Baik Hoh

2.5k total citations
14 papers, 1.7k citations indexed

About

Baik Hoh is a scholar working on Artificial Intelligence, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Baik Hoh has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Automotive Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Baik Hoh's work include Privacy-Preserving Technologies in Data (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Baik Hoh is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Baik Hoh collaborates with scholars based in United States, Poland and Chile. Baik Hoh's co-authors include Marco Gruteser, Juong-Sik Lee, Hui Xiong, A.I. Alrabady, Murali Annavaram, Jeff Ban, Juan Carlos Herrera, Ryan Herring, Daniel B. Work and Alexandre M. Bayen and has published in prestigious journals such as IEEE Transactions on Mobile Computing, IEEE Pervasive Computing and Pervasive and Mobile Computing.

In The Last Decade

Baik Hoh

13 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Baik Hoh United States 9 972 702 515 417 363 14 1.7k
Tie Luo Singapore 20 378 0.4× 550 0.8× 480 0.9× 207 0.5× 65 0.2× 65 1.6k
Claudio Fiandrino Spain 19 328 0.3× 654 0.9× 486 0.9× 431 1.0× 63 0.2× 70 1.4k
Arvind Thiagarajan United States 9 263 0.3× 422 0.6× 431 0.8× 499 1.2× 31 0.1× 11 1.3k
Han Su China 20 280 0.3× 234 0.3× 91 0.2× 367 0.9× 67 0.2× 51 1.2k
Katrina LaCurts United States 6 169 0.2× 304 0.4× 273 0.5× 261 0.6× 43 0.1× 8 952
Julien Freudiger Switzerland 14 750 0.8× 127 0.2× 864 1.7× 135 0.3× 327 0.9× 26 1.4k
Chang Xu China 23 858 0.9× 259 0.4× 248 0.5× 86 0.2× 125 0.3× 97 1.5k
Liyue Fan United States 12 576 0.6× 305 0.4× 135 0.3× 134 0.3× 140 0.4× 39 794
Peng Cheng China 16 247 0.3× 586 0.8× 177 0.3× 297 0.7× 38 0.1× 66 999
Kang Wei China 13 1.9k 2.0× 276 0.4× 342 0.7× 39 0.1× 241 0.7× 50 2.3k

Countries citing papers authored by Baik Hoh

Since Specialization
Citations

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

Fields of papers citing papers by Baik Hoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baik Hoh

This figure shows the co-authorship network connecting the top 25 collaborators of Baik Hoh. A scholar is included among the top collaborators of Baik Hoh 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 Baik Hoh. Baik Hoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Uçar, Seyhan, Baik Hoh, & Kentaro Oguchi. (2021). Abnormal Driving Behavior Detection System. 1–6. 7 indexed citations
2.
Uçar, Seyhan, Baik Hoh, & Kentaro Oguchi. (2021). Differential Deviation Based Abnormal Driving Behavior Detection. abs11606 1284. 1553–1558. 5 indexed citations
3.
Hoh, Baik, et al.. (2020). CORR: Collaborative On-Road Reputation. 81. 1–6. 3 indexed citations
4.
Uçar, Seyhan, et al.. (2019). Management of Anomalous Driving Behavior. 1–4. 5 indexed citations
5.
6.
Hoh, Baik, Quinn Jacobson, Daniel B. Work, et al.. (2011). Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines. IEEE Transactions on Mobile Computing. 11(5). 849–864. 72 indexed citations
7.
Lee, Juong-Sik & Baik Hoh. (2010). Sell your experiences: a market mechanism based incentive for participatory sensing. 60–68. 299 indexed citations
8.
Lee, Juong-Sik & Baik Hoh. (2010). Dynamic pricing incentive for participatory sensing. Pervasive and Mobile Computing. 6(6). 693–708. 167 indexed citations
9.
Hoh, Baik, Marco Gruteser, Hui Xiong, & A.I. Alrabady. (2010). Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking. IEEE Transactions on Mobile Computing. 9(8). 1089–1107. 71 indexed citations
10.
Hoh, Baik, Marco Gruteser, Ryan Herring, et al.. (2008). Virtual trip lines for distributed privacy-preserving traffic monitoring. 15–28. 274 indexed citations
11.
Hoh, Baik, Marco Gruteser, Hui Xiong, & A.I. Alrabady. (2007). Preserving privacy in gps traces via uncertainty-aware path cloaking. 161–171. 238 indexed citations
12.
Hoh, Baik & Marco Gruteser. (2006). Protecting Location Privacy Through Path Confusion. 194–205. 257 indexed citations
13.
Hoh, Baik, Marco Gruteser, Hui Xiong, & A.I. Alrabady. (2006). Enhancing Privacy Preservation of Anonymous Location Sampling Techniques in Traffic Monitoring Systems. 1–3. 1 indexed citations
14.
Hoh, Baik, Marco Gruteser, Hui Xiong, & A.I. Alrabady. (2006). Enhancing Security and Privacy in Traffic-Monitoring Systems. IEEE Pervasive Computing. 5(4). 38–46. 197 indexed citations

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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