Tinglin Huang

931 total citations
8 papers, 236 citations indexed

About

Tinglin Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tinglin Huang has authored 8 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Tinglin Huang's work include Domain Adaptation and Few-Shot Learning (3 papers), Face and Expression Recognition (2 papers) and Face recognition and analysis (2 papers). Tinglin Huang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Face and Expression Recognition (2 papers) and Face recognition and analysis (2 papers). Tinglin Huang collaborates with scholars based in United States, China and India. Tinglin Huang's co-authors include Yun Fu, Jie Tang, Yuxiao Dong, Wenzheng Feng, Zhen Yang, Ming Ding, Xinyu Wang, Derek Hoiem, Evgeny Kharlamov and Brendan J. Frey and has published in prestigious journals such as npj Digital Medicine and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Tinglin Huang

6 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tinglin Huang United States 5 131 118 100 18 14 8 236
Jiayu Song China 10 153 1.2× 129 1.1× 47 0.5× 17 0.9× 10 0.7× 23 296
Daniel Beck Australia 8 304 2.3× 62 0.5× 45 0.5× 14 0.8× 15 1.1× 29 365
Sheng Zhou China 9 141 1.1× 46 0.4× 63 0.6× 18 1.0× 18 1.3× 24 195
Yifan Chen China 10 146 1.1× 79 0.7× 160 1.6× 26 1.4× 19 1.4× 26 246
Tongtao Zhang United States 10 155 1.2× 66 0.6× 31 0.3× 16 0.9× 10 0.7× 17 234
Yunshan Ma Singapore 12 223 1.7× 172 1.5× 143 1.4× 9 0.5× 7 0.5× 28 370
Rama Kumar Pasumarthi United States 7 132 1.0× 100 0.8× 50 0.5× 16 0.9× 8 0.6× 14 205
Da Luo China 8 211 1.6× 46 0.4× 122 1.2× 31 1.7× 4 0.3× 12 307
Lingyun Song China 10 159 1.2× 120 1.0× 28 0.3× 6 0.3× 11 0.8× 25 257
Emmanouil Antonios Platanios United States 9 391 3.0× 157 1.3× 51 0.5× 6 0.3× 7 0.5× 18 449

Countries citing papers authored by Tinglin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tinglin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinglin Huang

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

All Works

8 of 8 papers shown
1.
Huang, Tinglin, et al.. (2025). STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images. npj Digital Medicine. 8(1). 659–659.
2.
Huang, Tinglin, Yuxiao Dong, Rex Ying, et al.. (2023). BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. 3057–3069. 4 indexed citations
3.
Feng, Wenzheng, et al.. (2022). GRAND+: Scalable Graph Random Neural Networks. Proceedings of the ACM Web Conference 2022. 3248–3258. 20 indexed citations
4.
Huang, Tinglin, Yuxiao Dong, Ming Ding, et al.. (2021). MixGCF. 665–674. 113 indexed citations
5.
Hoiem, Derek, et al.. (2012). A data driven method for feature transformation. 2010. 3314–3321. 14 indexed citations
6.
Fu, Yun & Tinglin Huang. (2006). Graph Embedded Analysis for Head Pose Estimation. 3–8. 78 indexed citations
7.
8.
Colmenarez, Antonio J., Brendan J. Frey, & Tinglin Huang. (2003). Embedded face and facial expression recognition. 1. 633–637. 7 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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