, 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 Samuel Cheng Line = papers co-authored together Samuel Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021118
2 2003103
3
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Hit paper breakdown →
202391
4 201783
5 199979
6 200878
7 201258
8 200556
9 201355
10 201555
11 200652
12 201652
13 200142
14 201739
15 201939
16 200438
17 200936
18 202034
19 201433
20 200433

About Samuel Cheng

Samuel Cheng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 161 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (40 papers), Error Correcting Code Techniques (28 papers), Advanced Wireless Communication Techniques (15 papers), Image and Signal Denoising Methods (13 papers), Advanced Data Compression Techniques (12 papers), Advanced Image Processing Techniques (12 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Cooperative Communication and Network Coding (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (667 citations), Health Informatics (31 citations), Computer Networks and Communications (511 citations), Signal Processing (201 citations) and Artificial Intelligence (562 citations). Samuel Cheng has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Vladimir Stanković, Zixiang Xiong, Lina Stanković, Bin Zheng, Hong Liu, Shuang Wang, A.D. Liveris, Xiaoqian Jiang, Maxine Tan and Yuchen Qiu. Their work appears in journals such as IEEE Transactions on Communications, Emerging infectious diseases, IEEE Transactions on Signal Processing, IEEE Transactions on Multimedia and Journal of Visual Communication and Image Representation.

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.

Explore authors with similar magnitude of impact