Fuwen Tan

622 total citations
11 papers, 201 citations indexed

About

Fuwen Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Fuwen Tan has authored 11 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Fuwen Tan's work include Multimodal Machine Learning Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Fuwen Tan is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Fuwen Tan collaborates with scholars based in United States, Singapore and Hong Kong. Fuwen Tan's co-authors include Vicente Ordóñez, Song Feng, Benjamin J. Cohen, Connelly Barnes, Paola Cascante-Bonilla, Hui Huang, Minglun Gong, Daniel Cohen‐Or, Hao Zhang and Yanjun Qi and has published in prestigious journals such as ACM Transactions on Graphics, JMIR Formative Research and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Fuwen Tan

11 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fuwen Tan United States	7	173	47	28	19	18	11	201
Marcelo Bernardes Vieira Brazil	8	140 0.8×	45 1.0×	18 0.6×	9 0.5×	7 0.4×	52	187
Ivan Skorokhodov United States	8	192 1.1×	39 0.8×	39 1.4×	6 0.3×	12 0.7×	20	238
Toshikazu Wada Japan	7	168 1.0×	35 0.7×	8 0.3×	14 0.7×	11 0.6×	48	193
Ruojin Cai United States	5	90 0.5×	28 0.6×	15 0.5×	25 1.3×	6 0.3×	9	128
Dogyoon Lee South Korea	5	152 0.9×	70 1.5×	23 0.8×	6 0.3×	19 1.1×	8	195
Sungheon Park South Korea	6	117 0.7×	28 0.6×	11 0.4×	10 0.5×	4 0.2×	10	139
Carlos Esteves United States	6	157 0.9×	18 0.4×	66 2.4×	40 2.1×	20 1.1×	13	206
Erika Lu United States	6	239 1.4×	59 1.3×	12 0.4×	13 0.7×	2 0.1×	9	268
Rıza Alp Güler United Kingdom	6	164 0.9×	12 0.3×	80 2.9×	8 0.4×	5 0.3×	9	189
Chuhui Xue Singapore	8	243 1.4×	56 1.2×	31 1.1×	10 0.5×	17 0.9×	10	284

Countries citing papers authored by Fuwen Tan

Since Specialization

Citations

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

Fields of papers citing papers by Fuwen Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuwen Tan

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

11 of 11 papers shown

1.

Liu, Li, et al.. (2025). Web-Based Video Platforms as Sources of Information on Body Image Dissatisfaction in Adolescents: Content and Quality Analysis of a Cross-Sectional Study. JMIR Formative Research. 9. e71652–e71652. 1 indexed citations

2.

Tan, Fuwen, Łukasz Dudziak, Shell Xu Hu, et al.. (2024). MobileQuant: Mobile-friendly Quantization for On-device Language Models. Edinburgh Research Explorer (University of Edinburgh). 9761–9771. 2 indexed citations

3.

Tan, Fuwen, et al.. (2021). Instance-level Image Retrieval using Reranking Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12085–12095. 62 indexed citations

4.

Cascante-Bonilla, Paola, Fuwen Tan, Yanjun Qi, & Vicente Ordóñez. (2020). Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.. 9 indexed citations

5.

Tan, Fuwen, Paola Cascante-Bonilla, Xiaoxiao Guo, et al.. (2019). Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. arXiv (Cornell University). 32. 2647–2657. 8 indexed citations

6.

Tan, Fuwen, Song Feng, & Vicente Ordóñez. (2019). Text2Scene: Generating Compositional Scenes From Textual Descriptions. 6703–6712. 55 indexed citations

7.

Tan, Fuwen, Song Feng, & Vicente Ordóñez. (2018). Text2Scene: Generating Abstract Scenes from Textual Descriptions.. arXiv (Cornell University). 6 indexed citations

8.

Tan, Fuwen, et al.. (2018). Where and Who? Automatic Semantic-Aware Person Composition. 1519–1528. 31 indexed citations

9.

Tan, Fuwen, et al.. (2017). FaceCollage. DR-NTU (Nanyang Technological University). 64–72. 4 indexed citations

10.

Tan, Fuwen, et al.. (2013). High-quality Kinect depth filtering for real-time 3D telepresence. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 1 indexed citations

11.

Huang, Hui, et al.. (2012). Field-guided registration for feature-conforming shape composition. ACM Transactions on Graphics. 31(6). 1–11. 22 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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