Shengwei An

479 total citations
17 papers, 190 citations indexed

About

Shengwei An is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengwei An has authored 17 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengwei An's work include Adversarial Robustness in Machine Learning (10 papers), Advanced Malware Detection Techniques (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Shengwei An is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Advanced Malware Detection Techniques (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Shengwei An collaborates with scholars based in United States, Netherlands and China. Shengwei An's co-authors include Guanhong Tao, Yingqi Liu, Shiqing Ma, Xiangyu Zhang, Xiangyu Zhang, Guangyu Shen, Qiuling Xu, Zhuo Zhang, Yingqi Liu and Jingwei Xu and has published in prestigious journals such as Frontiers in Ecology and Evolution, Proceedings of the ACM on Programming Languages and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Shengwei An

16 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengwei An United States	7	144	54	44	23	19	17	190
Mojan Javaheripi United States	9	99 0.7×	20 0.4×	31 0.7×	14 0.6×	13 0.7×	22	177
Di Tang China	8	98 0.7×	42 0.8×	19 0.4×	128 5.6×	7 0.4×	29	236
Shruti Bhargava Choubey India	8	62 0.4×	12 0.2×	43 1.0×	15 0.7×	11 0.6×	39	166
Edward Chou United States	6	74 0.5×	44 0.8×	34 0.8×	20 0.9×	2 0.1×	9	131
Doosung Hwang South Korea	6	52 0.4×	66 1.2×	65 1.5×	59 2.6×	66 3.5×	33	180
Arun Radhakrishnan Ethiopia	8	27 0.2×	9 0.2×	27 0.6×	28 1.2×	14 0.7×	25	162
Michael D. Muhlbaier United States	5	196 1.4×	21 0.4×	36 0.8×	15 0.7×	6 0.3×	5	219
Nikhil Mishra India	7	68 0.5×	7 0.1×	39 0.9×	8 0.3×	28 1.5×	23	140
Andrea Cossu Italy	7	128 0.9×	11 0.2×	52 1.2×	10 0.4×	9 0.5×	15	178
Anh Gia-Tuan Nguyen Vietnam	6	78 0.5×	28 0.5×	21 0.5×	47 2.0×	6 0.3×	11	121

Countries citing papers authored by Shengwei An

Since Specialization

Citations

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

Fields of papers citing papers by Shengwei An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwei An

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

All Works

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17 of 17 papers shown

Shen, Guangyu, Siyuan Cheng, Zhuo Zhang, et al.. (2025). BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target. 1676–1694. 1 indexed citations

Wang, Tong, Yuan Yao, Feng Xu, et al.. (2024). Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 274–282. 5 indexed citations

Tao, Guanhong, Yingqi Liu, Guangyu Shen, et al.. (2024). Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. 24798–24809. 3 indexed citations

An, Shengwei, Kaiyuan Zhang, Guanhong Tao, et al.. (2024). Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 10847–10855. 6 indexed citations

Shen, Guangyu, Guanhong Tao, Kaiyuan Zhang, et al.. (2024). OdScan: Backdoor Scanning for Object Detection Models. 1703–1721. 2 indexed citations

Zhang, Kaiyuan, Siyuan Cheng, Guangyu Shen, et al.. (2024). Exploring the Orthogonality and Linearity of Backdoor Attacks. 2105–2123. 2 indexed citations

Tao, Guanhong, Yingqi Liu, Shengwei An, et al.. (2023). BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. 8 indexed citations

An, Shengwei, et al.. (2023). Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration. 51253–51272.

Tao, Guanhong, et al.. (2023). MEDIC: Remove Model Backdoors via Importance Driven Cloning. 20485–20494. 5 indexed citations

10.

An, Shengwei, Yuan Yao, Shiqing Ma, et al.. (2023). ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. 899–916. 3 indexed citations

11.

Wang, Zhiqiang, Shengwei An, Jian Zhao, et al.. (2022). Plastic regulates its co-pyrolysis process with biomass: Influencing factors, model calculations, and mechanisms. Frontiers in Ecology and Evolution. 10. 19 indexed citations

12.

Liu, Yingqi, et al.. (2022). Piccolo: Exposing Complex Backdoors in NLP Transformer Models. 2025–2042. 33 indexed citations

13.

Tao, Guanhong, et al.. (2022). Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security. 1372–1389. 24 indexed citations

14.

An, Shengwei, Guanhong Tao, Qiuling Xu, et al.. (2022). MIRROR: Model Inversion for Deep Learning Network with High Fidelity. 24 indexed citations

15.

Tao, Guanhong, et al.. (2022). Better Trigger Inversion Optimization in Backdoor Scanning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13358–13368. 30 indexed citations

16.

Liu, Yingqi, et al.. (2021). Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. International Conference on Machine Learning. 9525–9536. 21 indexed citations

17.

An, Shengwei, Rishabh Singh, Saša Misailovíc, & Roopsha Samanta. (2019). Augmented example-based synthesis using relational perturbation properties. Proceedings of the ACM on Programming Languages. 4(POPL). 1–24. 4 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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