Yanan Yu

1.2k total citations
66 papers, 864 citations indexed

About

Yanan Yu is a scholar working on Artificial Intelligence, Marketing and Management Information Systems. According to data from OpenAlex, Yanan Yu has authored 66 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Marketing and 8 papers in Management Information Systems. Recurrent topics in Yanan Yu's work include Supply Chain and Inventory Management (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Digital Marketing and Social Media (7 papers). Yanan Yu is often cited by papers focused on Supply Chain and Inventory Management (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Digital Marketing and Social Media (7 papers). Yanan Yu collaborates with scholars based in China, United States and Australia. Yanan Yu's co-authors include Xiaoliang Ma, Zexuan Zhu, Yong He, Yutao Qi, Xiaodong Li, Yayun Liu, Cheng-Shan Guo, Xuan Zhao, Anmin Zhu and Kun Tang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Geoscience and Remote Sensing and Optics Letters.

In The Last Decade

Yanan Yu

61 papers receiving 836 citations

Peers

Yanan Yu
Comparison fields: 5 of 133
  • Artificial Intelligence 249
  • Computational Theory and Mathematics 196
  • Marketing 75
  • Atomic and Molecular Physics, and Optics 70
  • Strategy and Management 68
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Citations per field, relative to Yanan Yu
Yanan Yu · 1×
Citations per year, relative to Yanan Yu
Yanan Yu · 1×

Countries citing papers authored by Yanan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Yu. A scholar is included among the top collaborators of Yanan 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 Yanan Yu. Yanan Yu 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 14
3 1
4 9
5 35
6 11
7 19
8 10
9
A Critical Review of Additive Manufacturing: An Innovation of Mass Customization
3
10 27
11 31
12 4
13 30
14 0
15 22
16 1
17
Constrained power plants unit loading optimization algorithm
1
18 3
19
QSOY: An expert system for protecting soybean against corn earworm
1
20
Effects of Chemical Treatments on Population Changes of Ditylenchus destructor and Responses of Panax ginseng
3

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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