Chenyang Lu

769 citations
20 papers · 503 · h-index 10

Impact in

Papers in

Chenyang Lu

19 papers receiving 462 citations

Peers

Chenyang Lu
Comparison fields: 5 of 56
  • Hardware and Architecture 221
  • Computer Networks and Communications 211
  • Software 29
  • Computer Vision and Pattern Recognition 141
  • Artificial Intelligence 106
Replace Hai Wan with:
Hai Wan China
Amin Ansari United States
Egor Bondarev Netherlands
Minsoo Kim South Korea
Alex Brooks Australia
Sang Seok Lim Canada
Rabie Ben Atitallah France
Doran Wilde United States
Robert H. Klenke United States
Cheolhyeon Kwon United States
Chenyang Lu relative to Hai Wan China Hai Wan's profile →
Citations per field
00.5×2.9×
Hai Wan · 1×
Citations per year

Countries citing papers authored by Chenyang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002103
2 2019102
3 2003101
4 200484
5 202317
6 200617
7 200516
8 200614
9 201014
10 20249
11 20247
12 20236
13 20234
14 20203
15 20182
16 20251
17
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders.
20181
18 20241
19 20061
20 20250

About Chenyang Lu

Chenyang Lu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (6 papers), Advanced Software Engineering Methodologies (3 papers), Advanced Neural Network Applications (3 papers), Software System Performance and Reliability (2 papers), Anomaly Detection Techniques and Applications (2 papers), Distributed systems and fault tolerance (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Hardware and Architecture (221 citations), Computer Networks and Communications (211 citations), Software (29 citations), Computer Vision and Pattern Recognition (141 citations) and Artificial Intelligence (106 citations). Chenyang Lu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include John A. Stankovic, Gijs Dubbelman, Tarek Abdelzaher, Ronghua Zhang, Sang H. Son, Marty Humphrey, Xenofon Koutsoukos, Xiaorui Wang, Dong Jia and Gazihan Alankuş. Their work appears in journals such as Applied Intelligence, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Robotics and Automation Letters, IEEE Transactions on Mobile Computing and IEEE Transactions on Instrumentation and Measurement.

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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