Hua Ai

21 total papers · 500 total citations
17 papers, 245 citations indexed

About

Hua Ai is a scholar working on Artificial Intelligence, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Hua Ai has authored 17 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Developmental and Educational Psychology. Recurrent topics in Hua Ai's work include Speech and dialogue systems (13 papers), Topic Modeling (10 papers) and Multi-Agent Systems and Negotiation (6 papers). Hua Ai is often cited by papers focused on Speech and dialogue systems (13 papers), Topic Modeling (10 papers) and Multi-Agent Systems and Negotiation (6 papers). Hua Ai collaborates with scholars based in United States and Germany. Hua Ai's co-authors include Diane Litman, Joel Tetreault, Fuliang Weng, Amruta Purandare, Mihai Rotaru, Kate Forbes-Riley, Dan Bohus, Antoine Raux, Maxine Eskénazi and Carolyn Penstein Rosé and has published in prestigious journals such as Natural Language Engineering, Meeting of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

In The Last Decade

Hua Ai

16 papers receiving 215 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Ai 199 34 30 29 22 17 245
Pierre-Yves Oudeyer 98 0.5× 23 0.7× 29 1.0× 39 1.3× 23 1.0× 21 235
Bradley A. Goodman 159 0.8× 14 0.4× 30 1.0× 16 0.6× 15 0.7× 18 207
Borhan Samei 171 0.9× 12 0.4× 52 1.7× 57 2.0× 15 0.7× 16 288
Mathias Sablé-Meyer 111 0.6× 26 0.8× 63 2.1× 7 0.2× 18 0.8× 15 267
Severin Klingler 161 0.8× 40 1.2× 68 2.3× 111 3.8× 14 0.6× 16 276
Nathaniel Blanchard 51 0.3× 21 0.6× 32 1.1× 41 1.4× 14 0.6× 21 180
Rachael Tatman 176 0.9× 40 1.2× 9 0.3× 14 0.5× 10 0.5× 14 290
Guy Gouardères 76 0.4× 46 1.4× 48 1.6× 45 1.6× 23 1.0× 10 156
Federico Peinado 176 0.9× 23 0.7× 26 0.9× 6 0.2× 17 0.8× 25 247
Amruta Purandare 234 1.2× 50 1.5× 12 0.4× 12 0.4× 50 2.3× 13 292

Countries citing papers authored by Hua Ai

Since Specialization
Citations

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

Fields of papers citing papers by Hua Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Ai

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

All Works

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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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