Xusheng Luo

620 citations
26 papers · 358 · h-index 10

Impact in

Papers in

Xusheng Luo

23 papers receiving 350 citations

Peers

Xusheng Luo
Comparison fields: 5 of 59
  • Artificial Intelligence 268
  • Computer Vision and Pattern Recognition 95
  • Computational Theory and Mathematics 52
  • Software 11
  • Information Systems 57
Replace Shenkai Gu with:
Shenkai Gu China
Jaime Carbonell United States
Cheng Ji China
Kimia Bazargan Lari Iran
Jiaxing Zhang China
Douglas Aberdeen Australia
Sarah Vluymans Belgium
Kai Ye China
Matthias Reif Germany
Jingwei Cheng China
Xusheng Luo relative to Shenkai Gu China Shenkai Gu's profile →
Citations per field
00.5×4.3×
Shenkai Gu · 1×
Citations per year

Countries citing papers authored by Xusheng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xusheng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 202043
3 202141
4 202235
5 201920
6 202118
7 201914
8 202114
9 202013
10 20249
11 20219
12 20199
13 20208
14 20225
15 20214
16 20184
17 20194
18 20152
19 20202
20 20211

About Xusheng Luo

Xusheng Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Control and Systems Engineering and Computer Networks and Communications, having authored 26 papers that have together received 358 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Robotic Path Planning Algorithms (8 papers), Formal Methods in Verification (7 papers), Advanced Graph Neural Networks (4 papers), Logic, Reasoning, and Knowledge (4 papers), AI-based Problem Solving and Planning (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (268 citations), Computer Vision and Pattern Recognition (95 citations), Computational Theory and Mathematics (52 citations), Software (11 citations) and Information Systems (57 citations). Xusheng Luo has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Michael M. Zavlanos, Kenny Q. Zhu, Feng-Li Lin, Yiannis Kantaros, Keping Yang, Jing‐Hang Wu, Wenwu Ou, Miroslav Pajić, Yu Gong and Luxin Liu. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, ACM Transactions on Cyber-Physical Systems, Advanced Engineering Informatics and Experimental Gerontology.

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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