Daniel Y. Fu

846 total citations
9 papers, 32 citations indexed

About

Daniel Y. Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniel Y. Fu has authored 9 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Daniel Y. Fu's work include Software Engineering Research (2 papers), Semantic Web and Ontologies (2 papers) and AI-based Problem Solving and Planning (2 papers). Daniel Y. Fu is often cited by papers focused on Software Engineering Research (2 papers), Semantic Web and Ontologies (2 papers) and AI-based Problem Solving and Planning (2 papers). Daniel Y. Fu collaborates with scholars based in United States, Dominican Republic and Hong Kong. Daniel Y. Fu's co-authors include Yaroslav I. Molkov, Kayvon Fatahalian, Patrick Tan, Daniel E. Rusyniak, Maria V. Zaretskaia, Michael Zhang, James Won‐Ki Hong, Haotian Zhang, Jacob Ritchie and Christopher Ré and has published in prestigious journals such as PLoS ONE, Neural Information Processing Systems and MDPI (MDPI AG).

In The Last Decade

Daniel Y. Fu

8 papers receiving 30 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Y. Fu United States	4	10	7	5	5	5	9	32
John Palowitch United States	4	18 1.8×	4 0.6×	3 0.6×	3 0.6×	8 1.6×	6	33
Prantik Howlader India	3	20 2.0×	6 0.9×	2 0.4×	2 0.4×	6 1.2×	3	49
Wenjing Yin China	4	7 0.7×	3 0.4×	5 1.0×	1 0.2×	3 0.6×	9	39
Carolin Lawrence Germany	4	42 4.2×	7 1.0×	3 0.6×	3 0.6×	3 0.6×	16	48
Alex D. Wade United States	4	21 2.1×	14 2.0×	12 2.4×	2 0.4×	7 1.4×	10	40
S. Sagar Imambi India	4	12 1.2×	7 1.0×	5 1.0×	2 0.4×	1 0.2×	15	30
Norman Heino Germany	3	15 1.5×	14 2.0×	3 0.6×	4 0.8×		8	30
Luís Lima Portugal	3	12 1.2×	9 1.3×	3 0.6×	2 0.4×		5	40
Yihe Dong China	4	6 0.6×	3 0.4×	5 1.0×	4 0.8×	1 0.2×	6	26
Lucas Hosseini France	3	14 1.4×	5 0.7×	2 0.4×	4 0.8×		4	47

Countries citing papers authored by Daniel Y. Fu

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Y. Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Y. Fu

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

All Works

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9 of 9 papers shown

1.

Liu, Xian, Tsung-Yi Lin, Mingyu Liu, et al.. (2025). HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. 2535–2544.

2.

Fu, Daniel Y., et al.. (2022). The Details Matter: Preventing Class Collapse in Supervised Contrastive Learning. MDPI (MDPI AG). 4–4. 3 indexed citations

3.

Hong, James Won‐Ki, Haotian Zhang, Daniel Y. Fu, et al.. (2021). Analysis of Faces in a Decade of US Cable TV News. 3011–3021. 11 indexed citations

4.

Varma, Paroma, Frédéric Sala, Shiori Sagawa, et al.. (2019). Multi-Resolution Weak Supervision for Sequential Data. Neural Information Processing Systems. 32. 192–203. 2 indexed citations

5.

Fu, Daniel Y., Patrick Tan, Maria V. Zaretskaia, et al.. (2015). Orexinergic Neurotransmission in Temperature Responses to Methamphetamine and Stress: Mathematical Modeling as a Data Assimilation Approach. PLoS ONE. 10(5). e0126719–e0126719. 6 indexed citations

6.

Fu, Daniel Y., Patrick Tan, Alexey Kuznetsov, & Yaroslav I. Molkov. (2014). Chaos and Robustness in a Single Family of Genetic Oscillatory Networks. PLoS ONE. 9(3). e90666–e90666. 4 indexed citations

7.

Fu, Daniel Y., et al.. (2003). A CBR Approach to Asymmetric Plan Detection. 2 indexed citations

8.

Fu, Daniel Y., et al.. (2003). Detecting Asymmetric Plans Using Case-Based Reasoning. 1 indexed citations

9.

Fu, Daniel Y., et al.. (2002). Reasoning About Adversarial Intent in Asymmetric Situations. 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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