Tiantian Gai: h-index, Total Citations, and Citation Map
Tiantian Gai's h-index is 14 (14 i10-index, 753+ total citations across 24+ publications) according to Google Scholar as of June 2026. Tiantian Gai is affiliated with Shanghai Maritime University.
Tiantian Gai is a researcher affiliated with Shanghai Maritime University, specializing in group decision making, social network analysis, large language models. Their work has been cited 753 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Tiantian Gai's Citation Metrics
Bibliometric impact based on 24 indexed publications.
- H-Index
- 14
- i10-Index
- 14
- Total Citations
- 753
- Citing Countries
- 17
As of June 2026.
Tiantian Gai has an h-index of 14 and 753 total citations across 24 publications, with research cited by institutions in 17 countries.
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Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making
2023169
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Tiantian Gai's research
Tiantian Gai is a researcher in group decision making, social network analysis and large language models at Shanghai Maritime University. Their work has been cited 753 times across 24 publications (h-index 14), according to Google Scholar.
Their most-cited work, “Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making” (2023), has accumulated 169 citations. Other influential works include “A joint feedback strategy for consensus in large-scale group decision making under social network” (2020) with 90 citations and “Social network group decision making: Characterization, taxonomy, challenges and future directions from an AI and LLMs perspective” (2025) with 79 citations.
Citations of Tiantian Gai's research come primarily from China, Spain and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
