Alec Lu

406 citations
17 papers · 222 indexed · h-index 7
Topics
Advanced Neural Network Applications (7 papers)CCD and CMOS Imaging Sensors (5 papers)Parallel Computing and Optimization Techniques (5 papers)
Journals
ACM Transactions on Reconfigurable Technology and SystemsProceedings of the 59th ACM/IEEE Design Automation Conference

In The Last Decade

Alec Lu

15 papers receiving 215 citations

Peers

Alec Lu
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 114
  • Computer Vision and Pattern Recognition 77
  • Hardware and Architecture 62
  • Artificial Intelligence 60
  • Computer Networks and Communications 41
Replace Paolo Zicari with:
Paolo Zicari Italy
Zhuoran Song China
Rajesh A. Thakker India
Linyan Mei Belgium
Wenping Zhu China
Angelo Garofalo Italy
Jeff Pool United States
Vikram Jain Belgium
Wenming Li China
Alec Lu relative to Paolo Zicari Italy Paolo Zicari's profile →
Citations per field
00.5×10.6×
Paolo Zicari · 1×
Citations per year

Countries citing papers authored by Alec Lu

Since Specialization
Citations

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

Fields of papers citing papers by Alec Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alec Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Alec Lu. A scholar is included among the top collaborators of Alec Lu 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 Alec Lu. Alec Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 0
3 0
4 1
5 4
6 3
7 3
8 5
9 49
10 3
11 48
12 1
13 42
14 6
15 19
16 20
17 15

About Alec Lu

Alec Lu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 17 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), CCD and CMOS Imaging Sensors (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (62 citations), Media Technology (38 citations) and Computer Vision and Pattern Recognition (77 citations). Alec Lu has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Zhenman Fang, Zhengang Li, Mengshu Sun, Lesley Shannon, Yanyu Li, Xue Lin, Xue Lin, Xiaolong Ma, Yanzhi Wang and Weihua Liu. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems and Proceedings of the 59th ACM/IEEE Design Automation Conference.

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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