Tiantian Gai
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Information Systems
- Co-authors
- Jian WuMingshuo CaoMi ZhouZhen ZhangFrancisco ChiclanaEnrique Herrera‐ViedmaYucheng DongGao-Feng Yu
- Topics
- Multi-Criteria Decision Making (9 papers)Opinion Dynamics and Social Influence (8 papers)Complex Network Analysis Techniques (6 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Tiantian Gai
16 papers receiving 404 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Management Science and Operations Research 229
- Artificial Intelligence 164
- Statistical and Nonlinear Physics 105
- Computational Theory and Mathematics 50
- Information Systems 39
Countries citing papers authored by Tiantian Gai
This map shows the geographic impact of Tiantian Gai'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 Tiantian Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiantian Gai more than expected).
Fields of papers citing papers by Tiantian Gai
This network shows the impact of papers produced by Tiantian Gai. 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 Tiantian Gai. The network helps show where Tiantian Gai may publish in the future.
Co-authorship network of co-authors of Tiantian Gai
This figure shows the co-authorship network connecting the top 25 collaborators of Tiantian Gai. A scholar is included among the top collaborators of Tiantian Gai 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 Tiantian Gai. Tiantian Gai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | Social network group decision making: Characterization, taxonomy, challenges and future directions from an AI and LLMs perspectivebreakdown → | 17 |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 17 | |
| 14 | 18 | |
| 15 | 32 | |
| 16 | 1 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Makingbreakdown → | 108 |
| 20 | 71 |
About Tiantian Gai
Tiantian Gai is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 20 papers that have together received 416 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Management Science and Operations Research (229 citations), Statistical and Nonlinear Physics (105 citations) and Artificial Intelligence (164 citations). Tiantian Gai has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Jian Wu, Mingshuo Cao, Mi Zhou, Zhen Zhang, Francisco Chiclana, Enrique Herrera‐Viedma, Yucheng Dong, Gao-Feng Yu, Hengjie Zhang and Yiling Yang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Information Fusion.
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.