Xiaolin Li

6.5k total citations · 1 hit paper
130 papers, 3.9k citations indexed

About

Xiaolin Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaolin Li has authored 130 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 41 papers in Artificial Intelligence and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaolin Li's work include Cloud Computing and Resource Management (15 papers), Indoor and Outdoor Localization Technologies (12 papers) and Privacy-Preserving Technologies in Data (12 papers). Xiaolin Li is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Indoor and Outdoor Localization Technologies (12 papers) and Privacy-Preserving Technologies in Data (12 papers). Xiaolin Li collaborates with scholars based in United States, China and Canada. Xiaolin Li's co-authors include Xiaoyong Yuan, Qile Zhu, Pan He, Kaikai Liu, Chuanhuang Li, Huanyu Zhao, Xinxin Liu, Yuguang Fang, Shuling Li and Yanjun Li and has published in prestigious journals such as Nature Genetics, Bioinformatics and Scientific Reports.

In The Last Decade

Xiaolin Li

123 papers receiving 3.7k citations

Hit Papers

Adversarial Examples: Attacks and Defenses for Deep Learning 2019 2026 2021 2023 2019 250 500 750 1000
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.

  1. Adversarial Examples: Attacks and Defenses for Deep Learning
    2019 1.0k citations Xiaoyong Yuan, Pan He et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Li United States 28 1.8k 1.0k 760 664 494 130 3.9k
Robert C. Holte Canada 29 3.8k 2.2× 1.1k 1.1× 351 0.5× 439 0.7× 1.1k 2.1× 134 5.5k
Robi Polikar United States 31 4.0k 2.3× 630 0.6× 723 1.0× 583 0.9× 954 1.9× 144 6.6k
Dan Shen United States 28 1.7k 1.0× 630 0.6× 187 0.2× 368 0.6× 306 0.6× 269 3.5k
Roberto Battiti Italy 28 2.8k 1.6× 1.1k 1.1× 755 1.0× 1.3k 1.9× 1.2k 2.5× 98 6.1k
Ameet Talwalkar United States 28 2.0k 1.2× 415 0.4× 332 0.4× 218 0.3× 837 1.7× 52 3.8k
Fernando Pérez‐Cruz Spain 27 1.5k 0.9× 625 0.6× 369 0.5× 1.0k 1.5× 516 1.0× 130 3.6k
Yu Xue China 43 3.0k 1.7× 474 0.5× 351 0.5× 426 0.6× 1.5k 3.0× 177 5.6k
Peter Tiňo United Kingdom 32 2.3k 1.3× 282 0.3× 352 0.5× 932 1.4× 542 1.1× 201 4.2k
Jie Yang China 24 1.6k 0.9× 558 0.6× 467 0.6× 1.8k 2.7× 409 0.8× 172 4.0k
Irina Rish United States 22 1.5k 0.9× 899 0.9× 351 0.5× 209 0.3× 399 0.8× 84 3.5k

Countries citing papers authored by Xiaolin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Li. A scholar is included among the top collaborators of Xiaolin 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 Xiaolin Li. Xiaolin Li 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, Baitao, et al.. (2025). Decentralized identifiers based IoT data trusted collection. Scientific Reports. 15(1). 4796–4796. 2 indexed citations
2.
3.
Liu, Bing, et al.. (2025). Effect of crystal anisotropy on nanometric cutting mechanism of 4H-SiC. Materials Science in Semiconductor Processing. 200. 110007–110007.
4.
Li, Xiaolin, et al.. (2024). Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density. Sensors. 24(2). 325–325. 4 indexed citations
5.
Li, Jizhou, et al.. (2024). A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images. IEEE Journal of Biomedical and Health Informatics. 28(7). 4036–4047. 1 indexed citations
6.
Wang, Zhen, Ziqi Liu, Wei Zhang, et al.. (2024). AptaDiff: de novo design and optimization of aptamers based on diffusion models. Briefings in Bioinformatics. 25(6). 11 indexed citations
7.
Zhang, Fengda, Kun Kuang, Long Chen, et al.. (2023). Federated unsupervised representation learning. Frontiers of Information Technology & Electronic Engineering. 24(8). 1181–1193. 43 indexed citations
8.
Li, Xiaolin, et al.. (2023). Exploring Diverse Bioactive Secondary Metabolites from Marine Microorganisms Using Co-Culture Strategy. Molecules. 28(17). 6371–6371. 17 indexed citations
9.
Kong, Xiang-Shan, Xiaolin Li, Xiangyan Li, et al.. (2023). Ab initio calculations and empirical potential assessments of the energy and structure of symmetric tilt grain boundaries in tungsten. Computational Materials Science. 229. 112446–112446. 2 indexed citations
10.
Ma, Xiyao, et al.. (2022). Communication-Efficient and Attack-Resistant Federated Edge Learning With Dataset Distillation. IEEE Transactions on Cloud Computing. 11(3). 2517–2528. 7 indexed citations
11.
Hao, Qinfen, N. D. Qi, Haiyun Xue, et al.. (2021). A Chip-Level Optical Interconnect for CPU. IEEE Photonics Technology Letters. 33(16). 852–855. 4 indexed citations
12.
Li, Yanjun, et al.. (2020). Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 407–417. 47 indexed citations
13.
Botacin, Marcus, Xiaoyong Yuan, Matt Bishop, et al.. (2020). A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation. IEEE Transactions on Dependable and Secure Computing. 19(1). 353–369. 7 indexed citations
14.
Yuan, Xiaoyong, Pan He, Qile Zhu, & Xiaolin Li. (2019). Adversarial Examples: Attacks and Defenses for Deep Learning. IEEE Transactions on Neural Networks and Learning Systems. 30(9). 2805–2824. 1005 indexed citations breakdown →
15.
Sundaram, Laksshman, Hong Gao, Samskruthi Reddy Padigepati, et al.. (2018). Predicting the clinical impact of human mutation with deep neural networks. Nature Genetics. 50(8). 1161–1170. 263 indexed citations
16.
Liu, Kaikai & Xiaolin Li. (2018). Enhancing Localization Scalability and Accuracy via Opportunistic Sensing. IEEE/ACM Transactions on Networking. 26(3). 1517–1530. 6 indexed citations
17.
18.
Bhat, Rajendra R., et al.. (2017). DeepBipolar: Identifying genomic mutations for bipolar disorder via deep learning. Human Mutation. 38(9). 1217–1224. 32 indexed citations
19.
Parashar, Manish, et al.. (2009). Advanced Computational Infrastructures for Parallel and Distributed Applications. Wiley-Interscience eBooks. 518–518. 7 indexed citations
20.
Hsia, Pei, Xiaolin Li, & David Chenho Kung. (1997). Augmenting data flow criteria for class testing. Conference of the Centre for Advanced Studies on Collaborative Research. 9. 2 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

Breakdown of academic impact, for papers by Robert C. Holte Breakdown of academic impact, for papers by Robi Polikar Breakdown of academic impact, for papers by Dan Shen Breakdown of academic impact, for papers by Roberto Battiti Breakdown of academic impact, for papers by Ameet Talwalkar Breakdown of academic impact, for papers by Fernando Pérez‐Cruz Breakdown of academic impact, for papers by Yu Xue Breakdown of academic impact, for papers by Peter Tiňo Breakdown of academic impact, for papers by Jie Yang Breakdown of academic impact, for papers by Irina Rish
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