Hong Lu

7.8k citations
45 papers · 5.4k indexed · 6 hit papers · h-index 22

Hong Lu

43 papers receiving 5.2k citations

Hit Papers

StressSense369200820262014202050010001.5k

Peers

Hong Lu
Comparison fields: 5 of 129
  • Computer Science Applications 1.6k
  • Transportation 1.5k
  • Human-Computer Interaction 651
  • Computer Vision and Pattern Recognition 1.9k
  • Applied Psychology 435
Replace Nicholas D. Lane with:
Nicholas D. Lane United Kingdom
Emiliano Miluzzo United States
Tanzeem Choudhury United States
Paul Lukowicz Germany
Beverly L. Harrison United States
Miguel A. Labrador United States
Daniel Roggen Switzerland
Deepak Ganesan United States
Romit Roy Choudhury United States
Michael Beigl Germany
Hong Lu relative to Nicholas D. Lane United Kingdom Nicholas D. Lane's profile →
Citations per field
00.5×1.5×
Nicholas D. Lane · 1×
Citations per year

Countries citing papers authored by Hong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20229
3 202152
4 202017
5 20198
6 201919
7 20193
8 20184
9 201830
10
StressSensebreakdown →
2012369
11 201111
12 2011293
13
The Jigsaw continuous sensing engine for mobile phone applicationsbreakdown →
2010438
14 2010156
15
A survey of mobile phone sensingbreakdown →
20101557
16
SoundSensebreakdown →
2009447
17
The Rise of People-Centric Sensingbreakdown →
2008392
18 200813
19 20080
20
Sensing meets mobile social networksbreakdown →
2008760

About Hong Lu

Hong Lu is a scholar working on Transportation, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 5.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), Human Mobility and Location-Based Analysis (13 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Indoor and Outdoor Localization Technologies (7 papers), Speech and Audio Processing (7 papers), Music and Audio Processing (7 papers), Speech Recognition and Synthesis (4 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Computer Science Applications (1.6k citations), Transportation (1.5k citations) and Human-Computer Interaction (651 citations). Hong Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Andrew T. Campbell, Nicholas D. Lane, Tanzeem Choudhury, Emiliano Miluzzo, Shane B. Eisenman, Mirco Musolesi, Xiao Zheng, Kristóf Fodor, Ronald Peterson and Jun Yang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Pervasive Computing, IEEE Internet Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and JMIR mhealth and uhealth.

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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