Lifang Dai

467 citations
11 papers · 385 indexed · 1 hit paper · h-index 5
Topics
Matrix Theory and Algorithms (10 papers)Advanced Optimization Algorithms Research (7 papers)Numerical methods for differential equations (3 papers)
Partner nations
ChinaSpainUnited States

In The Last Decade

Lifang Dai

11 papers receiving 375 citations

Hit Papers

A minimum adjustment cost feedback mechanism based consen...20172026202020232017100200300

Peers

Lifang Dai
Comparison fields: 5 of 68
  • Management Science and Operations Research 227
  • Artificial Intelligence 146
  • Computational Theory and Mathematics 122
  • Statistical and Nonlinear Physics 90
  • Numerical Analysis 45
Replace Zeyuan Allen Zhu with:
Zeyuan Allen Zhu United States
Wilhelm Rödder Germany
Deeparnab Chakrabarty United States
A.J.J. Talman Netherlands
Sha Wang China
Peter Spreij Netherlands
Ankur A. Kulkarni India
Ashraf Al-Quran Saudi Arabia
Vladimir Gurvich United States
Akihiko Takahashi Japan
Lifang Dai relative to Zeyuan Allen Zhu United States Zeyuan Allen Zhu's profile →
Citations per field
00.5×5.4×
Zeyuan Allen Zhu · 1×
Citations per year

Countries citing papers authored by Lifang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lifang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifang Dai

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trustbreakdown →
315
5 3
6 6
7 1
8 5
9 1
10 16
11 32

About Lifang Dai

Lifang Dai is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (10 papers), Advanced Optimization Algorithms Research (7 papers) and Numerical methods for differential equations (3 papers). The work is most often cited by research in Management Science and Operations Research (227 citations), Computational Mathematics (10 citations) and Numerical Analysis (45 citations). Lifang Dai has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Hamido Fujita, Francisco Chiclana, Enrique Herrera‐Viedma, Jian Wu and Yonghong Shen. Their work appears in journals such as Information Fusion, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026