Lili Yan

795 total citations
50 papers, 597 citations indexed

About

Lili Yan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Information Systems. According to data from OpenAlex, Lili Yan has authored 50 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 26 papers in Atomic and Molecular Physics, and Optics and 7 papers in Information Systems. Recurrent topics in Lili Yan's work include Quantum Information and Cryptography (29 papers), Quantum Computing Algorithms and Architecture (27 papers) and Quantum Mechanics and Applications (25 papers). Lili Yan is often cited by papers focused on Quantum Information and Cryptography (29 papers), Quantum Computing Algorithms and Architecture (27 papers) and Quantum Mechanics and Applications (25 papers). Lili Yan collaborates with scholars based in China, United States and Kazakhstan. Lili Yan's co-authors include Yan Chang, Shibin Zhang, Chunxiang Xu, Yuhua Sun, Shibin Zhang, Jina Kang, Xinhao Xu, Jian Li, Yuhua Sun and Jinxin Xiong and has published in prestigious journals such as Langmuir, Scientific Reports and Future Generation Computer Systems.

In The Last Decade

Lili Yan

44 papers receiving 554 citations

Peers

Lili Yan
Comparison fields: 5 of 69
  • Artificial Intelligence 497
  • Atomic and Molecular Physics, and Optics 425
  • Information Systems 35
  • Computer Vision and Pattern Recognition 23
  • Computer Networks and Communications 22
Replace Bogdan-Constantin Pîrvu with:
Bogdan-Constantin Pîrvu Romania
Dongyang Wang China
Giuseppe Sergioli Italy
Yoav Levine Israel
Junhua Liu China
Wai Hong Chan Hong Kong
Zhiwei Sun China
Sanjoy Mahajan United States
Gaofeng Luo China
Bogdan-Constantin Pîrvu Romania View profile →
Citations per field, relative to Lili Yan
Lili Yan · 1×
Citations per year, relative to Lili Yan
Lili Yan · 1×

Countries citing papers authored by Lili Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lili Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Yan. A scholar is included among the top collaborators of Lili Yan 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 Lili Yan. Lili Yan 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 0
2 0
3 1
4 1
5 4
6 6
7 0
8 22
9 7
10 5
11 6
12 1
13 18
14 6
15 33
16 24
17 8
18 66
19 10
20 1

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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