Xuhong Li

1.3k total citations · 1 hit paper
36 papers, 538 citations indexed

About

Xuhong Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xuhong Li has authored 36 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Xuhong Li's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (4 papers). Xuhong Li is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (4 papers). Xuhong Li collaborates with scholars based in China, United States and United Kingdom. Xuhong Li's co-authors include Haoyi Xiong, Dejing Dou, Xiao Zhang, Xingjian Li, Ji Liu, Jiang Bian, Xuanyu Wu, Yves Grandvalet, Franck Davoine and Jingchun Cheng and has published in prestigious journals such as Bioresource Technology, Atmospheric Environment and Pattern Recognition.

In The Last Decade

Xuhong Li

33 papers receiving 520 citations

Hit Papers

Interpretable deep learni... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuhong Li China 9 221 102 55 44 39 36 538
Utkarsh Mahadeo Khaire India 7 251 1.1× 92 0.9× 75 1.4× 32 0.7× 27 0.7× 13 516
Giulia DeSalvo United States 6 306 1.4× 114 1.1× 30 0.5× 55 1.3× 26 0.7× 14 598
B. Venkatesh India 5 202 0.9× 74 0.7× 32 0.6× 36 0.8× 23 0.6× 20 475
Yin-Wen Chang United States 6 253 1.1× 166 1.6× 50 0.9× 34 0.8× 28 0.7× 8 581
Andrea Bommert Germany 4 251 1.1× 97 1.0× 121 2.2× 27 0.6× 34 0.9× 8 583
Alexis Marcano-Cedeño Spain 8 253 1.1× 95 0.9× 81 1.5× 25 0.6× 50 1.3× 16 469
Linkai Luo China 14 164 0.7× 122 1.2× 48 0.9× 64 1.5× 22 0.6× 40 610
Manas Ranjan Senapati India 15 258 1.2× 141 1.4× 43 0.8× 68 1.5× 111 2.8× 48 543
Zhanquan Sun China 10 220 1.0× 119 1.2× 30 0.5× 23 0.5× 26 0.7× 35 466

Countries citing papers authored by Xuhong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuhong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuhong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuhong Li. A scholar is included among the top collaborators of Xuhong 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 Xuhong Li. Xuhong 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.
Li, Yuchen, Xuhong Li, Jiang Bian, et al.. (2025). Pre-trained molecular language models with random functional group masking. 1(1). 1 indexed citations
2.
Yu, Tingzhao, et al.. (2024). Interpretable machine learning for weather and climate prediction: A review. Atmospheric Environment. 338. 120797–120797. 27 indexed citations
3.
Xiong, Haoyi, 将尚 渡辺, Yuchen Li, et al.. (2024). When Search Engine Services Meet Large Language Models: Visions and Challenges. IEEE Transactions on Services Computing. 17(6). 4558–4577. 19 indexed citations
4.
Wang, Qingzhong, Xuhong Li, Zeyu Chen, et al.. (2024). MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. IEEE Transactions on Artificial Intelligence. 5(9). 4799–4812. 2 indexed citations
5.
Huang, Jiacong, Qi Guo, Xuhong Li, & Tian‐Qiong Shi. (2024). A comprehensive review on the application of neural network model in microbial fermentation. Bioresource Technology. 416. 131801–131801. 1 indexed citations
6.
Li, Xuhong, Haoyi Xiong, Xingjian Li, et al.. (2024). G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22705–22705. 1 indexed citations
7.
Li, Xuhong, Lei Yu, Jiang Bian, et al.. (2023). Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8041–8049. 1 indexed citations
8.
Li, Xuhong, et al.. (2023). Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. 403–413. 2 indexed citations
9.
Bian, Jiang, Jizhou Huang, Xuhong Li, et al.. (2023). Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Transactions on Services Computing. 16(5). 3361–3372. 8 indexed citations
10.
Bian, Jiang, Xuhong Li, Qingzhong Wang, et al.. (2023). P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Transactions on Multimedia Computing Communications and Applications. 20(4). 1–23. 8 indexed citations
11.
Li, Xingjian, Di Hu, Xuhong Li, et al.. (2023). Towards accurate knowledge transfer via target-awareness representation disentanglement. Machine Learning. 113(2). 699–723.
12.
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 →
13.
Xiong, Haoyi, et al.. (2021). Can We Use Gradient Norm as a Measure of Generalization Error for Model Selection in Practice. 1 indexed citations
14.
Hu, Di, Xuhong Li, Lichao Mou, et al.. (2020). Cross-Task Transfer for Multimodal Aerial Scene Recognition.. arXiv (Cornell University). 2 indexed citations
15.
Zhang, Wei, et al.. (2018). Network congestion control algorithm based on Actor-Critic reinforcement learning model. AIP conference proceedings. 1955. 40167–40167. 1 indexed citations
16.
Li, Xuhong, et al.. (2017). The application of mixed recommendation algorithm with user clustering in the microblog advertisements promotion. AIP conference proceedings. 1808. 80025–80025. 1 indexed citations
17.
Li, Xuhong, et al.. (2012). Novel convertible authenticated encryption schemes without using hash functions. 1. 504–508. 2 indexed citations
18.
Chen, Peng, et al.. (2008). Analysis of Traffic Accident Based on Fractal Theory. Journal of Highway and Transportation Research and Development. 2 indexed citations
19.
Li, Xuhong, et al.. (2000). RESEARCH AND APPLICATION OF SPACE TIME TECHNOLOGY IN HIGHWAY NETWORK PLANNING INFORMATION SYSTEM.. Journal of Highway and Transportation Research and Development. 1 indexed citations
20.
Li, Xuhong, et al.. (1999). Automatic document classification and extraction system (adoces). 147–147. 3 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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