Anh Thai

590 total citations
12 papers, 344 citations indexed

About

Anh Thai is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Anh Thai has authored 12 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Anh Thai's work include Social and Intergroup Psychology (2 papers), Human Pose and Action Recognition (2 papers) and Cell Image Analysis Techniques (2 papers). Anh Thai is often cited by papers focused on Social and Intergroup Psychology (2 papers), Human Pose and Action Recognition (2 papers) and Cell Image Analysis Techniques (2 papers). Anh Thai collaborates with scholars based in United States, Australia and Canada. Anh Thai's co-authors include Jolanda Jetten, Sean C. Murphy, S. Alexander Haslam, Kelly S. Fielding, Matthew J. Hornsey, Janelle Jones, Tegan Cruwys, Lijuan Cui, Nyla R. Branscombe and Catherine Haslam and has published in prestigious journals such as PLoS ONE, Climatic Change and Frontiers in Psychology.

In The Last Decade

Anh Thai

12 papers receiving 338 citations

Peers

Anh Thai

SPS

SP

CP

GHP

HEALT

Christina Steindl Austria

Sandra Sittenthaler Austria

Melanie A. Sarge United States

Elizabeth S. Focella United States

Christopher F. Drescher United States

Clarissa Cricenti Italy

Susilo Wibisono Australia

André Luiz Alves Rabelo Brazil

Anneke Sools Netherlands

Sylvain Delouvée France

Christina Steindl Austria

Anh Thai

164 ×1.0

SPS

104 ×1.0

SP

49 ×0.7

CP

25 ×0.5

GHP

37 ×0.8

HEALT

Citations per year, relative to Anh Thai Anh Thai (= 1×) peers Christina Steindl

Countries citing papers authored by Anh Thai

Since Specialization

Citations

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

Fields of papers citing papers by Anh Thai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anh Thai

This figure shows the co-authorship network connecting the top 25 collaborators of Anh Thai. A scholar is included among the top collaborators of Anh Thai 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 Anh Thai. Anh Thai 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:

12 of 12 papers shown

1.

Huang, Zixuan, et al.. (2024). ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. 10061–10071. 7 indexed citations

2.

Brigg, Morgan, et al.. (2024). The conflict coaching challenge: design and evaluation of an online conflict coach. International Journal of Conflict Management. 36(2). 320–347. 1 indexed citations

3.

Huang, Zixuan, et al.. (2023). ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. 12912–12922. 9 indexed citations

4.

Thai, Anh, et al.. (2022). The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction. 209–218. 1 indexed citations

5.

Nguyen, Thanh, Vy Bui, Anh Thai, et al.. (2020). Virtual organelle self-coding for fluorescence imaging via adversarial learning. Journal of Biomedical Optics. 25(9). 5 indexed citations

6.

Thai, Anh, et al.. (2019). Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. 14. 6229–6231. 2 indexed citations

7.

Fielding, Kelly S., et al.. (2019). Using ingroup messengers and ingroup values to promote climate change policy. Climatic Change. 158(2). 181–199. 71 indexed citations

8.

Nguyen, Thanh, et al.. (2019). Autofocusing of fluorescent microscopic images through deep learning convolutional neural networks. W3A.32–W3A.32. 3 indexed citations

9.

Bastian, Brock, Jolanda Jetten, Anh Thai, & Niklas K. Steffens. (2018). Shared Adversity Increases Team Creativity Through Fostering Supportive Interaction. Frontiers in Psychology. 9. 2309–2309. 21 indexed citations

10.

Thai, Anh, et al.. (2018). Construction of an Inexpensive Anechoic Chamber and Its Applications in Undergraduate Research [Education Corner]. IEEE Antennas and Propagation Magazine. 60(4). 102–112. 1 indexed citations

11.

Greenaway, Katharine H., Anh Thai, S. Alexander Haslam, & Sean C. Murphy. (2016). Spaces That Signal Identity Improve Workplace Productivity. Journal of Personnel Psychology. 15(1). 35–43. 8 indexed citations

12.

Jetten, Jolanda, Nyla R. Branscombe, S. Alexander Haslam, et al.. (2015). Having a Lot of a Good Thing: Multiple Important Group Memberships as a Source of Self-Esteem. PLoS ONE. 10(5). e0124609–e0124609. 215 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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