Shuo Han

67 papers receiving 1.2k citations

Shuo Han's Hit Papers

Multi-YOLOv8: An infrared moving small object detection model based on YOLOv8 for air vehicle 2024 · 63 citations
630+1Years since publication204060

Peers

Shuo Han
Comparison fields: 5 of 98
  • Computer Networks and Communications 315
  • Transportation 82
  • Control and Systems Engineering 276
  • Automotive Engineering 124
  • Artificial Intelligence 323
Replace Hui Yang with:
Hui Yang China
Bo Zhou China
Jérôme Le Ny Canada
Kyoung-Dae Kim South Korea
Gabriel A. D. Lopes Netherlands
Xiaolong Xu China
Tara Javidi United States
Jiyao An China
Jian-Yu Li China
Shuo Han relative to Hui Yang China Hui Yang's profile →
Citations per field
00.5×3.4×
Hui Yang · 1×
Citations per year

Countries citing papers authored by Shuo Han

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016193
2 2016142
3 201973
4 200869
5
Multi-YOLOv8: An infrared moving small object detection model based on YOLOv8 for air vehicle
Hit paper breakdown →
202463
6 201750
7 201646
8 202132
9 201529
10 202329
11 201428
12 201826
13 201726
14 202223
15 201023
16 202122
17 202320
18 202018
19 201916
20 201514

About Shuo Han

Shuo Han is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (10 papers), Transportation Planning and Optimization (8 papers), Smart Grid Security and Resilience (6 papers), Privacy-Preserving Technologies in Data (5 papers), Electric Vehicles and Infrastructure (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Astro and Planetary Science (4 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Computer Networks and Communications (315 citations), Transportation (82 citations), Control and Systems Engineering (276 citations), Automotive Engineering (124 citations) and Artificial Intelligence (323 citations). Shuo Han has collaborated with scholars based in United States, China and Canada. Frequent co-authors include George J. Pappas, Ufuk Topcu, Shahrokh Valaee, Geir E. Dullerud, Sayan Mitra, Jérôme Le Ny, Jorge Cortés, Fei Miao, John A. Stankovic and Richard M. Murray. Their work appears in journals such as IEEE Control Systems Letters, IEEE Transactions on Aerospace and Electronic Systems, Sensors, Measurement Science and Technology and IEEE Transactions on Automatic Control.

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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