Qing Lyu

51 total papers · 1.2k total citations
25 papers, 652 citations indexed

About

Qing Lyu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qing Lyu has authored 25 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qing Lyu's work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and Topic Modeling (5 papers). Qing Lyu is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and Topic Modeling (5 papers). Qing Lyu collaborates with scholars based in United States, China and Australia. Qing Lyu's co-authors include Ge Wang, Hongming Shan, Chuang Niu, Christopher T. Whitlow, Josh Tan, Michael E. Zapadka, Kyle J. Myers, Janardhana Ponnatapura, Dan Roth and Hongming Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Medical Imaging.

In The Last Decade

Qing Lyu

23 papers receiving 643 citations

Hit Papers

Translating radiology rep... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Qing Lyu 279 220 148 142 90 25 652
Michalis Zervakis 214 0.8× 189 0.9× 80 0.5× 95 0.7× 89 1.0× 47 770
Tuyen Danh Pham 160 0.6× 167 0.8× 38 0.3× 378 2.7× 40 0.4× 36 720
Youngjin Yoo 387 1.4× 203 0.9× 46 0.3× 228 1.6× 102 1.1× 30 742
Zilong Hu 203 0.7× 234 1.1× 21 0.1× 133 0.9× 57 0.6× 24 635
Ruchi Singla 225 0.8× 245 1.1× 172 1.2× 53 0.4× 63 0.7× 13 748
Mohammad Amin Morid 179 0.6× 289 1.3× 80 0.5× 83 0.6× 124 1.4× 20 759
Shayan Shams 112 0.4× 218 1.0× 23 0.2× 73 0.5× 83 0.9× 35 627
Francisco Luna-Perejón 182 0.7× 183 0.8× 40 0.3× 162 1.1× 130 1.4× 34 622
Seyed Sadegh Mohseni Salehi 265 0.9× 172 0.8× 10 0.1× 246 1.7× 83 0.9× 15 624
Talha Burak Alakuş 375 1.3× 319 1.4× 60 0.4× 92 0.6× 28 0.3× 26 784

Countries citing papers authored by Qing Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lyu. A scholar is included among the top collaborators of Qing Lyu 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 Qing Lyu. Qing Lyu 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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