Danfeng Zhang

1.7k total citations
56 papers, 1.0k citations indexed

About

Danfeng Zhang is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Danfeng Zhang has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 18 papers in Signal Processing and 17 papers in Hardware and Architecture. Recurrent topics in Danfeng Zhang's work include Security and Verification in Computing (33 papers), Advanced Malware Detection Techniques (18 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (11 papers). Danfeng Zhang is often cited by papers focused on Security and Verification in Computing (33 papers), Advanced Malware Detection Techniques (18 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (11 papers). Danfeng Zhang collaborates with scholars based in United States, China and United Kingdom. Danfeng Zhang's co-authors include Andrew C. Myers, Aslan Askarov, G. Edward Suh, Yao Wang, Andrew Ferraiuolo, Yao Wang, Adwait Jog, Bryan Parno, Chris Hawblitzel and Brian Zill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and IEEE Access.

In The Last Decade

Danfeng Zhang

50 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danfeng Zhang United States 17 885 414 339 254 236 56 1.0k
Jason D. Hiser United States 16 539 0.6× 428 1.0× 490 1.4× 278 1.1× 478 2.0× 56 1.0k
Baris Kasikci United States 18 707 0.8× 344 0.8× 637 1.9× 417 1.6× 584 2.5× 62 1.3k
Dinakar Dhurjati United States 13 892 1.0× 571 1.4× 393 1.2× 349 1.4× 604 2.6× 21 1.2k
David Cock Australia 8 1.2k 1.3× 493 1.2× 477 1.4× 330 1.3× 506 2.1× 18 1.4k
Mike Hamburg United States 8 615 0.7× 303 0.7× 224 0.7× 255 1.0× 237 1.0× 12 786
Stelios Sidiroglou-Douskos United States 12 355 0.4× 280 0.7× 306 0.9× 229 0.9× 257 1.1× 20 865
Stefan Brunthaler United States 16 933 1.1× 735 1.8× 263 0.8× 316 1.2× 380 1.6× 38 1.1k
Simon Winwood Australia 5 887 1.0× 354 0.9× 346 1.0× 271 1.1× 423 1.8× 10 1.1k
Greg Kroah-Hartman United States 8 507 0.6× 336 0.8× 256 0.8× 243 1.0× 529 2.2× 17 955
Dave Maier United States 3 782 0.9× 691 1.7× 179 0.5× 297 1.2× 538 2.3× 4 1.0k

Countries citing papers authored by Danfeng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Danfeng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danfeng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Danfeng Zhang. A scholar is included among the top collaborators of Danfeng Zhang 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 Danfeng Zhang. Danfeng Zhang 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.
Zhang, Danfeng, Bo Yin, Wen Zhang, et al.. (2025). Light-driven release of 6PPD and formation of 6PPD-Q from tire and road wear particles: Mechanisms and cytotoxicity. Journal of Hazardous Materials. 499. 140224–140224.
2.
Wilkins, Arjun, Daniel Kifer, Danfeng Zhang, & Brian Karrer. (2024). Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. SHILAP Revista de lepidopterología. 14(1).
3.
Zhang, Yingtian, Dinghao Wu, Danfeng Zhang, et al.. (2024). Veiled Pathways: Investigating Covert and Side Channels Within GPU Uncore. 1169–1183. 2 indexed citations
4.
Pauley, Eric, Gang Tan, Danfeng Zhang, & Patrick McDaniel. (2022). Performant Binary Fuzzing without Source Code using Static Instrumentation. 41. 226–235. 1 indexed citations
5.
Zhang, Danfeng, Haiyan Zhang, Bi Zeng, et al.. (2021). The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm. Nanomaterials. 11(8). 1951–1951. 13 indexed citations
6.
He, Yuqing, et al.. (2021). LSTM based video stabilization for object tracking. 28. 195–195.
7.
Zhang, Danfeng, et al.. (2020). BCoal: Bucketing-Based Memory Coalescing for Efficient and Secure GPUs. 570–581. 16 indexed citations
8.
Wang, Shuai, et al.. (2019). Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 657–674. 7 indexed citations
9.
Shi, Yongjie, Danfeng Zhang, Xin Tong, et al.. (2019). Three Orthogonal Vanishing Points Estimation in Structured Scenes Using Convolutional Neural Networks. 3537–3541. 5 indexed citations
10.
Wang, Shuai, et al.. (2017). CacheD: Identifying Cache-Based Timing Channels in Production Software. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 235–252. 33 indexed citations
11.
Ferraiuolo, Andrew, Yao Wang, Rui Xu, et al.. (2017). Full-Processor Timing Channel Protection with Applications to Secure Hardware Compartments. eCommons (Cornell University). 3 indexed citations
12.
Ferraiuolo, Andrew, Rui Xu, Danfeng Zhang, Andrew C. Myers, & G. Edward Suh. (2017). Verification of a Practical Hardware Security Architecture Through Static Information Flow Analysis. ACM SIGOPS Operating Systems Review. 51(2). 555–568. 1 indexed citations
13.
Ferraiuolo, Andrew, Yao Wang, Danfeng Zhang, Andrew C. Myers, & G. Edward Suh. (2016). Lattice priority scheduling: Low-overhead timing-channel protection for a shared memory controller. 382–393. 18 indexed citations
14.
Zhang, Danfeng, Andrew C. Myers, Dimitrios Vytiniotis, & Simon Peyton-Jones. (2015). Diagnosing type errors with class. 12–21. 22 indexed citations
15.
Hawblitzel, Chris, Jon Howell, Jacob R. Lorch, et al.. (2014). Ironclad apps: end-to-end security via automated full-system verification. Operating Systems Design and Implementation. 165–181. 99 indexed citations
16.
Zhang, Danfeng & Andrew C. Myers. (2013). Toward General Diagnosis of Static Errors: Technical Report. eCommons (Cornell University). 1 indexed citations
17.
Zhang, Danfeng, Aslan Askarov, & Andrew C. Myers. (2012). Language-based control and mitigation of timing channels. 99–110. 80 indexed citations
18.
Askarov, Aslan, Danfeng Zhang, & Andrew C. Myers. (2010). Predictive black-box mitigation of timing channels. 297–307. 94 indexed citations
19.
Zhang, Danfeng, Yao Guo, Yue Wang, & Xiangqun Chen. (2007). Toward Efficient Aspect Mining for Linux. 191–198. 2 indexed citations
20.
Zhang, Danfeng, et al.. (2001). A rational recursive sequence. Computers & Mathematics with Applications. 41(3-4). 301–306. 13 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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