Xiaodan Li

1.2k total citations · 1 hit paper
32 papers, 663 citations indexed

About

Xiaodan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaodan Li has authored 32 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Xiaodan Li's work include Adversarial Robustness in Machine Learning (7 papers), Software Engineering Research (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaodan Li is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Software Engineering Research (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaodan Li collaborates with scholars based in China, United States and Australia. Xiaodan Li's co-authors include Yuan He, Hui Xue, Yuefeng Chen, Nenghai Yu, Wenbo Zhou, Honggu Liu, Weiming Zhang, Ranjie Duan, Xiaofeng Mao and Kishor S. Trivedi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Xiaodan Li

28 papers receiving 651 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

2021 338 citations Honggu Liu, Xiaodan Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaodan Li China	10	446	287	69	43	39	32	663
Junbo Zhao China	6	236 0.5×	305 1.1×	31 0.4×	45 1.0×	38 1.0×	18	514
Xiaochen Lian China	8	196 0.4×	111 0.4×	49 0.7×	83 1.9×	39 1.0×	13	331
Kejiang Chen China	17	747 1.7×	341 1.2×	94 1.4×	19 0.4×	31 0.8×	84	965
Warren He United States	4	198 0.4×	545 1.9×	174 2.5×	48 1.1×	23 0.6×	7	615
Hua Yan China	11	151 0.3×	135 0.5×	89 1.3×	44 1.0×	95 2.4×	55	367
Wenbin Jiang China	13	181 0.4×	242 0.8×	84 1.2×	84 2.0×	70 1.8×	76	481
Jianxiong Yin Singapore	8	129 0.3×	298 1.0×	50 0.7×	35 0.8×	72 1.8×	21	428
Logan Engstrom United States	10	153 0.3×	394 1.4×	73 1.1×	27 0.6×	10 0.3×	15	475
Ranjie Duan China	5	155 0.3×	312 1.1×	72 1.0×	14 0.3×	10 0.3×	7	405
Kamran Ghasedi Dizaji United States	6	300 0.7×	311 1.1×	50 0.7×	29 0.7×	13 0.3×	9	525

Countries citing papers authored by Xiaodan Li

Since Specialization

Citations

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

Fields of papers citing papers by Xiaodan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Li

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

All Works

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20 of 20 papers shown

Wang, Shuhui, et al.. (2025). Enhancing the Robustness of Vision-Language Foundation Models by Alignment Perturbation. IEEE Transactions on Information Forensics and Security. 20. 7091–7105.

Li, Xiaodan, et al.. (2025). Multi-class data augmentation for prediction of postpartum hemorrhage using improved ACGAN. Alexandria Engineering Journal. 128. 426–436.

Li, Xiaodan, et al.. (2025). MDGAIN-IFC: An intelligent construction method for full/refined benchmark dataset of postpartum hemorrhage based on MDGAIN and information fidelity. Alexandria Engineering Journal. 128. 1057–1072.

Zhu, Yao, Yuefeng Chen, Xiaodan Li, et al.. (2024). Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. International Journal of Computer Vision. 132(10). 4633–4650. 1 indexed citations

Liu, Honggu, Xiaodan Li, Wenbo Zhou, et al.. (2023). BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 7075–7084. 3 indexed citations

Zhu, Yao, et al.. (2023). Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Transactions on Information Forensics and Security. 18. 2046–2059. 11 indexed citations

Li, Xiaodan, Yuan He, Qianqian Xu, et al.. (2022). MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 5970–5987. 15 indexed citations

Zheng, Hanyu, et al.. (2022). Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy. Briefings in Bioinformatics. 24(2). 4 indexed citations

Zhu, Yao, Xiaodan Li, Kejiang Chen, et al.. (2022). Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective. IEEE Transactions on Image Processing. 31. 6487–6501. 37 indexed citations

10.

Li, Xiaodan, et al.. (2022). Face Forgery Detection via Symmetric Transformer. Proceedings of the 30th ACM International Conference on Multimedia. 4102–4111. 14 indexed citations

11.

Mao, Xiaofeng, Yuefeng Chen, Xiaodan Li, et al.. (2022). Towards Robust Vision Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12032–12041. 117 indexed citations

12.

Li, Xiaodan, Yuefeng Chen, Yuan He, et al.. (2021). QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3329–3338. 30 indexed citations

13.

Wang, Ping, et al.. (2021). A hybrid approach to classifying Wikipedia article quality flaws with feature fusion framework. Expert Systems with Applications. 181. 115089–115089. 9 indexed citations

14.

Liu, Honggu, Xiaodan Li, Wenbo Zhou, et al.. (2021). Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. 772–781. 338 indexed citations breakdown →

15.

Li, Xiaodan, et al.. (2020). Neural network’s selection of color in UI design of social software. Neural Computing and Applications. 33(3). 1017–1027. 2 indexed citations

16.

Du, Xiaoni, et al.. (2019). A Class of Linear Codes with Three and Five Weights. Chinese Journal of Electronics. 28(3). 457–461. 2 indexed citations

17.

Wang, Ping, et al.. (2019). A deep learning-based quality assessment model of collaboratively edited documents: A case study of Wikipedia. Journal of Information Science. 47(2). 176–191. 5 indexed citations

18.

Zhang, Qing, Jiajun Lin, & Xiaodan Li. (2016). Salient Object Detection via Structure Extraction and Region Contrast.. Journal of information science and engineering. 32. 1435–1454. 1 indexed citations

19.

Li, Xiaodan, Yongfeng Yin, & Lance Fiondella. (2015). Reliability and Performance Analysis of Architecture-Based Software Implementing Restarts and Retries Subject to Correlated Component Failures. International Journal of Software Engineering and Knowledge Engineering. 25(8). 1307–1334. 3 indexed citations

20.

Li, Xiaodan & Yongfeng Yin. (2014). A Unified Framework for Software Coupling Measurement. Advances in intelligent systems research. 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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