Daniel Fu

552 total citations
26 papers, 367 citations indexed

About

Daniel Fu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Fu has authored 26 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Fu's work include Advanced biosensing and bioanalysis techniques (7 papers), DNA and Biological Computing (4 papers) and AI-based Problem Solving and Planning (4 papers). Daniel Fu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), DNA and Biological Computing (4 papers) and AI-based Problem Solving and Planning (4 papers). Daniel Fu collaborates with scholars based in United States, China and Egypt. Daniel Fu's co-authors include John H. Reif, Shalin Shah, Tianqi Song, Ming Yang, Reem Mokhtar, Abeer Eshra, Hieu Bui, Sudhanshu Garg, Kristian J. Hammond and Michael J. Swain and has published in prestigious journals such as Journal of the American Chemical Society, Nature Nanotechnology and Nanoscale.

In The Last Decade

Daniel Fu

24 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Fu United States	8	267	90	55	49	28	26	367
Zhongxi Zhang China	13	152 0.6×	140 1.6×	101 1.8×	68 1.4×	8 0.3×	59	546
Max Willsey United States	8	120 0.4×	55 0.6×	56 1.0×	56 1.1×	9 0.3×	14	247
Mingkai Dong China	9	104 0.4×	38 0.4×	43 0.8×	40 0.8×	11 0.4×	20	417
Gregory Izatt United States	5	388 1.5×	207 2.3×	10 0.2×	54 1.1×	58 2.1×	5	545
Sanghyun Yoo South Korea	12	148 0.6×	46 0.5×	34 0.6×	38 0.8×	10 0.4×	31	294
Vipul Singhal India	9	245 0.9×	51 0.6×	15 0.3×	108 2.2×	13 0.5×	24	422
Yuqi Wang China	12	161 0.6×	110 1.2×	23 0.4×	35 0.7×	3 0.1×	25	376
Yeongjae Choi South Korea	9	186 0.7×	88 1.0×	26 0.5×	27 0.6×	25 0.9×	30	344
Vinay Kumar Singh India	14	106 0.4×	52 0.6×	49 0.9×	228 4.7×	5 0.2×	65	489
Philipp L. Antkowiak Switzerland	6	307 1.1×	36 0.4×	54 1.0×	30 0.6×	24 0.9×	7	339

Countries citing papers authored by Daniel Fu

Since Specialization

Citations

This map shows the geographic impact of Daniel 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 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 Fu more than expected).

Fields of papers citing papers by Daniel Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fu

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

20 of 20 papers shown

Shen, Luyao, et al.. (2025). Scaffolding Light-Up Aptamers on DNA Nanostructures for Fluorescence Enhancement. ACS Biomaterials Science & Engineering. 11(7). 4068–4075.

Sheng, Shuangwen, Rui Qi, Lin Du, et al.. (2025). Construction of dendrite-free and extremely stable aqueous zinc-ion batteries regulated by carbon materials derived from mangosteen shells. Materials Today Chemistry. 48. 102956–102956. 1 indexed citations

Zhou, Weihua, et al.. (2025). Achieving precision assessment of functional clinical scores for upper extremity using IMU-Based wearable devices and deep learning methods. Journal of NeuroEngineering and Rehabilitation. 22(1). 84–84. 3 indexed citations

Fu, Daniel & John H. Reif. (2024). A biomimetic branching signal-passing tile assembly model with dynamic growth and disassembly. Journal of The Royal Society Interface. 21(217). 20230755–20230755. 1 indexed citations

Fu, Daniel, Raghu Pradeep Narayanan, Fei Zhang, et al.. (2022). Automated design of 3D DNA origami with non-rasterized 2D curvature. Science Advances. 8(51). eade4455–eade4455. 16 indexed citations

Song, Xin, Daniel Fu, Shalin Shah, & John H. Reif. (2020). UV‐Micropatterned Miniaturization: Rapid In Situ Photopatterning and Miniaturization of Microscale Features on Shrinkable Thermoplastics. Advanced Materials Technologies. 5(6). 5 indexed citations

Song, Tianqi, Shalin Shah, Hieu Bui, et al.. (2019). Programming DNA-Based Biomolecular Reaction Networks on Cancer Cell Membranes. Journal of the American Chemical Society. 141(42). 16539–16543. 50 indexed citations

Song, Tianqi, Abeer Eshra, Shalin Shah, et al.. (2019). Fast and compact DNA logic circuits based on single-stranded gates using strand-displacing polymerase. Nature Nanotechnology. 14(11). 1075–1081. 186 indexed citations

Fu, Daniel, Shalin Shah, Tianqi Song, & John H. Reif. (2018). DNA-Based Analog Computing. Methods in molecular biology. 1772. 411–417. 9 indexed citations

10.

Fu, Daniel, et al.. (2006). Applying a Generic Intelligent Tutoring System (ITS) Authoring Tool to Specific Military Domains. Defense Technical Information Center (DTIC). 3 indexed citations

11.

Cox, C. B. & Daniel Fu. (2005). AI for automated combatants in a training application. 57–64. 3 indexed citations

12.

Fu, Daniel, et al.. (2004). Intelligent Simulation-Based Tutor for Flight Training. Defense Technical Information Center (DTIC). 11 indexed citations

13.

Fu, Daniel, et al.. (2003). Human systems modeling: specifying the behavior of computer-generated forces without programming. Winter Simulation Conference. 969–975. 2 indexed citations

14.

Fu, Daniel, et al.. (2003). <title>Creating an AI modeling application for designers and developers</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5091. 164–171. 1 indexed citations

15.

Fu, Daniel, et al.. (2003). A Visual Environment for Rapid Behavior Definition. 7 indexed citations

16.

Fu, Daniel, et al.. (2002). Putting AI in entertainment: an AI authoring tool for simulation and games. IEEE Intelligent Systems. 17(4). 81–84. 28 indexed citations

17.

Fu, Daniel, Kristian J. Hammond, & Michael J. Swain. (1996). Navigation for everyday life. National Conference on Artificial Intelligence. 902–908. 2 indexed citations

18.

Hammond, Kristian J., et al.. (1996). Actualized Intelligence: Case-based Agency in Practice. Applied Cognitive Psychology. 10(7). 73–83. 5 indexed citations

19.

Hammond, Kristian J., et al.. (1996). Actualized Intelligence: Case-based Agency in Practice. Applied Cognitive Psychology. 10(7). 73–83. 2 indexed citations

20.

Fu, Daniel, Kristian J. Hammond, & Michael J. Swain. (1995). Action and perception in man-made environments. International Joint Conference on Artificial Intelligence. 20(1 Neurology of Pregnancy). 464–469. 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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