Xinye Cai

3.1k citations
59 papers · 2.2k indexed · 2 hit papers · h-index 23

Impact in

Papers in

Xinye Cai

57 papers receiving 2.2k citations

Hit Papers

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions 2019 · 272 citations
2722018202620202023100200300

Peers

Xinye Cai
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 1.5k
  • Artificial Intelligence 1.5k
  • Industrial and Manufacturing Engineering 211
  • Management Science and Operations Research 247
  • Ophthalmology 104
Replace Rafael Alcalá with:
Rafael Alcalá Spain
Ke Chen China
Zhenan He China
Abdelaziz I. Hammouri Jordan
Jesús Garcı́a Spain
Patrick Siarry France
Rehab Ali Ibrahim Egypt
Reza Akbari Iran
Ran Wang China
Xinye Cai relative to Rafael Alcalá Spain Rafael Alcalá's profile →
Citations per field
00.5×
Rafael Alcalá · 1×
Citations per year

Countries citing papers authored by Xinye Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xinye Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xinye Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xinye Cai Line = papers co-authored together Xinye Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20235
3 20227
4 202210
5 20220
6 20210
7 201913
8 201933
9 201882
10 201749
11 2017110
12 201664
13 201594
14 20152
15 20142
16 201325
17 201313
18
Evolutionary Approaches for Multi-Objective Next Release Problem
201211
19 20094
20 200813

About Xinye Cai

Xinye Cai is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (40 papers), Metaheuristic Optimization Algorithms Research (34 papers), Evolutionary Algorithms and Applications (13 papers), Optimal Experimental Design Methods (8 papers), Advanced Control Systems Optimization (5 papers), Retinal Imaging and Analysis (5 papers), Topology Optimization in Engineering (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.5k citations), Industrial and Manufacturing Engineering (211 citations), Management Science and Operations Research (247 citations) and Ophthalmology (104 citations). Xinye Cai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhun Fan, Wenji Li, Cai-Min Wei, Qingfu Zhang, Erik D. Goodman, Hui Li, Yi Fang, Han Huang, Kalyanmoy Deb and Yugen You. Their work appears in journals such as IEEE Transactions on Cybernetics, Soft Computing, IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Systems.

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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