Jason Lu

8 papers receiving 401 citations

Jason Lu's Hit Papers

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective 2018 · 338 citations
3380+2+5Years since publication100200300

Peers

Jason Lu
Comparison fields: 5 of 77
  • Hardware and Architecture 77
  • Computational Mathematics 4
  • Computer Networks and Communications 151
  • Information Systems 120
  • Computer Vision and Pattern Recognition 98
Replace Lourdes López with:
Lourdes López Spain
R. Nedunchezhian India
Amar Seeam United Kingdom
Amit Kumar Sikder United States
Wubin Li Canada
Zhongyi Zhai China
Niranjan N. Chiplunkar India
Nenad Petrović Serbia
Tahir Maqsood Pakistan
Jason Lu relative to Lourdes López Spain Lourdes López's profile →
Citations per field
00.5×1.5×
Lourdes López · 1×
Citations per year

Countries citing papers authored by Jason Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jason Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
Hit paper breakdown →
2018338
2 202133
3 201719
4 202218
5 20242
6 20232
7 20231
8
Global Benchmarking Study on Unmanned Aerial Systems for Surface Transportation: Domestic Desk Review
20201
9 20171
10 20081
11 20240

About Jason Lu

Jason Lu is a scholar working on Economics and Econometrics, Electrical and Electronic Engineering, Control and Systems Engineering, Finance and Ocean Engineering, having authored 11 papers that have together received 416 indexed citations. Recurring topics across this work include Landslides and related hazards (2 papers), Neuroscience and Neural Engineering (1 paper), Financial Markets and Investment Strategies (1 paper), Anodic Oxide Films and Nanostructures (1 paper), Housing Market and Economics (1 paper), Global Financial Crisis and Policies (1 paper), Cryospheric studies and observations (1 paper) and Economic theories and models (1 paper). The work is most often cited by research in Hardware and Architecture (77 citations), Computational Mathematics (4 citations), Computer Networks and Communications (151 citations), Information Systems (120 citations) and Computer Vision and Pattern Recognition (98 citations). Jason Lu has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Mohamed Fawzy, David Brooks, Xiaodong Wang, Bill Jia, Liang Xiong, Utku Diril, Misha Smelyanskiy, Yangqing Jia, Kim Hazelwood and Soumith Chintala. Their work appears in journals such as Geomatics Natural Hazards and Risk, Chaos An Interdisciplinary Journal of Nonlinear Science, IEEE Transactions on Sustainable Energy, Advanced Healthcare Materials and Travel Behaviour and Society.

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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