Xuechen Li

1.3k total citations
38 papers, 494 citations indexed

About

Xuechen Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xuechen Li has authored 38 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Xuechen Li's work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 diagnosis using AI (8 papers) and AI in cancer detection (8 papers). Xuechen Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 diagnosis using AI (8 papers) and AI in cancer detection (8 papers). Xuechen Li collaborates with scholars based in China, Australia and United States. Xuechen Li's co-authors include Linlin Shen, Suhuai Luo, Jiaming Li, Xinpeng Xie, Juan Yu, Yuexiang Li, Meixiao Shen, Shiyun Huang, Tatsunori Hashimoto and Dan Jurafsky and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and Methods.

In The Last Decade

Xuechen Li

33 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuechen Li China 12 264 192 152 68 56 38 494
Somsak Choomchuay Thailand 11 121 0.5× 132 0.7× 134 0.9× 37 0.5× 33 0.6× 60 349
Mingquan Lin United States 11 163 0.6× 117 0.6× 102 0.7× 53 0.8× 41 0.7× 48 397
Talha Meraj Pakistan 13 240 0.9× 219 1.1× 122 0.8× 60 0.9× 45 0.8× 24 576
Karthikeyan Ganesan Malaysia 8 165 0.6× 244 1.3× 139 0.9× 39 0.6× 37 0.7× 12 341
Christian Leibig Germany 7 206 0.8× 270 1.4× 44 0.3× 33 0.5× 23 0.4× 10 483
Sharifa Sahai United States 2 213 0.8× 299 1.6× 76 0.5× 33 0.5× 6 0.1× 3 585
Sebastian Otálora Switzerland 14 345 1.3× 293 1.5× 200 1.3× 41 0.6× 123 2.2× 18 514
Ruiwei Feng China 11 155 0.6× 150 0.8× 121 0.8× 37 0.5× 35 0.6× 14 454
Ali Serener Cyprus 12 361 1.4× 134 0.7× 140 0.9× 47 0.7× 175 3.1× 31 489
Lily H. Peng United States 6 376 1.4× 446 2.3× 96 0.6× 134 2.0× 8 0.1× 6 689

Countries citing papers authored by Xuechen Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuechen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuechen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuechen Li. A scholar is included among the top collaborators of Xuechen 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 Xuechen Li. Xuechen 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, Pan, Xuechen Li, & Qianqian Zheng. (2025). Fixed-time synchronization of Clifford-valued neural networks with D operator via aperiodic semi-intermittent control. Advances in Continuous and Discrete Models. 2025(1). 1 indexed citations
2.
Li, Xuechen, et al.. (2025). Big data technology and corporate investment efficiency: evidence from firm-level patent data. Applied Economics. 57(41). 6572–6591.
3.
Wang, Pan, Xuechen Li, & Qianqian Zheng. (2024). Synchronization of inertial complex-valued memristor-based neural networks with time-varying delays. Mathematical Biosciences & Engineering. 21(2). 3319–3334. 2 indexed citations
4.
Li, Zhongliang, et al.. (2023). Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural Computing and Applications. 35(15). 10717–10731. 1 indexed citations
5.
Wang, Pan, Xuechen Li, Jianquan Lu, & Jungang Lou. (2023). Fixed-Time Synchronization of Stochastic Complex-Valued Fuzzy Neural Networks with Memristor and Proportional Delays. Neural Processing Letters. 55(6). 8465–8481. 6 indexed citations
6.
Yue, Xiang, Huseyin A. Inan, Xuechen Li, et al.. (2023). Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. 1321–1342. 15 indexed citations
7.
Henderson, Peter, Xuechen Li, Dan Jurafsky, et al.. (2023). Foundation Models and Fair Use. SSRN Electronic Journal. 39 indexed citations
8.
Li, Xuechen, et al.. (2022). Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. Neural Computing and Applications. 35(10). 7581–7594. 6 indexed citations
9.
Wang, Pan, Xuechen Li, & Tianwei Zhang. (2022). Exponential Synchronization of Inertial Complex-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays via Periodically Intermittent Control. International Journal of Computational Intelligence Systems. 15(1). 2 indexed citations
10.
Cao, Min, et al.. (2021). A Pseudo Lesion Generation Method for Deep Learning Based Chest X-Ray Lung Disease Detection. 24. 256–259. 2 indexed citations
12.
Li, Xuechen, et al.. (2021). A Coarse Feature Reuse Deep Neural Network for CXR Lesion Detection. 307–313. 1 indexed citations
13.
Li, Xuechen, Linlin Shen, Zhihui Lai, et al.. (2021). A self-supervised feature-standardization-block for cross-domain lung disease classification. Methods. 202. 70–77. 3 indexed citations
14.
Lai, Zhihui, et al.. (2020). Relaxed local preserving regression for image feature extraction. Multimedia Tools and Applications. 80(3). 3729–3748.
15.
Li, Xuechen, et al.. (2019). Deep learning based early stage diabetic retinopathy detection using optical coherence tomography. Neurocomputing. 369. 134–144. 68 indexed citations
16.
Li, Xuechen, et al.. (2019). Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection. Artificial Intelligence in Medicine. 103. 101744–101744. 93 indexed citations
17.
Li, Xuechen, et al.. (2018). Isolating Sources of Disentanglement in Variational Autoencoders.. International Conference on Learning Representations. 15 indexed citations
18.
Li, Xuechen, Linlin Shen, & Jiang Duan. (2018). Optic Disc and Fovea Detection Using Multi-Stage Region-Based Convolutional Neural Network. 7–11. 7 indexed citations
19.
Li, Xuechen, Suhuai Luo, & Jiaming Li. (2013). Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set. Journal of Signal and Information Processing. 4(3). 36–42. 15 indexed citations
20.
Li, Xuechen, Hui Deng, & Guoqing Li. (2012). Improved switching median filter for removing impulse noise from the image of the welded joint. 6. 312–315. 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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