Ye Tian

13.6k citations
140 papers · 9.5k indexed · 13 hit papers · h-index 42
Topics
Advanced Multi-Objective Optimization Algorithms (88 papers)Metaheuristic Optimization Algorithms Research (84 papers)Evolutionary Algorithms and Applications (50 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsRenewable Energy

In The Last Decade

Ye Tian

129 papers receiving 9.4k citations

Hit Papers

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objecti...20142026201820222017201420172016202050010001.5k

Peers

Ye Tian
Comparison fields: 5 of 140
  • Computational Theory and Mathematics 6.9k
  • Artificial Intelligence 6.6k
  • Management Science and Operations Research 1.3k
  • Control and Systems Engineering 871
  • Industrial and Manufacturing Engineering 768
Replace Shengxiang Yang with:
Shengxiang Yang United Kingdom
Himanshu Jain India
Bernhard Sendhoff Germany
Carlos M. Fonseca Portugal
Aimin Zhou China
Miqing Li United Kingdom
Boyang Qu China
Marco Laumanns Switzerland
Tapabrata Ray Australia
Ye Tian relative to Shengxiang Yang United Kingdom Shengxiang Yang's profile →
Citations per field
00.5×1.5×
Shengxiang Yang · 1×
Citations per year

Countries citing papers authored by Ye Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ye Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Tian. A scholar is included among the top collaborators of Ye Tian 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 Ye Tian. Ye Tian 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 0
6 10
7 4
8 12
9 11
10 1
11 1
12 1
13 9
14 8
15 23
16 206
17 50
18 98
19
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimizationbreakdown →
291
20 12

About Ye Tian

Ye Tian is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 140 papers that have together received 9.5k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (88 papers), Metaheuristic Optimization Algorithms Research (84 papers) and Evolutionary Algorithms and Applications (50 papers). The work is most often cited by research in Computational Theory and Mathematics (6.9k citations), Artificial Intelligence (6.6k citations) and Management Science and Operations Research (1.3k citations). Ye Tian has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xingyi Zhang, Yaochu Jin, Ran Cheng, Cheng He, Kay Chen Tan, Fan Cheng, Yansen Su, Jianhua Xiao, Xin Yao and Tao Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Renewable Energy.

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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