Kaichen Yang

644 total citations
16 papers, 365 citations indexed

About

Kaichen Yang is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing. According to data from OpenAlex, Kaichen Yang has authored 16 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Hardware and Architecture and 6 papers in Signal Processing. Recurrent topics in Kaichen Yang's work include Adversarial Robustness in Machine Learning (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers) and Advanced Malware Detection Techniques (6 papers). Kaichen Yang is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers) and Advanced Malware Detection Techniques (6 papers). Kaichen Yang collaborates with scholars based in United States, China and Taiwan. Kaichen Yang's co-authors include Yier Jin, Tsung-Yi Ho, Honggang Yu, Chi Zhang, Jianqing Liu, Yuguang Fang, Haocheng Ma, Yiqiang Zhao, Teng Zhang and Raj Gautam Dutta and has published in prestigious journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Electronics and SN Computer Science.

In The Last Decade

Kaichen Yang

14 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaichen Yang United States	8	304	120	91	67	59	16	365
Manaar Alam India	8	244 0.8×	121 1.0×	66 0.7×	56 0.8×	46 0.8×	29	338
Haojun Zhao China	6	260 0.9×	42 0.3×	40 0.4×	15 0.2×	37 0.6×	7	307
José-María Arnau Spain	12	125 0.4×	50 0.4×	176 1.9×	216 3.2×	169 2.9×	37	459
Jinqi Luo Singapore	4	234 0.8×	55 0.5×	41 0.5×	11 0.2×	101 1.7×	4	312
Yongqiang Tian China	10	134 0.4×	67 0.6×	66 0.7×	20 0.3×	41 0.7×	30	358
Nicolas Veyrat-Charvillon France	6	189 0.6×	62 0.5×	22 0.2×	112 1.7×	94 1.6×	10	291
Sezer Gören Türkiye	10	94 0.3×	27 0.2×	38 0.4×	102 1.5×	44 0.7×	50	289
Masaya Yoshikawa Japan	9	164 0.5×	44 0.4×	40 0.4×	190 2.8×	59 1.0×	113	338
Ranjie Duan China	5	312 1.0×	72 0.6×	14 0.2×	50 0.7×	155 2.6×	7	405
Ignacio Algredo‐Badillo Mexico	10	174 0.6×	31 0.3×	50 0.5×	47 0.7×	89 1.5×	46	299

Countries citing papers authored by Kaichen Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kaichen Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaichen Yang

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

All Works

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16 of 16 papers shown

Yang, Kaichen, et al.. (2025). PIAD: Pose and Illumination agnostic Anomaly Detection. 4734–4743.

Zhao, Yifang, et al.. (2024). A Generalize Hardware Debugging Approach for Large Language Models Semi-Synthetic, Datasets. IEEE Transactions on Circuits and Systems I Regular Papers. 72(2). 623–636. 2 indexed citations

Zhao, Yi‐Fang, Haocheng Ma, Xuan Zhang, et al.. (2024). Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. Digital Commons - Michigan Tech (Michigan Technological University). 349–354. 10 indexed citations

Yu, Honggang, et al.. (2023). Noise2Clean: Cross-Device Side-Channel Traces Denoising with Unsupervised Deep Learning. Electronics. 12(4). 1054–1054. 1 indexed citations

Yu, Honggang, et al.. (2023). Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis. Digital Commons - Michigan Tech (Michigan Technological University). 144–154. 3 indexed citations

Yu, Honggang, et al.. (2022). Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms. 8. 481–486. 1 indexed citations

Dutta, Raj Gautam, et al.. (2021). On Sensor Security in the Era of IoT and CPS. SN Computer Science. 2(1). 11 indexed citations

Yang, Kaichen, et al.. (2021). 3D-Adv: Black-Box Adversarial Attacks against Deep Learning Models through 3D Sensors. 547–552. 1 indexed citations

Yang, Kaichen, et al.. (2021). Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules. 349–362. 18 indexed citations

10.

Yu, Honggang, Haocheng Ma, Kaichen Yang, Yiqiang Zhao, & Yier Jin. (2020). DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage. 209–218. 75 indexed citations

11.

Yang, Kaichen, et al.. (2020). Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1088–1095. 18 indexed citations

12.

Yu, Honggang, et al.. (2020). CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. 83 indexed citations

13.

Yang, Kaichen, et al.. (2020). Robust Adversarial Objects against Deep Learning Models. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 954–962. 72 indexed citations

14.

Yang, Kaichen, Jianqing Liu, Chi Zhang, & Yuguang Fang. (2018). Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems. 559–564. 68 indexed citations

15.

Yang, Kaichen, Chi Zhang, & Nenghai Yu. (2015). Economic Costs of Multi-sever Private Information Retrieval in Cloud Computing. 373–376. 1 indexed citations

16.

Yang, Kaichen, et al.. (2014). Practical private information retrieval supporting keyword search in the cloud. 24. 1–6. 1 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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