Shihan Dou

1.0k total citations
16 papers, 203 citations indexed

About

Shihan Dou is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shihan Dou has authored 16 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 9 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Shihan Dou's work include Advanced Malware Detection Techniques (9 papers), Topic Modeling (5 papers) and Software Engineering Research (4 papers). Shihan Dou is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Topic Modeling (5 papers) and Software Engineering Research (4 papers). Shihan Dou collaborates with scholars based in China, Singapore and United States. Shihan Dou's co-authors include Yueming Wu, Hai Jin, Deqing Zou, Wei Yang, Duo Xu, Liang Hong, Tao Gui, Qi Zhang, Wei Yang and Xuanjing Huang and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Dependable and Secure Computing and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Shihan Dou

16 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shihan Dou China	6	131	127	85	66	51	16	203
Olga Gadyatskaya Netherlands	7	110 0.8×	85 0.7×	81 1.0×	61 0.9×	48 0.9×	21	154
Qiyi Tang China	9	153 1.2×	182 1.4×	108 1.3×	65 1.0×	100 2.0×	14	265
Dawn Drain United Kingdom	3	82 0.6×	218 1.7×	99 1.2×	56 0.8×	150 2.9×	3	275
Jing Kai Siow Singapore	4	89 0.7×	156 1.2×	93 1.1×	44 0.7×	37 0.7×	4	175
Kisub Kim Singapore	10	69 0.5×	284 2.2×	166 2.0×	68 1.0×	118 2.3×	28	353
Quanjun Zhang China	10	58 0.4×	185 1.5×	179 2.1×	52 0.8×	76 1.5×	37	303
Yannic Noller Singapore	7	77 0.6×	169 1.3×	192 2.3×	36 0.5×	47 0.9×	21	247
Paria Shirani Canada	7	150 1.1×	120 0.9×	46 0.5×	79 1.2×	101 2.0×	10	206
Lucky Onwuzurike United Kingdom	5	245 1.9×	124 1.0×	93 1.1×	194 2.9×	73 1.4×	6	277
Shabnam Mirshokraie Canada	9	89 0.7×	232 1.8×	240 2.8×	86 1.3×	27 0.5×	11	316

Countries citing papers authored by Shihan Dou

Since Specialization

Citations

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

Fields of papers citing papers by Shihan Dou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihan Dou

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

16 of 16 papers shown

Zhang, Ming, Hongying Sha, Yuhui Wang, et al.. (2025). LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. 4888–4914. 1 indexed citations

Dou, Shihan, Yan Liu, Enyu Zhou, et al.. (2024). StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. 4571–4585. 5 indexed citations

Dou, Shihan, et al.. (2024). CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection. Proceedings of the ACM on software engineering.. 1(FSE). 1564–1584. 2 indexed citations

Dou, Shihan, Enyu Zhou, Yan Liu, et al.. (2024). LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. 1932–1945. 10 indexed citations

Zheng, Rui, Shihan Dou, Yuhao Zhou, et al.. (2023). Detecting Adversarial Samples through Sharpness of Loss Landscape. 11282–11298. 1 indexed citations

Dou, Shihan, et al.. (2023). On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. 13573–13581. 1 indexed citations

Shan, Junjie, et al.. (2023). Gitor: Scalable Code Clone Detection by Building Global Sample Graph. 784–795. 2 indexed citations

Zheng, Rui, Jun Zhao, Shihan Dou, et al.. (2023). Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. 2859–2873. 1 indexed citations

Dou, Shihan, Yan Liu, Xiao Wang, et al.. (2023). DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. 12177–12189. 1 indexed citations

10.

Dou, Shihan, et al.. (2023). COCL: An Intelligent Framework for Enhancing Deep Learning-Based Vulnerability Detection. IEEE Transactions on Industrial Informatics. 20(3). 4953–4961. 3 indexed citations

11.

Wang, Xiao, Shihan Dou, Limao Xiong, et al.. (2022). MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5590–5600. 13 indexed citations

12.

Wu, Yueming, Deqing Zou, Shihan Dou, et al.. (2022). VulCNN. 2365–2376. 80 indexed citations

13.

Dou, Shihan, et al.. (2022). Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. 4112–4122. 4 indexed citations

14.

Wu, Yueming, Shihan Dou, Deqing Zou, et al.. (2022). Contrastive Learning for Robust Android Malware Familial Classification. IEEE Transactions on Dependable and Secure Computing. 1–14. 14 indexed citations

15.

Zou, Deqing, et al.. (2021). IntDroid. ACM Transactions on Software Engineering and Methodology. 30(3). 1–32. 33 indexed citations

16.

Wu, Yueming, Deqing Zou, Shihan Dou, et al.. (2020). SCDetector. 821–833. 32 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.

Explore authors with similar magnitude of impact