Daniel Stanley Tan

678 total citations
37 papers, 460 citations indexed

About

Daniel Stanley Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Daniel Stanley Tan has authored 37 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Daniel Stanley Tan's work include Advanced Neural Network Applications (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Daniel Stanley Tan is often cited by papers focused on Advanced Neural Network Applications (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Daniel Stanley Tan collaborates with scholars based in Taiwan, Philippines and Netherlands. Daniel Stanley Tan's co-authors include Kai‐Lung Hua, Wei-Yang Chen, Jun-Cheng Chen, Wen-Huang Cheng, Wei-Chao Chen, Yung-Yao Chen, M. Tanveer, Divina Amalin, Jyh‐Cheng Chen and Ann Franchesca Laguna and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Daniel Stanley Tan

35 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Stanley Tan Taiwan 9 279 170 59 40 31 37 460
Yoshihiro Mitani Japan 7 222 0.8× 146 0.9× 59 1.0× 36 0.9× 44 1.4× 35 476
Fazhi He China 8 259 0.9× 91 0.5× 59 1.0× 19 0.5× 21 0.7× 10 385
Ali Abdullah Yahya China 11 216 0.8× 104 0.6× 81 1.4× 14 0.3× 20 0.6× 24 394
Huihuang Zhao China 10 210 0.8× 70 0.4× 53 0.9× 58 1.4× 23 0.7× 52 392
Yalong Bai China 9 457 1.6× 354 2.1× 57 1.0× 25 0.6× 10 0.3× 27 655
Alvin Wan United States 5 369 1.3× 234 1.4× 43 0.7× 14 0.3× 37 1.2× 11 529
Eric Arazo Ireland 6 264 0.9× 380 2.2× 31 0.5× 21 0.5× 27 0.9× 10 568
Jiafa Mao China 13 173 0.6× 115 0.7× 22 0.4× 18 0.5× 34 1.1× 50 365

Countries citing papers authored by Daniel Stanley Tan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stanley Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Stanley Tan

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

All Works

20 of 20 papers shown
2.
Noel, Joseph P., Christopher Monterola, & Daniel Stanley Tan. (2024). Improving recommendation diversity without retraining from scratch. International Journal of Data Science and Analytics. 20(2). 1151–1160. 3 indexed citations
3.
Tan, Daniel Stanley, et al.. (2023). MCGAN: mask controlled generative adversarial network for image retargeting. Neural Computing and Applications. 35(14). 10497–10509. 3 indexed citations
4.
Tan, Daniel Stanley, et al.. (2023). MACnet: Mask augmented counting network for class-agnostic counting. Pattern Recognition Letters. 169. 75–80. 3 indexed citations
5.
Tan, Daniel Stanley, et al.. (2023). ConCoNet: Class-agnostic counting with positive and negative exemplars. Pattern Recognition Letters. 171. 148–154. 2 indexed citations
6.
Tan, Daniel Stanley, et al.. (2023). Language Modeling in Logistics: Customer Calling Prediction. 2 indexed citations
7.
Tan, Daniel Stanley, et al.. (2021). Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image. IEEE Transactions on Multimedia. 23. 2245–2258. 23 indexed citations
8.
Chen, Wen‐Yin, et al.. (2021). Perspective Preserving Style Transfer for Interior Portraits. IEEE Access. 9. 7033–7042. 4 indexed citations
9.
Tan, Daniel Stanley, et al.. (2021). Controllable and Identity-Aware Facial Attribute Transformation. IEEE Transactions on Cybernetics. 52(6). 4825–4836. 7 indexed citations
11.
Tan, Daniel Stanley, et al.. (2021). Demystifying data and AI for manufacturing: case studies from a major computer maker. APSIPA Transactions on Signal and Information Processing. 10(1). 4 indexed citations
12.
Tan, Daniel Stanley, et al.. (2020). Enabling Artistic Control Over Pattern Density and Stroke Strength. IEEE Transactions on Multimedia. 23. 2273–2285. 8 indexed citations
13.
Tan, Daniel Stanley, et al.. (2019). Segmenting Hepatic Lesions Using Residual Attention U-Net with an Adaptive Weighted Dice Loss. 3322–3326. 22 indexed citations
14.
Tan, Daniel Stanley, et al.. (2019). Faster, Smaller, and Simpler Model for Multiple Facial Attributes Transformation. IEEE Access. 7. 36400–36412. 4 indexed citations
15.
Tan, Daniel Stanley, et al.. (2019). Depth Map Upsampling via Multi-Modal Generative Adversarial Network. Sensors. 19(7). 1587–1587. 7 indexed citations
16.
Tan, Daniel Stanley, et al.. (2019). Single-Image Depth Inference Using Generative Adversarial Networks. Sensors. 19(7). 1708–1708. 7 indexed citations
17.
Tan, Daniel Stanley, Wei-Yang Chen, & Kai‐Lung Hua. (2018). DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks. IEEE Transactions on Image Processing. 27(5). 2408–2419. 72 indexed citations
18.
Shan, Ning, et al.. (2018). Photobomb Defusal Expert: Automatically Remove Distracting People From Photos. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(5). 717–727. 6 indexed citations
19.
Tan, Daniel Stanley, et al.. (2017). AuToDiDAC: Automated Tool for Disease Detection and Assessment for Cacao Black Pod Rot. Crop Protection. 103. 98–102. 21 indexed citations
20.
Tan, Daniel Stanley, et al.. (2014). Automatic rating of movies using an arousal curve extracted from video features. 1–6. 3 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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