Mei Si

1.2k total citations
44 papers, 569 citations indexed

About

Mei Si is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Mei Si has authored 44 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Social Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Mei Si's work include Artificial Intelligence in Games (11 papers), Multi-Agent Systems and Negotiation (8 papers) and Social Robot Interaction and HRI (8 papers). Mei Si is often cited by papers focused on Artificial Intelligence in Games (11 papers), Multi-Agent Systems and Negotiation (8 papers) and Social Robot Interaction and HRI (8 papers). Mei Si collaborates with scholars based in United States, Canada and Germany. Mei Si's co-authors include Owen Lockwood, David V. Pynadath, Stacy Marsella, Xinghua Liu, Wenjun Chen, Nathan Schurr, Paul S. Rosenbloom, Paul Scerri, Milind Tambe and Yuzheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Cognitive Science.

In The Last Decade

Mei Si

39 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mei Si United States	12	293	93	80	73	73	44	569
Hasan Mahmud Bangladesh	13	162 0.6×	38 0.4×	38 0.5×	94 1.3×	80 1.1×	49	537
Nadia Mana Italy	12	172 0.6×	106 1.1×	51 0.6×	99 1.4×	143 2.0×	32	486
Sander Bakkes Netherlands	15	546 1.9×	69 0.7×	285 3.6×	45 0.6×	92 1.3×	48	856
Ying Luo China	11	187 0.6×	70 0.8×	53 0.7×	42 0.6×	30 0.4×	58	693
Curry Guinn United States	11	308 1.1×	18 0.2×	42 0.5×	135 1.8×	33 0.5×	35	582
Francisco Montero Spain	16	166 0.6×	26 0.3×	107 1.3×	39 0.5×	27 0.4×	65	775
António Teixeira Portugal	17	305 1.0×	24 0.3×	26 0.3×	56 0.8×	190 2.6×	141	1.0k
Paolo Petta Austria	9	181 0.6×	15 0.2×	79 1.0×	119 1.6×	103 1.4×	31	417
Ravinder Ahuja India	12	246 0.8×	27 0.3×	43 0.5×	35 0.5×	70 1.0×	22	536
Arnav Jhala United States	15	533 1.8×	34 0.4×	272 3.4×	52 0.7×	43 0.6×	70	789

Countries citing papers authored by Mei Si

Since Specialization

Citations

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

Fields of papers citing papers by Mei Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Si

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Si, Mei, et al.. (2024). Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction. SHILAP Revista de lepidopterología. 6(4). 2435–2446.

Huang, Chao, et al.. (2024). Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment. 516–521.

Lockwood, Owen & Mei Si. (2022). A Review of Uncertainty for Deep Reinforcement Learning. arXiv (Cornell University). 4 indexed citations

Si, Mei, et al.. (2020). SpeakEasy: Browser-based automated multi-language intonation training. The Journal of the Acoustical Society of America. 148(4_Supplement). 2697–2697. 1 indexed citations

Lockwood, Owen & Mei Si. (2020). Reinforcement Learning with Quantum Variational Circuit. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16(1). 245–251. 86 indexed citations

Si, Mei, et al.. (2016). Establish Trust and Express Attitude for a Non-Humanoid Robot.. Cognitive Science. 1 indexed citations

Si, Mei, et al.. (2016). Using Facial Expression and Body Language to Express Attitude for Non-Humanoid Robot: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1457–1458. 4 indexed citations

Si, Mei, et al.. (2016). Visualisasi Gerak Peluru Menggunakan MATLAB. 2 indexed citations

Si, Mei. (2015). A Virtual Space for Children to Meet and Practice Chinese. International Journal of Artificial Intelligence in Education. 25(2). 271–290. 11 indexed citations

10.

Si, Mei. (2015). Should I Stop Thinking About It: A Computational Exploration of Reappraisal Based Emotion Regulation. Advances in Human-Computer Interaction. 2015. 1–10. 1 indexed citations

11.

Si, Mei & Stacy Marsella. (2014). Encoding Theory of Mind in Character Design for Pedagogical Interactive Narrative. Advances in Human-Computer Interaction. 2014. 1–10. 7 indexed citations

12.

Miller, Lynn C., John L. Christensen, Paul Robert Appleby, et al.. (2014). Socially Optimized Learning in Virtual Environments (SOLVE): Developing, Evaluating, and Disseminating a Game HIV Prevention Intervention Nationally Over the Web. 3(1S). 4–4. 1 indexed citations

13.

Si, Mei, et al.. (2013). Adaptive Storytelling Through User Understanding. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(1). 128–134. 4 indexed citations

14.

Si, Mei, et al.. (2012). Towards Interest And Engagement, A Framework For Adaptive Storytelling. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(2). 63–68. 7 indexed citations

15.

Sheldon, Lee, et al.. (2012). Foreign language learning in immersive virtual environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8289. 828902–828902. 21 indexed citations

16.

Si, Mei, Stacy Marsella, & David V. Pynadath. (2010). Evaluating directorial control in a character-centric interactive narrative framework. Adaptive Agents and Multi-Agents Systems. 1289–1296. 11 indexed citations

17.

Si, Mei, Stacy Marsella, & Mark Riedl. (2008). Interactive Drama Authoring with Plot and Character: An Intelligent System that Fosters Creativity.. National Conference on Artificial Intelligence. 75–81. 3 indexed citations

18.

Si, Mei, Stacy Marsella, & Mark Riedl. (2008). Integrating Story-Centric and Character-Centric Processes for Authoring Interactive Drama. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4(1). 203–208. 7 indexed citations

19.

Si, Mei, Stacy Marsella, & David V. Pynadath. (2005). THESPIAN: An Architecture for Interactive Pedagogical Drama. 18(11S). 595–602. 36 indexed citations

20.

Scerri, Paul, David V. Pynadath, Paul S. Rosenbloom, et al.. (2003). A prototype infrastructure for distributed robot-agent-person teams. 433–440. 77 indexed citations

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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