Lasheng Yu

62 total papers · 968 total citations
33 papers, 553 citations indexed

About

Lasheng Yu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lasheng Yu has authored 33 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Lasheng Yu's work include Auction Theory and Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Spam and Phishing Detection (3 papers). Lasheng Yu is often cited by papers focused on Auction Theory and Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Spam and Phishing Detection (3 papers). Lasheng Yu collaborates with scholars based in China, United States and Japan. Lasheng Yu's co-authors include Majjed Al-Qatf, Kamal Al‐Sabahi, Mohammed Al‐Habib, Xu Wu, Yang Yu, Mudasir Ahmad Wani, Muhammad Asim, Xiaopeng Zheng, Farida Mohsen and Renjie Liu and has published in prestigious journals such as IEEE Access, Artificial Intelligence Review and Soft Computing.

In The Last Decade

Lasheng Yu

29 papers receiving 513 citations

Hit Papers

Deep Learning Approach Co... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lasheng Yu 355 341 175 96 62 33 553
Saleh Alshomrani 392 1.1× 248 0.7× 104 0.6× 108 1.1× 81 1.3× 38 665
Jiqiang Liu 294 0.8× 396 1.2× 175 1.0× 152 1.6× 37 0.6× 46 590
Alwi M. Bamhdi 358 1.0× 417 1.2× 195 1.1× 100 1.0× 30 0.5× 26 695
Ons Aouedi 411 1.2× 400 1.2× 99 0.6× 109 1.1× 45 0.7× 22 669
Matthew Jagielski 470 1.3× 129 0.4× 129 0.7× 78 0.8× 37 0.6× 19 612
Pedro Miguel Sánchez Sánchez 360 1.0× 287 0.8× 178 1.0× 162 1.7× 42 0.7× 41 634
Veenu Mangat 312 0.9× 271 0.8× 99 0.6× 155 1.6× 33 0.5× 34 572
LiWu Chang 553 1.6× 328 1.0× 143 0.8× 83 0.9× 101 1.6× 26 683
D. V. L. N. Somayajulu 216 0.6× 234 0.7× 98 0.6× 226 2.4× 47 0.8× 53 527
Mohammed M. Alani 351 1.0× 379 1.1× 247 1.4× 208 2.2× 67 1.1× 46 655

Countries citing papers authored by Lasheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lasheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasheng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lasheng Yu. A scholar is included among the top collaborators of Lasheng Yu 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 Lasheng Yu. Lasheng Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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