Yongshan Ding

77 total papers · 928 total citations
24 papers, 320 citations indexed

About

Yongshan Ding is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Yongshan Ding has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yongshan Ding's work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (16 papers) and Quantum Mechanics and Applications (5 papers). Yongshan Ding is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (16 papers) and Quantum Mechanics and Applications (5 papers). Yongshan Ding collaborates with scholars based in United States, China and Netherlands. Yongshan Ding's co-authors include Frederic T. Chong, Song Han, Hanrui Wang, Margaret Martonosi, Pranav Gokhale, Zirui Li, Martin Suchara, Jiaqi Gu, Teague Tomesh and David Z. Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Computer.

In The Last Decade

Yongshan Ding

22 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Yongshan Ding 275 106 63 49 26 24 320
Pranav Gokhale 317 1.2× 121 1.1× 61 1.0× 77 1.6× 30 1.2× 21 351
Kaitlin N. Smith 271 1.0× 86 0.8× 65 1.0× 58 1.2× 47 1.8× 33 322
Madita Willsch 305 1.1× 92 0.9× 28 0.4× 87 1.8× 29 1.1× 18 363
Alexander McCaskey 230 0.8× 87 0.8× 41 0.7× 47 1.0× 46 1.8× 19 279
Diego García-Martín 268 1.0× 127 1.2× 22 0.3× 46 0.9× 11 0.4× 13 313
N. Khammassi 278 1.0× 151 1.4× 72 1.1× 55 1.1× 38 1.5× 29 344
Abdullah Ash Saki 275 1.0× 64 0.6× 111 1.8× 80 1.6× 64 2.5× 31 346
Seiichiro Tani 197 0.7× 70 0.7× 53 0.8× 80 1.6× 45 1.7× 36 262
Lukas Burgholzer 304 1.1× 65 0.6× 95 1.5× 89 1.8× 59 2.3× 44 342
Natalie C. Brown 289 1.1× 163 1.5× 49 0.8× 67 1.4× 9 0.3× 13 332

Countries citing papers authored by Yongshan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yongshan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongshan Ding

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