Runwei Guan

446 citations
27 papers · 202 · 1 hit paper · h-index 7

Impact in

Papers in

Runwei Guan

20 papers receiving 198 citations

Runwei Guan's Hit Papers

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review 2023 · 92 citations
920+1+2Years since publication255075

Peers

Runwei Guan
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 60
  • Instrumentation 10
  • Aerospace Engineering 59
  • Ocean Engineering 34
  • Automotive Engineering 25
Replace Salil Goel with:
Salil Goel India
Jean-Charles Noyer France
Ziyang Hong China
Yiyang Zhou China
Carlos Vallespi-Gonzalez United States
Julien Rebut France
Yu-Jhe Li United States
Jan Quenzel Germany
Anna Vorontsova United States
Runwei Guan relative to Salil Goel India Salil Goel's profile →
Citations per field
00.5×8.9×
Salil Goel · 1×
Citations per year

Countries citing papers authored by Runwei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Runwei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Hit paper breakdown →
202392
2 202430
3 202316
4 202310
5 20259
6 20228
7 20236
8 20256
9 20255
10 20234
11 20243
12 20233
13 20252
14 20252
15 20251
16 20251
17 20251
18 20251
19 20251
20 20231

About Runwei Guan

Runwei Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Environmental Engineering and Ocean Engineering, having authored 27 papers that have together received 202 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Remote Sensing and LiDAR Applications (4 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (60 citations), Instrumentation (10 citations), Aerospace Engineering (59 citations), Ocean Engineering (34 citations) and Automotive Engineering (25 citations). Runwei Guan has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yutao Yue, Eng Gee Lim, Ka Lok Man, Xiaohui Zhu, Yong Yue, Shanliang Yao, Hyungjoon Seo, Zhuoxiao Li, Jeremy S. Smith and Jieming Ma. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology, Robotics and Autonomous Systems, IEEE Transactions on Mobile Computing and Neural Networks.

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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