Peng Peng

1.2k total citations
41 papers, 534 citations indexed

About

Peng Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Peng has authored 41 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Peng's work include Anomaly Detection Techniques and Applications (5 papers), Spam and Phishing Detection (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). Peng Peng is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Spam and Phishing Detection (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). Peng Peng collaborates with scholars based in China, United States and Germany. Peng Peng's co-authors include Fuli Li, Gang Wang, Limin Yang, Linhai Song, Chongdang Liu, Hang Hu, Gang Wang, Linxuan Zhang, Rong Yao and Jun Wang and has published in prestigious journals such as The Astrophysical Journal, Physical Review A and Geophysical Journal International.

In The Last Decade

Peng Peng

35 papers receiving 510 citations

Peers

Peng Peng
Comparison fields: 5 of 85
  • Artificial Intelligence 299
  • Information Systems 137
  • Computer Networks and Communications 106
  • Atomic and Molecular Physics, and Optics 94
  • Signal Processing 92
Replace Gabriele Gianini with:
Gabriele Gianini Italy
Peng Sun China
Leemon C. Baird United States
Yanzhao Wu United States
Zhengui Xue China
Lianmin Zheng China
Saif Al‐Kuwari Qatar
Ruijin Wang China
Hala S. El‐sayed Egypt
Christine Podilchuk United States
Gabriele Gianini Italy View profile →
Citations per field, relative to Peng Peng
Peng Peng · 1×
Citations per year, relative to Peng Peng
Peng Peng · 1×

Countries citing papers authored by Peng Peng

Since Specialization
Citations

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

Fields of papers citing papers by Peng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Peng. A scholar is included among the top collaborators of Peng Peng 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 Peng Peng. Peng Peng 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
# Work Indexed citations
1 0
2 15
3 0
4 9
5 3
6 1
7 2
8 0
9 18
10
An Efficient Privacy-aware Authentication Scheme for Distributed Mobile Cloud Computing Services without Bilinear Pairings.
3
11 10
12 9
13 50
14 11
15 7
16 6
17
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.
94
18
Reflections on Architectural Education in Digital Age
2
19
DESIGN METHODOLOGY OF NETWORKED SOFTWARE EVOLUTION GROWTH BASED ON SOFTWARE PATTERNS
18
20 4

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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