Sen Wang

9.1k citations
168 papers · 4.3k · 3 hit papers · h-index 35

Impact in

Papers in

Sen Wang

156 papers receiving 4.2k citations

Sen Wang's Hit Papers

Deep Reinforcement Learning: A Survey 2022 · 416 citations
4160+4+8Years since publication100200300400

Peers

Sen Wang
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 1.4k
  • Aerospace Engineering 1.5k
  • Geology 223
  • Hardware and Architecture 263
  • Ocean Engineering 443
Replace Myoungho Sunwoo with:
Myoungho Sunwoo South Korea
Bernhard Rinner Austria
Dongbing Gu United Kingdom
Zhenbao Liu China
A. Howard United States
Xinming Huang United States
Alberto Broggi Italy
Mehrdad Dianati United Kingdom
Alberto Sanfeliu Spain
Dominique Gruyer France
Sen Wang relative to Myoungho Sunwoo South Korea Myoungho Sunwoo's profile →
Citations per field
00.5×6.3×
Myoungho Sunwoo · 1×
Citations per year

Countries citing papers authored by Sen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Reinforcement Learning: A Survey
Hit paper breakdown →
2022416
2
UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning
Hit paper breakdown →
2018351
3
VTR 7.0
Hit paper breakdown →
2014285
4 2020185
5 2017149
6 2018147
7 2016110
8 2020110
9 202196
10 201993
11 201893
12 202093
13 201575
14 202268
15 202066
16 201162
17 201560
18 201559
19 201858
20 201958

About Sen Wang

Sen Wang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 168 papers that have together received 4.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (51 papers), Underwater Vehicles and Communication Systems (23 papers), Indoor and Outdoor Localization Technologies (22 papers), Advanced Vision and Imaging (18 papers), Robotic Path Planning Algorithms (15 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Neural Network Applications (10 papers) and 3D Surveying and Cultural Heritage (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Aerospace Engineering (1.5k citations), Geology (223 citations), Hardware and Architecture (263 citations) and Ocean Engineering (443 citations). Sen Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Dongbing Gu, Ruihao Li, Yvan Pétillot, Niki Trigoni, Zhiqiang Long, Huosheng Hu, Ziyang Hong, Hongkai Wen, Cheng‐Xiang Wang and Ronald Clark. Their work appears in journals such as The International Journal of Robotics Research, IEEE Communications Magazine, IEEE Access, IEEE Robotics and Automation Letters and China Communications.

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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