Xingjian Li

1.5k total citations · 1 hit paper
57 papers, 782 citations indexed

About

Xingjian Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xingjian Li has authored 57 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Xingjian Li's work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (12 papers) and Multimodal Machine Learning Applications (8 papers). Xingjian Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (12 papers) and Multimodal Machine Learning Applications (8 papers). Xingjian Li collaborates with scholars based in China, United States and Macao. Xingjian Li's co-authors include Dejing Dou, Haoyi Xiong, Ji Liu, Xiao Zhang, Xuhong Li, Chengzhong Xu, Xuanyu Wu, Jiang Bian, Abulikemu Abuduweili and Humphrey Shi and has published in prestigious journals such as ACS Nano, Water Research and Scientific Reports.

In The Last Decade

Xingjian Li

51 papers receiving 765 citations

Hit Papers

Interpretable deep learni... 2022 2026 2023 2024 2022 50 100 150 200
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. Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
    2022 246 citations Xuhong Li, Haoyi Xiong et al. Knowledge and Information 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
Xingjian Li China 14 335 175 68 63 53 57 782
Bhushankumar Nemade India 10 195 0.6× 163 0.9× 55 0.8× 91 1.4× 67 1.3× 27 808
Turgay İbrikçі Türkiye 14 320 1.0× 143 0.8× 43 0.6× 60 1.0× 31 0.6× 50 778
Meng Zhao China 17 219 0.7× 274 1.6× 33 0.5× 60 1.0× 46 0.9× 97 955
Qingchen Zhang China 3 327 1.0× 152 0.9× 122 1.8× 91 1.4× 64 1.2× 5 816
Jeff Heaton United States 9 290 0.9× 123 0.7× 82 1.2× 68 1.1× 93 1.8× 16 849
Zhenyun Deng China 8 312 0.9× 139 0.8× 74 1.1× 90 1.4× 54 1.0× 17 707
Amelia Ritahani Ismail Malaysia 12 219 0.7× 101 0.6× 62 0.9× 141 2.2× 39 0.7× 74 789
Jafar Tanha Iran 13 512 1.5× 178 1.0× 79 1.2× 93 1.5× 56 1.1× 76 841

Countries citing papers authored by Xingjian Li

Since Specialization
Citations

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

Fields of papers citing papers by Xingjian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjian Li. A scholar is included among the top collaborators of Xingjian 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 Xingjian Li. Xingjian 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.
Wang, Bingkun, Xingjian Li, Changgang Yang, et al.. (2025). High-resolution single-photon spectrum and its applications in vibration measurements. Optics Express. 33(16). 33101–33101.
2.
Jiang, Chunyuan, Xinrui Zhang, Xinyue Zhang, et al.. (2025). Paradoxical adhesion and polyethylene based plastic/plastic laminated composite improvement of polyphenols modified polyacrylate latex pressure-sensitive adhesives. Reactive and Functional Polymers. 208. 106158–106158. 2 indexed citations
3.
Li, Xingjian, Pengkun Yang, Xueying Zhan, et al.. (2024). Deep Active Learning with Noise Stability. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13655–13663. 6 indexed citations
4.
Li, Xingjian, et al.. (2024). A Neural Network Approach for Stochastic Optimal Control. SIAM Journal on Scientific Computing. 46(5). C535–C556. 5 indexed citations
5.
Chen, Junjie, Hangyu Mao, Jiajun Jiang, et al.. (2023). Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. 1 indexed citations
6.
Wu, Yumeng, et al.. (2022). Diagnostic validity of different gonial angle segmentation for the assessment of mandibular growth direction: A retrospective study. Annals of Anatomy - Anatomischer Anzeiger. 242. 151912–151912. 3 indexed citations
7.
Nurbekyan, Levon, et al.. (2022). A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Transactions on Control Systems Technology. 31(1). 235–251. 19 indexed citations
8.
Zhou, Jingzhe, Xiaoning Liu, Hong Jiang, et al.. (2022). Antidote or Trojan horse for submerged macrophytes: Role of microplastics in copper toxicity in aquatic environments. Water Research. 216. 118354–118354. 41 indexed citations
9.
Xiong, Haoyi, Jian Zhao, Zeyu Chen, et al.. (2022). GrOD : Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Transactions on Knowledge Discovery from Data. 16(6). 1–25. 16 indexed citations
10.
Li, Xingjian, et al.. (2022). Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers in Artificial Intelligence. 4. 752831–752831. 2 indexed citations
11.
Li, Xuhong, Haoyi Xiong, Xingjian Li, et al.. (2022). Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowledge and Information Systems. 64(12). 3197–3234. 246 indexed citations breakdown →
12.
Gao, Xitong, et al.. (2020). Pay Attention to Features, Transfer Learn faster CNNs. International Conference on Learning Representations. 30 indexed citations
13.
Wang, Qingzhong, Jiuniu Wang, Antoni B. Chan, et al.. (2020). Neighbours Matter: Image Captioning with Similar Images. 3 indexed citations
14.
Li, Xingjian, et al.. (2019). Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks.. International Conference on Learning Representations. 2 indexed citations
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17.
Epstein, Susan L., et al.. (2012). Discovering Protein Clusters. National Conference on Artificial Intelligence.
18.
Wang, Yipeng, et al.. (2011). Biprominer: Automatic Mining of Binary Protocol Features. 179–184. 24 indexed citations
19.
Li, Xingjian & Susan L. Epstein. (2010). Visualization for structured constraint satisfaction problems. National Conference on Artificial Intelligence. 61–68. 2 indexed citations
20.
Epstein, Susan L. & Xingjian Li. (2009). Cluster Graphs as Abstractions for Constraint Satisfaction Problems. 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.

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