Cheng Fu

858 total citations
21 papers, 487 citations indexed

About

Cheng Fu is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture. According to data from OpenAlex, Cheng Fu has authored 21 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Hardware and Architecture. Recurrent topics in Cheng Fu's work include Adversarial Robustness in Machine Learning (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers) and Advanced Neural Network Applications (3 papers). Cheng Fu is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers) and Advanced Neural Network Applications (3 papers). Cheng Fu collaborates with scholars based in United States, China and Israel. Cheng Fu's co-authors include Jishen Zhao, Huili Chen, Farinaz Koushanfar, Bita Darvish Rouhani, Le Sun, Xianpei Han, David D. Wentzloff, Sara A. Pozzi, Angela Di Fulvio and Shaun D. Clarke and has published in prestigious journals such as Energies, Annals of Nuclear Energy and Processes.

In The Last Decade

Cheng Fu

20 papers receiving 464 citations

Peers

Cheng Fu
Quan Gan China
E. Wes Bethel United States
Andrew Ilyas United States
Cong Fu China
Yunsheng Bai United States
Todd Plantenga United States
Amit Sabne United States
Cheng Fu
Citations per year, relative to Cheng Fu Cheng Fu (= 1×) peers Tingsong Jiang

Countries citing papers authored by Cheng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Fu. A scholar is included among the top collaborators of Cheng 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 Cheng Fu. Cheng Fu 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
1.
Chen, Huili, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, & Farinaz Koushanfar. (2023). Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. IEEE Design and Test. 41(2). 23–31. 2 indexed citations
2.
Fu, Cheng, Bram Wasti, Chris Cummins, et al.. (2022). Q-gym. 291–303. 3 indexed citations
3.
Fu, Cheng, Kunlin Yang, Xinyun Chen, Yuandong Tian, & Jishen Zhao. (2021). N-Bref : A High-fidelity Decompiler Exploiting Programming Structures. 1 indexed citations
4.
Chen, Huili, Cheng Fu, Jishen Zhao, & Farinaz Koushanfar. (2021). ProFlip: Targeted Trojan Attack with Progressive Bit Flips. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7698–7707. 1 indexed citations
5.
Chen, Huili, Cheng Fu, Jishen Zhao, & Farinaz Koushanfar. (2021). GALU: A Genetic Algorithm Framework for Logic Unlocking. 4(2). 1–30. 1 indexed citations
6.
Fu, Cheng, Xianpei Han, Jiaming He, & Le Sun. (2020). Hierarchical Matching Network for Heterogeneous Entity Resolution. 3665–3671. 34 indexed citations
7.
Fu, Cheng, Huili Chen, Xinyun Chen, et al.. (2019). Coda: An End-to-End Neural Program Decompiler. Neural Information Processing Systems. 32. 3703–3714. 7 indexed citations
8.
Chen, Huili, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, & Farinaz Koushanfar. (2019). DeepAttest. 487–498. 27 indexed citations
9.
Chen, Huili, Cheng Fu, Jishen Zhao, & Farinaz Koushanfar. (2019). DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. 4658–4664. 163 indexed citations
10.
Fu, Cheng, Xianpei Han, Le Sun, et al.. (2019). End-to-End Multi-Perspective Matching for Entity Resolution. 4961–4967. 44 indexed citations
11.
Chen, Huili, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, & Farinaz Koushanfar. (2019). DeepMarks. 105–113. 100 indexed citations
12.
Fu, Cheng, et al.. (2019). Identification of the Thief Zone Using a Support Vector Machine Method. Processes. 7(6). 373–373. 3 indexed citations
13.
Fu, Cheng, Shilin Zhu, Huili Chen, et al.. (2019). SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. abs 1602 2830. 319–319. 3 indexed citations
14.
Chen, Huili, Cheng Fu, Jishen Zhao, & Farinaz Koushanfar. (2019). GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. 10 indexed citations
15.
Huang, Bin, et al.. (2018). Thief Zone Assessment in Sandstone Reservoirs Based on Multi-Layer Weighted Principal Component Analysis. Energies. 11(5). 1274–1274. 12 indexed citations
16.
Fu, Cheng, et al.. (2017). A Programmable Galois Field Processor for the Internet of Things. ACM SIGARCH Computer Architecture News. 45(2). 55–68. 1 indexed citations
17.
Fu, Cheng, et al.. (2017). FPGA High-level Synthesis versus Overlay. ACM SIGARCH Computer Architecture News. 44(4). 92–97. 6 indexed citations
18.
Fu, Cheng, et al.. (2017). A Programmable Galois Field Processor for the Internet of Things. 55–68. 9 indexed citations
20.
Fu, Cheng & Bin Huang. (2012). Reflections on the Training of Outstanding Engineers. Advanced materials research. 591-593. 2240–2242.

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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