Rui Peng

482 citations
26 papers · 311 indexed · h-index 8
Topics
Traffic Prediction and Management Techniques (6 papers)Vehicular Ad Hoc Networks (VANETs) (6 papers)Robotics and Sensor-Based Localization (6 papers)

In The Last Decade

Rui Peng

24 papers receiving 299 citations

Peers

Rui Peng
Comparison fields: 5 of 85
  • Control and Systems Engineering 75
  • Computer Vision and Pattern Recognition 75
  • Ocean Engineering 72
  • Transportation 57
  • Mechanical Engineering 55
Replace Guojun Chen with:
Guojun Chen China
Aleš Janota Slovakia
Yihuan Zhang China
Maan E. El Najjar France
Man Liang China
Zhongyang Xiao China
Tomasz Maniak United Kingdom
Yifan Yang China
Mario Ortí Mata Spain
Marco Cattani Netherlands
Rui Peng relative to Guojun Chen China Guojun Chen's profile →
Citations per field
00.5×6.1×
Guojun Chen · 1×
Citations per year

Countries citing papers authored by Rui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Rui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Peng. A scholar is included among the top collaborators of Rui 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 Rui Peng. Rui 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
#WorkIndexed citations
1 6
2 7
3 7
4 6
5 1
6 6
7 0
8 15
9 3
10 32
11 4
12
Process neural network modeling for real time short-term traffic flow prediction
2
13 1
14 38
15
Real-Time Traffic Evacuation Management under Multiple Coordinated Human-Caused Threats
1
16 7
17 18
18 5
19 0
20 3

About Rui Peng

Rui Peng is a scholar working on Ocean Engineering, Building and Construction and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Transportation (57 citations), Ocean Engineering (72 citations) and Computer Vision and Pattern Recognition (75 citations). Rui Peng has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include David Navarro-Alarcón, Victor Wu, K.A. Hua, Peng Zhou, Peng Lu, Kien A. Hua, Wen Yang, Ming Lee, Lifeng Wang and Li Zhao. Their work appears in journals such as Nature Communications, Sensors and IEEE Transactions on Intelligent Transportation Systems.

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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