Sen Wang

9.1k citations
173 papers · 5.0k · 4 hit papers · h-index 37

Impact in

Papers in

Sen Wang

162 papers receiving 4.8k citations

Sen Wang's Hit Papers

Deep Reinforcement Learning: A Survey 2022 · 425 citations
4250+4+8Years since publication100200300400

Peers

Sen Wang
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.5k
  • Aerospace Engineering 1.6k
  • Hardware and Architecture 299
  • Geology 231
  • Software 150
Replace Bernhard Rinner with:
Bernhard Rinner Austria
J. Zico Kolter United States
Oskar von Stryk Germany
Dave Ferguson United States
Luca Iocchi Italy
Steven L. Waslander Canada
Pedro U. Lima Portugal
Yan Zhuang China
Fazhi He China
Mehrdad Dianati United Kingdom
Sen Wang relative to Bernhard Rinner Austria Bernhard Rinner's profile →
Citations per field
00.5×5×10.2×
Bernhard Rinner · 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 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Safety Verification of Deep Neural Networks
Hit paper breakdown →
2017479
2
Deep Reinforcement Learning: A Survey
Hit paper breakdown →
2022425
3
UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning
Hit paper breakdown →
2018373
4
VTR 7.0
Hit paper breakdown →
2014291
5 2020202
6 2017156
7 2018150
8 2016117
9 2020114
10 201898
11 201997
12 202197
13 202097
14 201578
15 202068
16 202268
17 201167
18 201564
19 201860
20 201560

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 173 papers that have together received 5.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (54 papers), Underwater Vehicles and Communication Systems (24 papers), Indoor and Outdoor Localization Technologies (22 papers), Advanced Vision and Imaging (18 papers), Robotic Path Planning Algorithms (17 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 (1.5k citations), Aerospace Engineering (1.6k citations), Hardware and Architecture (299 citations), Geology (231 citations) and Software (150 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, Xiaowei Huang, Min Wu, Marta Kwiatkowska, Niki Trigoni, Zhiqiang Long, Huosheng Hu and Ziyang Hong. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters, China Communications, IEEE Access and IEEE Transactions on Industrial Electronics.

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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