Hong Lu
- Computer Vision and Pattern Recognition top 0.5%
- Computer Science Applications top 0.05%
- Electrical and Electronic Engineering top 2%
- Transportation top 0.2%
- Computer Networks and Communications top 1%
- Co-authors
- Andrew T. CampbellNicholas D. LaneTanzeem ChoudhuryEmiliano MiluzzoShane B. EisenmanMirco MusolesiXiao ZhengKristóf Fodor
- Topics
- Context-Aware Activity Recognition Systems (15 papers)Human Mobility and Location-Based Analysis (13 papers)Mobile Crowdsensing and Crowdsourcing (9 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hong Lu
43 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.9k
- Computer Science Applications 1.6k
- Electrical and Electronic Engineering 1.5k
- Transportation 1.5k
- Computer Networks and Communications 1.3k
Countries citing papers authored by Hong Lu
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
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 of co-authors of Hong Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Lu. A scholar is included among the top collaborators of Hong 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 Hong Lu. Hong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 52 | |
| 4 | 17 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | StressSensebreakdown → | 369 |
| 11 | 11 | |
| 12 | 293 | |
| 13 | The Jigsaw continuous sensing engine for mobile phone applicationsbreakdown → | 438 |
| 14 | 156 | |
| 15 | A survey of mobile phone sensingbreakdown → | 1557 |
| 16 | SoundSensebreakdown → | 447 |
| 17 | The Rise of People-Centric Sensingbreakdown → | 392 |
| 18 | 13 | |
| 19 | 0 | |
| 20 | Sensing meets mobile social networksbreakdown → | 760 |
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) and Mobile Crowdsensing and Crowdsourcing (9 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 Access, IEEE Communications Magazine and Sensors.
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.