Frederick Tung

1.5k total citations
21 papers, 667 citations indexed

About

Frederick Tung is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Frederick Tung has authored 21 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Frederick Tung's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Frederick Tung is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Frederick Tung collaborates with scholars based in Canada, Austria and Japan. Frederick Tung's co-authors include Greg Mori, David A. Clausi, John Zelek, James J. Little, Alexander Wong, Clarence W. de Silva, Lili Meng, Julien Valentin, Chaoqun Wang and Weiwei Wan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Frederick Tung

21 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frederick Tung Canada	12	454	249	162	76	57	21	667
Kai Briechle Germany	6	266 0.6×	190 0.8×	155 1.0×	72 0.9×	81 1.4×	9	613
Taotao Lai China	14	393 0.9×	245 1.0×	126 0.8×	46 0.6×	34 0.6×	46	697
Hedvig Sidenbladh Sweden	12	411 0.9×	336 1.3×	97 0.6×	79 1.0×	45 0.8×	19	708
Emilio Maggio United Kingdom	10	540 1.2×	282 1.1×	168 1.0×	33 0.4×	94 1.6×	17	699
Shiqiang Hu China	16	410 0.9×	295 1.2×	210 1.3×	78 1.0×	75 1.3×	100	787
Zhuqing Jiang China	15	311 0.7×	189 0.8×	192 1.2×	148 1.9×	141 2.5×	74	704
Chunxiao Fan China	12	433 1.0×	145 0.6×	83 0.5×	100 1.3×	110 1.9×	79	731
Yan Cui China	11	317 0.7×	147 0.6×	89 0.5×	66 0.9×	33 0.6×	32	606
Yigang Cen China	18	734 1.6×	255 1.0×	95 0.6×	70 0.9×	75 1.3×	114	1.1k

Countries citing papers authored by Frederick Tung

Since Specialization

Citations

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

Fields of papers citing papers by Frederick Tung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederick Tung

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

All Works

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20 of 20 papers shown

Rahimian, Elahe, et al.. (2023). DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. Bristol Research (University of Bristol). 5 indexed citations

Zhao, He, et al.. (2023). Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. 15783–15792. 3 indexed citations

Tung, Frederick, et al.. (2022). Heterogeneous Multi-Task Learning With Expert Diversity. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3093–3102. 9 indexed citations

Chang, Xiaobin, Frederick Tung, & Greg Mori. (2021). Learning Discriminative Prototypes with Dynamic Time Warping. 8391–8400. 19 indexed citations

Tung, Frederick & Greg Mori. (2018). Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 568–579. 96 indexed citations

Meng, Lili, Frederick Tung, James J. Little, Julien Valentin, & Clarence W. de Silva. (2018). Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. 18 indexed citations

Tung, Frederick & Greg Mori. (2018). CLIP-Q: Deep Network Compression Learning by In-parallel Pruning-Quantization. 7873–7882. 136 indexed citations

Wang, Chaoqun, Lili Meng, Ian M. Mitchell, et al.. (2017). Autonomous mobile robot navigation in uneven and unstructured indoor environments. 109–116. 70 indexed citations

Tung, Frederick, Jianhui Chen, Lili Meng, & James J. Little. (2017). The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night. IEEE Robotics and Automation Letters. 2(4). 2188–2193. 22 indexed citations

10.

Tung, Frederick & James J. Little. (2017). MF3D: Model-free 3D semantic scene parsing. 4596–4603. 8 indexed citations

11.

Meng, Lili, Jianhui Chen, Frederick Tung, et al.. (2017). Backtracking regression forests for accurate camera relocalization. 33 indexed citations

12.

Tung, Frederick & James J. Little. (2015). Scene parsing by nonparametric label transfer of content-adaptive windows. Computer Vision and Image Understanding. 143. 191–200. 8 indexed citations

13.

Tung, Frederick & James J. Little. (2015). Improving scene attribute recognition using web-scale object detectors. Computer Vision and Image Understanding. 138. 86–91. 3 indexed citations

14.

Tung, Frederick, Julieta Martínez, Holger H. Hoos, & James J. Little. (2015). Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. 566–571. 1 indexed citations

15.

Tung, Frederick, et al.. (2013). A Decoupled Approach to Illumination-Robust Optical Flow Estimation. IEEE Transactions on Image Processing. 22(10). 4136–4147. 11 indexed citations

16.

Tung, Frederick & Alexander Wong. (2013). Polynomial self-similarity for object classification. 1–4. 1 indexed citations

17.

Tung, Frederick, Alexander Wong, & David A. Clausi. (2010). Enabling scalable spectral clustering for image segmentation. Pattern Recognition. 43(12). 4069–4076. 58 indexed citations

18.

Tung, Frederick, John Zelek, & David A. Clausi. (2010). Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image and Vision Computing. 29(4). 230–240. 91 indexed citations

19.

Tung, Frederick, John Zelek, & David A. Clausi. (2009). Efficient Target Recovery Using STAGE for Mean-shift Tracking. 1. 16–22. 4 indexed citations

20.

Tung, Frederick, et al.. (1968). Navigation and control.. NASA Technical Reports Server (NASA). 165(2). 687–695. 57 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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