Penglei Sun

407 citations
9 papers · 224 · 1 hit paper · h-index 4

Impact in

Papers in

Penglei Sun

8 papers receiving 222 citations

Penglei Sun's Hit Papers

Multi-Modal Knowledge Graph Construction and Application: A Survey 2022 · 149 citations
1490+1+2Years since publication4080120

Peers

Penglei Sun
Comparison fields: 5 of 62
  • General Engineering 6
  • Safety, Risk, Reliability and Quality 34
  • Artificial Intelligence 115
  • Health Informatics 3
  • Computer Vision and Pattern Recognition 43
Replace Majid Bahrepour with:
Majid Bahrepour Netherlands
Santosh Kumar Das India
Junfeng Hu China
Muhammad Shafay United Arab Emirates
Anjun Su China
Jorge Augusto Meira Luxembourg
Patrick Glauner Luxembourg
Wuxing Chen China
Zhi Liang China
Fangqi Li China
Penglei Sun relative to Majid Bahrepour Netherlands Majid Bahrepour's profile →
Citations per field
00.5×20×40×69×
Majid Bahrepour · 1×
Citations per year

Countries citing papers authored by Penglei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Penglei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Multi-Modal Knowledge Graph Construction and Application: A Survey
Hit paper breakdown →
2022149
2 201645
3 202418
4 20254
5 20253
6 20242
7 20242
8 20231
9 20250

About Penglei Sun

Penglei Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Civil and Structural Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 9 papers that have together received 224 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Advanced Graph Neural Networks (2 papers), Multimodal Machine Learning Applications (2 papers), Robotics and Sensor-Based Localization (1 paper), Landslides and related hazards (1 paper), Geotechnical Engineering and Underground Structures (1 paper), Synthetic Aperture Radar (SAR) Applications and Techniques (1 paper) and Civil and Geotechnical Engineering Research (1 paper). The work is most often cited by research in General Engineering (6 citations), Safety, Risk, Reliability and Quality (34 citations), Artificial Intelligence (115 citations), Health Informatics (3 citations) and Computer Vision and Pattern Recognition (43 citations). Penglei Sun has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Zhixu Li, Yanghua Xiao, Nicholas Jing Yuan, Xuwu Wang, Yanbin Luo, Hongyu Wang, Jianxun Chen, Xiaofang Zhou, Haoyu Liu and Wei Song. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Automation Science and Engineering, Applied Physics A, KSCE Journal of Civil Engineering and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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