Yin Ye

630 total citations
18 papers, 433 citations indexed

About

Yin Ye is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yin Ye has authored 18 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yin Ye's work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Evolutionary Algorithms and Applications (3 papers). Yin Ye is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Evolutionary Algorithms and Applications (3 papers). Yin Ye collaborates with scholars based in China, United States and Australia. Yin Ye's co-authors include Paolo Papotti, Ihab F. Ilyas, Xu Chu, Mourad Ouzzani, Nan Tang, Haiyan Chu, Zhibin Guo, Xisheng Guo, Daozhong Wang and Keke Hua and has published in prestigious journals such as IEEE Access, Physics Letters A and Computers and Electronics in Agriculture.

In The Last Decade

Yin Ye

17 papers receiving 421 citations

Peers

Yin Ye
Comparison fields: 5 of 89
  • Artificial Intelligence 181
  • Management Science and Operations Research 114
  • Plant Science 103
  • Soil Science 82
  • Information Systems 59
Replace Juan Frausto–Solís with:
Juan Frausto–Solís Mexico
Niketa Gandhi India
Proteek Chandan Roy United States
Jörg Lässig Germany
Nikolaos Antonopoulos Greece
Rohit Sinha India
Tawseef Ayoub Shaikh India
Elizabeth Tapia Argentina
Meinolf Sellmann United States
T. V. Vijay Kumar India
Juan Frausto–Solís Mexico View profile →
Citations per field, relative to Yin Ye
Yin Ye · 1×
Citations per year, relative to Yin Ye
Yin Ye · 1×

Countries citing papers authored by Yin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Ye

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 9
2 0
3 25
4 4
5 3
6 2
7 136
8 16
9 17
10 4
11 23
12 3
13 6
14 168
15
GPUMemSort: A High Performance Graphics Co-processors Sorting Algorithm for Large Scale In-Memory Data
9
16
Study on relationship between social support and prosocial tendencies among the left-home kids in primary school
1
17 6
18
An Epidemiological Study on the Hypertension and Cerebral Stroke in Ganzi Tibetan State
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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