Lü Su

170 papers receiving 6.6k citations

Lü Su's Hit Papers

EANN 2018 · 701 citations
7010+3+6Years since publication200400600

Peers

Lü Su
Comparison fields: 5 of 151
  • Computer Science Applications 2.4k
  • Transportation 881
  • Artificial Intelligence 3.1k
  • Signal Processing 808
  • Information Systems 1.2k
Replace Yanmin Zhu with:
Yanmin Zhu China
Huadóng Ma China
Burak Kantarcı Canada
Marco Gruteser United States
Venkata N. Padmanabhan United States
Leye Wang China
Zimu Zhou China
Daqing Zhang China
Luca Foschini Italy
Hongbo Jiang China
Lü Su relative to Yanmin Zhu China Yanmin Zhu's profile →
Citations per field
00.5×1.5×2.0×
Yanmin Zhu · 1×
Citations per year

Countries citing papers authored by Lü Su

Since Specialization
Citations

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

Fields of papers citing papers by Lü Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EANN
Hit paper breakdown →
2018701
2
Towards Environment Independent Device Free Human Activity Recognition
Hit paper breakdown →
2018426
3
A Survey on Truth Discovery
Hit paper breakdown →
2016260
4 2014242
5 2015206
6 2020184
7 2015152
8 2017145
9 2016138
10 2015138
11 2015126
12 2018123
13 2021122
14 2015120
15 2016107
16 201595
17 201792
18 201791
19 201886
20 201679

About Lü Su

Lü Su is a scholar working on Artificial Intelligence, Computer Science Applications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Transportation, having authored 180 papers that have together received 6.7k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (57 papers), Indoor and Outdoor Localization Technologies (30 papers), Human Mobility and Location-Based Analysis (25 papers), Privacy-Preserving Technologies in Data (21 papers), Energy Efficient Wireless Sensor Networks (12 papers), Context-Aware Activity Recognition Systems (12 papers), Anomaly Detection Techniques and Applications (12 papers) and Traffic Prediction and Management Techniques (9 papers). The work is most often cited by research in Computer Science Applications (2.4k citations), Transportation (881 citations), Artificial Intelligence (3.1k citations), Signal Processing (808 citations) and Information Systems (1.2k citations). Lü Su has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jing Gao, Haiming Jin, Klara Nahrstedt, Fenglong Ma, Chenglin Miao, Yaliang Li, Tarek Abdelzaher, Ye Yuan, Wenjun Jiang and Houping Xiao. Their work appears in journals such as IEEE Transactions on Mobile Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Sensor Networks, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the National Academy of Sciences.

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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