Sidi Lu

2.2k citations
31 papers · 1.1k · h-index 12

Impact in

Papers in

Sidi Lu

28 papers receiving 1.1k citations

Peers

Sidi Lu
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 395
  • Artificial Intelligence 551
  • Automotive Engineering 161
  • Computer Networks and Communications 213
  • Hardware and Architecture 52
Replace Tongqing Zhou with:
Tongqing Zhou China
Christos Dimitrakakis Switzerland
Tianyu Gu China
Shixiang Gu United States
Qingyang Zhang China
Matthias R. Brust Luxembourg
Yu Bo China
Liangkai Liu United States
Beihong Jin China
Sidi Lu relative to Tongqing Zhou China Tongqing Zhou's profile →
Citations per field
00.5×3.2×
Tongqing Zhou · 1×
Citations per year

Countries citing papers authored by Sidi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sidi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020274
2 2018260
3 2018220
4 2019100
5
Making Disk Failure Predictions SMARTer
202037
6 202235
7
Collaborative Learning on the Edges: A Case Study on Connected Vehicles
201929
8 202027
9 202223
10 202323
11 202020
12 202119
13 20249
14 20227
15 20227
16
CoT: Cooperative Training for Generative Modeling.
20186
17
CoT: Cooperative Training for Generative Modeling of Discrete Data
20186
18 20205
19 20233
20 20243

About Sidi Lu

Sidi Lu is a scholar working on Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Transportation and Mobility Innovations (5 papers), IoT and Edge/Fog Computing (5 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Real-Time Systems Scheduling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (395 citations), Artificial Intelligence (551 citations), Automotive Engineering (161 citations), Computer Networks and Communications (213 citations) and Hardware and Architecture (52 citations). Sidi Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Weisong Shi, Yong Yu, Weinan Zhang, Jiaxian Guo, Yongtao Yao, Liangkai Liu, Jun Wang, Han Cai, Zhong Ren and Qingyang Zhang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Internet Computing, IEEE Network, ACM Transactions on Intelligent Systems and Technology and River Publishers eBooks.

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.

Explore authors with similar magnitude of impact