Baik Hoh

2.5k citations
14 papers · 1.7k · h-index 9

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 6
    • Anomaly Detection Techniques and Applications 3
    • Internet Traffic Analysis and Secure E-voting 2
    • Autonomous Vehicle Technology and Safety 4
    • Transportation and Mobility Innovations 3

Baik Hoh

13 papers receiving 1.6k citations

Peers

Baik Hoh
Comparison fields: 5 of 66
  • Computer Science Applications 702
  • Transportation 417
  • Artificial Intelligence 972
  • Management Science and Operations Research 209
  • Building and Construction 196
Replace Claudio Fiandrino with:
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Katrina LaCurts United States
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Baik Hoh relative to Claudio Fiandrino Spain Claudio Fiandrino's profile →
Citations per field
00.5×4.3×
Claudio Fiandrino · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Baik Hoh, 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 Baik Hoh Line = papers co-authored together Baik Hoh links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010300
2 2008275
3 2006257
4 2007238
5 2006198
6 2010167
7 201172
8 201071
9 201259
10 20217
11 20215
12 20195
13 20203
14 20061

About Baik Hoh

Baik Hoh is a scholar working on Artificial Intelligence, Automotive Engineering, Electrical and Electronic Engineering, Computer Science Applications and Transportation, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Transportation and Mobility Innovations (3 papers), Anomaly Detection Techniques and Applications (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Science Applications (702 citations), Transportation (417 citations), Artificial Intelligence (972 citations), Management Science and Operations Research (209 citations) and Building and Construction (196 citations). Baik Hoh has collaborated with scholars based in United States, Poland and Chile. Frequent co-authors include Marco Gruteser, Juong-Sik Lee, A.I. Alrabady, Hui Xiong, Alexandre M. Bayen, Juan Carlos Herrera, Jeff Ban, Ryan Herring, Quinn Jacobson and Daniel B. Work. Their work appears in journals such as IEEE Transactions on Mobile Computing, Pervasive and Mobile Computing and IEEE Pervasive Computing.

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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