Cheng Yang

1.1k citations
119 papers · 649 · h-index 14

Impact in

Papers in

    • Recommender Systems and Techniques 23
    • Digital Rights Management and Security 8
    • Advanced Steganography and Watermarking Techniques 22
    • Chaos-based Image/Signal Encryption 10
    • Image Retrieval and Classification Techniques 7
    • Video Analysis and Summarization 6

Cheng Yang

105 papers receiving 619 citations

Peers

Cheng Yang
Comparison fields: 5 of 120
  • Information Systems 181
  • Computer Vision and Pattern Recognition 136
  • Modeling and Simulation 22
  • Artificial Intelligence 126
  • Statistics, Probability and Uncertainty 22
Replace Hongwei Wang with:
Hongwei Wang China
Hardik Gohel United States
Anjana Gupta India
Meng Liu China
Xin Guo China
Chuang Ma China
Yufei Wang China
Yi Sun‡ China
Cheng Yang relative to Hongwei Wang China Hongwei Wang's profile →
Citations per field
00.5×1.5×2.4×
Hongwei Wang · 1×
Citations per year

Countries citing papers authored by Cheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 201648
3 202433
4 201633
5 202225
6 201519
7 201518
8 202518
9 202117
10 202416
11 202016
12 202315
13 201313
14 201013
15 202211
16 201810
17 202010
18 201210
19 202510
20 20189

About Cheng Yang

Cheng Yang is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science, having authored 119 papers that have together received 649 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (23 papers), Advanced Steganography and Watermarking Techniques (22 papers), Chaos-based Image/Signal Encryption (10 papers), Digital Rights Management and Security (8 papers), Multimedia Communication and Technology (7 papers), Image Retrieval and Classification Techniques (7 papers), Cryptography and Data Security (6 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Information Systems (181 citations), Computer Vision and Pattern Recognition (136 citations), Modeling and Simulation (22 citations), Artificial Intelligence (126 citations) and Statistics, Probability and Uncertainty (22 citations). Cheng Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao Li, Yana Zhang, Jianbo Liu, Xiaolin Li, Jianbo Liu, Lianbing Deng, Yanjiang Cai, Xiangyun Long, Wei Gao and Yu Guo. Their work appears in journals such as IEEE Access, Sensors, Industrial Crops and Products, Materials Letters and Neurocomputing.

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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