Hien To

20 papers receiving 912 citations

Hien To's Hit Papers

A framework for protecting worker location privacy in spatial crowdsourcing 2014 · 282 citations
2820+4+8Years since publication50100150200250

Peers

Hien To
Comparison fields: 5 of 48
  • Computer Science Applications 705
  • Transportation 287
  • Artificial Intelligence 533
  • Management Science and Operations Research 131
  • Computer Networks and Communications 118
Replace Md Tanvir Al Amin with:
Md Tanvir Al Amin United States
Nam Pham United States
Caleb Chen Cao Hong Kong
Leyla Kazemi United States
Zhenni Feng China
Mingyuan Yan United States
Ioannis Boutsis Greece
Tingxin Yan United States
Maryam Pouryazdan Canada
Matteo Venanzi United Kingdom
Hien To relative to Md Tanvir Al Amin United States Md Tanvir Al Amin's profile →
Citations per field
00.5×6.5×
Md Tanvir Al Amin · 1×
Citations per year

Countries citing papers authored by Hien To

Since Specialization
Citations

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

Fields of papers citing papers by Hien To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
A framework for protecting worker location privacy in spatial crowdsourcing
Hit paper breakdown →
2014282
2 2015121
3 2016112
4 201682
5 201869
6 201854
7 201736
8 201529
9 201324
10 201522
11 201618
12 201316
13 201616
14 201615
15 201511
16 201610
17 20169
18 20165
19 20164
20 20202

About Hien To

Hien To is a scholar working on Computer Science Applications, Transportation, Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 20 papers that have together received 937 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (13 papers), Human Mobility and Location-Based Analysis (10 papers), Privacy-Preserving Technologies in Data (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Auction Theory and Applications (3 papers), Data Management and Algorithms (2 papers), Evacuation and Crowd Dynamics (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Science Applications (705 citations), Transportation (287 citations), Artificial Intelligence (533 citations), Management Science and Operations Research (131 citations) and Computer Networks and Communications (118 citations). Hien To has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Cyrus Shahabi, Gabriel Ghinita, Liyue Fan, Leyla Kazemi, Luan Tran, Li Xiong, Seon Ho Kim, Sumeet Agrawal, Seon‐Ho Kim and Tuan Anh Nguyen. Their work appears in journals such as IEEE Transactions on Mobile Computing, Molecular Ecology Resources, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Spatial Algorithms and Systems and Proceedings of the VLDB Endowment.

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.

Explore authors with similar magnitude of impact