Wulong Liu

1.3k total citations · 1 hit paper
39 papers, 589 citations indexed

About

Wulong Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Wulong Liu has authored 39 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 8 papers in Automotive Engineering. Recurrent topics in Wulong Liu's work include Reinforcement Learning in Robotics (12 papers), Nonlinear Partial Differential Equations (8 papers) and VLSI and FPGA Design Techniques (7 papers). Wulong Liu is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Nonlinear Partial Differential Equations (8 papers) and VLSI and FPGA Design Techniques (7 papers). Wulong Liu collaborates with scholars based in China, Sweden and United States. Wulong Liu's co-authors include Guowei Dai, Jianye Hao, Patrick Winkert, Dong Li, Zhen Xiao, Jun Wang, Hangyu Mao, Zhengchao Zhang, Jun Luo and Nikolaos S. Papageorgiou and has published in prestigious journals such as Machine Learning, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Wulong Liu

38 papers receiving 559 citations

Hit Papers

Existence and multiplicity results for double phase problem 2018 2026 2020 2023 2018 50 100 150

Peers

Wulong Liu
Comparison fields: 5 of 63
  • Applied Mathematics 314
  • Computational Theory and Mathematics 311
  • Artificial Intelligence 101
  • Electrical and Electronic Engineering 87
  • Mathematical Physics 77
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Aneel Tanwani France
G. Lallement United States
Eulalia Martı́nez Spain
Dandan Zhang China
Bao Wang China
Juliang Yin China
Dandan Zhang China
Hassane Bouzahir Morocco View profile →
Citations per field, relative to Wulong Liu
Wulong Liu · 1×
Citations per year, relative to Wulong Liu
Wulong Liu · 1×

Countries citing papers authored by Wulong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wulong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wulong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wulong Liu. A scholar is included among the top collaborators of Wulong Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wulong Liu. Wulong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 26
2 3
3 1
4 1
5 4
6 5
7 12
8 18
9
Adaptive Online Packing-guided Search for POMDPs
4
10 29
11 15
12
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework
3
13 2
14 1
15 28
16
Existence and multiplicity results for double phase problem breakdown →
199
17
Towards Comprehensive Maneuver Decisions for Lane Change Using Reinforcement Learning
5
18 7
19 3
20 3

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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