Fu-En Wang

538 total citations
8 papers, 276 citations indexed

About

Fu-En Wang is a scholar working on Computer Vision and Pattern Recognition, Geology and Clinical Psychology. According to data from OpenAlex, Fu-En Wang has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Geology and 1 paper in Clinical Psychology. Recurrent topics in Fu-En Wang's work include Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Fu-En Wang is often cited by papers focused on Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Fu-En Wang collaborates with scholars based in Taiwan, United States and Saudi Arabia. Fu-En Wang's co-authors include Min Sun, Wei-Chen Chiu, Yi‐Hsuan Tsai, Peter Wonka, Chi‐Han Peng, Hung‐Kuo Chu, Min Sun, Shang‐Hong Lai and Chien-Yi Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Fu-En Wang

6 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu-En Wang Taiwan 5 240 89 64 59 45 8 276
Benjamin Huhle Germany 7 250 1.0× 116 1.3× 74 1.2× 64 1.1× 55 1.2× 16 325
V. V. Kniaz Russia 8 163 0.7× 76 0.9× 64 1.0× 37 0.6× 37 0.8× 40 250
Horst Wildenauer Austria 14 348 1.4× 197 2.2× 68 1.1× 38 0.6× 42 0.9× 21 395
Enliang Zheng United States 7 233 1.0× 94 1.1× 61 1.0× 26 0.4× 29 0.6× 11 266
Keyang Luo China 5 267 1.1× 61 0.7× 90 1.4× 43 0.7× 26 0.6× 8 293
Jizhou Gao United States 7 207 0.9× 58 0.7× 98 1.5× 58 1.0× 86 1.9× 11 289
Nikolay Savinov Switzerland 6 276 1.1× 136 1.5× 43 0.7× 27 0.5× 31 0.7× 7 332
Jan Frahm Denmark 5 218 0.9× 115 1.3× 42 0.7× 17 0.3× 36 0.8× 17 274
Yiliu Feng China 7 342 1.4× 76 0.9× 24 0.4× 105 1.8× 23 0.5× 12 388
Federico Camposeco Switzerland 7 217 0.9× 194 2.2× 83 1.3× 15 0.3× 19 0.4× 7 277

Countries citing papers authored by Fu-En Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fu-En Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-En Wang. 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 Fu-En Wang. The network helps show where Fu-En Wang may publish in the future.

Co-authorship network of co-authors of Fu-En Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-En Wang. A scholar is included among the top collaborators of Fu-En Wang 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 Fu-En Wang. Fu-En Wang 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
2.
Wang, Fu-En, Chien-Yi Wang, Min Sun, & Shang‐Hong Lai. (2023). MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14531–14538. 4 indexed citations
3.
Wang, Fu-En, et al.. (2022). BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for $360^{\circ }$ Depth Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–13. 11 indexed citations
4.
Wang, Fu-En, et al.. (2021). DillyDally: Overcome Your Procrastination via Social Network. 86–87.
5.
Wang, Fu-En, et al.. (2021). LED2-Net: Monocular 360° Layout Estimation via Differentiable Depth Rendering. 12951–12960. 29 indexed citations
6.
Wang, Fu-En, et al.. (2020). BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. 459–468. 117 indexed citations
7.
Wang, Fu-En, et al.. (2019). DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 3358–3367. 94 indexed citations
8.
Wang, Fu-En, et al.. (2019). Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation. 5880–5886. 21 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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