Dongming Peng

1.5k citations
88 papers · 1.1k · h-index 16

Impact in

Papers in

Dongming Peng

81 papers receiving 1.0k citations

Peers

Dongming Peng
Comparison fields: 5 of 69
  • Computer Networks and Communications 559
  • Computer Vision and Pattern Recognition 417
  • Signal Processing 132
  • Electrical and Electronic Engineering 430
  • Artificial Intelligence 227
Replace Aziza I. Hussein with:
Aziza I. Hussein Egypt
Aldri Santos Brazil
Yangjie Cao China
Abdelshakour Abuzneid United States
Mohammad Trik Iran
Nazar Abbas Saqib Pakistan
Soheil Ghiasi United States
Daniel E. Lucani Denmark
Shane S. Clark United States
Huanhuan Zhang China
Dongming Peng relative to Aziza I. Hussein Egypt Aziza I. Hussein's profile →
Citations per field
00.5×7.5×
Aziza I. Hussein · 1×
Citations per year

Countries citing papers authored by Dongming Peng

Since Specialization
Citations

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

Fields of papers citing papers by Dongming Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004151
2 2010106
3 201285
4 200853
5 201041
6 201039
7 201236
8 200936
9 201134
10 200833
11 200724
12 201020
13 200719
14 200919
15 200718
16 200615
17 200615
18 200814
19 201313
20 200713

About Dongming Peng

Dongming Peng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (26 papers), Energy Efficient Wireless Sensor Networks (26 papers), Chaos-based Image/Signal Encryption (21 papers), Advanced Data Compression Techniques (18 papers), ECG Monitoring and Analysis (14 papers), Wireless Body Area Networks (12 papers), Energy Harvesting in Wireless Networks (12 papers) and Digital Media Forensic Detection (12 papers). The work is most often cited by research in Computer Networks and Communications (559 citations), Computer Vision and Pattern Recognition (417 citations), Signal Processing (132 citations), Electrical and Electronic Engineering (430 citations) and Artificial Intelligence (227 citations). Dongming Peng has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hamid Sharif, Honggang Wang, Hsiao‐Hwa Chen, Pingzhi Fan, Michael Hempel, Tao Ma, Wei Wang, Wei Wang, Ali Khoynezhad and Wei Wang. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Access, IEEE Transactions on Wireless Communications, IEEE Communications Surveys & Tutorials and IEEE Wireless Communications.

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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