Sangjae Bae

463 citations
34 papers · 254 · h-index 8

Impact in

    • Autonomous Vehicle Technology and Safety
    • Advanced Battery Technologies Research
    • Transportation and Mobility Innovations
    • Vehicle emissions and performance
    • Electric and Hybrid Vehicle Technologies
    • Traffic control and management

Papers in

Sangjae Bae

24 papers receiving 248 citations

Peers

Sangjae Bae
Comparison fields: 5 of 36
  • Automotive Engineering 182
  • Control and Systems Engineering 88
  • Transportation 14
  • Electrical and Electronic Engineering 119
  • Computer Vision and Pattern Recognition 33
Replace Dominik S. Buse with:
Dominik S. Buse Germany
Xiaoying Tang China
Yingdong He China
Yanhai Xiong United States
Xiangyu Chen China
Jiangliang Jin Hong Kong
Francois Belletti United States
Xiaosha Chen China
Ahmed F. Ebrahim United States
Sangjae Bae relative to Dominik S. Buse Germany Dominik S. Buse's profile →
Citations per field
00.5×4.7×
Dominik S. Buse · 1×
Citations per year

Countries citing papers authored by Sangjae Bae

Since Specialization
Citations

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

Fields of papers citing papers by Sangjae Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 202136
3 202129
4 202222
5 202221
6 202015
7 202112
8 202312
9 20237
10 20197
11 20227
12 20186
13 20206
14 20245
15 20224
16 20214
17 20173
18 20243
19 20172
20 20172

About Sangjae Bae

Sangjae Bae is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 34 papers that have together received 254 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Robotic Path Planning Algorithms (9 papers), Traffic control and management (9 papers), Transportation and Mobility Innovations (8 papers), Electric Vehicles and Infrastructure (7 papers), Advanced Battery Technologies Research (6 papers), Smart Grid Energy Management (4 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Automotive Engineering (182 citations), Control and Systems Engineering (88 citations), Transportation (14 citations), Electrical and Electronic Engineering (119 citations) and Computer Vision and Pattern Recognition (33 citations). Sangjae Bae has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Scott Moura, David Isele, Francesco Borrelli, Yeojun Kim, Jacopo Guanetti, Teng Zeng, Soomin Woo, Evangelos A. Theodorou, Keuntaek Lee and John S. Baras. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Smart Grid, IEEE Transactions on Control Systems Technology and Applied Energy.

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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