Chang Li

9.8k total citations · 6 hit papers
153 papers, 6.8k citations indexed

About

Chang Li is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Li has authored 153 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 44 papers in Biomedical Engineering and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Li's work include EEG and Brain-Computer Interfaces (47 papers), Advanced Image Fusion Techniques (25 papers) and Blind Source Separation Techniques (23 papers). Chang Li is often cited by papers focused on EEG and Brain-Computer Interfaces (47 papers), Advanced Image Fusion Techniques (25 papers) and Blind Source Separation Techniques (23 papers). Chang Li collaborates with scholars based in China, United States and Macao. Chang Li's co-authors include Jiayi Ma, Xun Chen, Yong Ma, Juan Cheng, Rencheng Song, Yü Liu, Junjun Jiang, Wei Yu, Pengwei Liang and Jing Li and has published in prestigious journals such as Applied Physics Letters, Langmuir and Scientific Reports.

In The Last Decade

Chang Li

143 papers receiving 6.6k citations

Hit Papers

FusionGAN: A generative adversarial network for infrared ... 2018 2026 2020 2023 2018 2018 2020 2020 2023 400 800 1.2k
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. FusionGAN: A generative adversarial network for infrared and visible image fusion
    2018 1.4k citations Chang Li et al. profile →
  2. Infrared and visible image fusion methods and applications: A survey
    2018 1.1k citations Chang Li et al. profile →
  3. EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention
    2020 356 citations Chang Li, Rencheng Song et al. profile →
  4. AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks
    2020 285 citations Chang Li et al. profile →
  5. Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation
    2023 123 citations Chang Li et al. profile →
  6. Stretchable on-skin touchless screen sensor enabled by ionic hydrogel
    2023 117 citations Chang Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Li China 35 3.1k 2.5k 1.6k 1.2k 1.1k 153 6.8k
Z. Jane Wang Canada 42 1.9k 0.6× 2.9k 1.1× 1.7k 1.0× 649 0.5× 1.3k 1.2× 255 7.7k
Juan Cheng China 34 1.0k 0.3× 1.2k 0.5× 1.1k 0.7× 272 0.2× 1.4k 1.3× 121 4.4k
Xiangrong Zhang China 53 4.6k 1.5× 3.2k 1.3× 879 0.5× 770 0.6× 524 0.5× 401 9.4k
Yong Yang China 34 2.0k 0.6× 2.0k 0.8× 555 0.3× 294 0.2× 417 0.4× 224 3.8k
Xiangmin Xu China 33 1.3k 0.4× 3.2k 1.3× 1.5k 0.9× 77 0.1× 473 0.4× 208 6.7k
Hongying Meng United Kingdom 31 532 0.2× 2.4k 0.9× 435 0.3× 258 0.2× 341 0.3× 142 4.3k
Anastasios Bezerianos Greece 41 476 0.2× 845 0.3× 3.1k 1.9× 89 0.1× 669 0.6× 259 5.8k
Yuanqing Li China 45 310 0.1× 1.0k 0.4× 3.7k 2.3× 190 0.2× 574 0.5× 230 6.8k
Shuaiqi Liu China 27 760 0.2× 1.1k 0.4× 562 0.3× 247 0.2× 168 0.1× 134 2.3k
Nasser Kehtarnavaz United States 38 651 0.2× 3.5k 1.4× 443 0.3× 385 0.3× 1.5k 1.3× 310 6.1k

Countries citing papers authored by Chang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Li. A scholar is included among the top collaborators of Chang 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 Chang Li. Chang 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, Chang & Chuan Lin. (2025). MFI-Net: Multi-level feature integration network for segmentation in breast ultrasound imaging. Digital Signal Processing. 161. 105090–105090.
2.
3.
Wei, Qingguo, Chang Li, Yijun Wang, & Xiaorong Gao. (2025). Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network. Scientific Reports. 15(1). 365–365. 1 indexed citations
4.
Wang, Xiao‐Lei, Chang Li, Jingwei Yang, Guoning Huang, & Xiaodong Zhang. (2025). Easy data augmentation strategies for enhanced blastomeres detection. Measurement. 256. 118119–118119.
5.
Peng, Cheng, et al.. (2024). Integrating deep learning and near-infrared spectroscopy for quality control of traditional Chinese medicine extracts. Microchemical Journal. 205. 111310–111310. 9 indexed citations
6.
Li, Chang, et al.. (2024). Uncertainty-guided Fourier-based domain generalization for seizure prediction. Expert Systems with Applications. 268. 126286–126286. 1 indexed citations
7.
Li, Chang, et al.. (2024). CTCNet: A CNN Transformer capsule network for sleep stage classification. Measurement. 226. 114157–114157. 11 indexed citations
8.
Wang, Kun, et al.. (2024). IEEG-HCT: A Hierarchical CNN-Transformer Combined Network for Intracranial EEG Signal Identification. IEEE Sensors Letters. 8(2). 1–4. 7 indexed citations
9.
Song, Rencheng, Cong Ren, Juan Cheng, Chang Li, & Xuezhi Yang. (2023). Non-contact human respiratory rate measurement based on two-level fusions of video and FMCW radar information. Measurement. 222. 113604–113604. 9 indexed citations
10.
11.
Wang, Kun, et al.. (2023). Privacy-Preserving Domain Adaptation for Intracranial EEG Classification via Information Maximization and Gaussian Mixture Model. IEEE Sensors Journal. 23(21). 26390–26400. 4 indexed citations
12.
Wu, Le, et al.. (2023). Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition. Journal of Neural Engineering. 20(1). 16050–16050. 22 indexed citations
13.
Zhang, Yushuang, Jie Chen, Cheng Chen, et al.. (2022). Infrared photodetector based on 2D monoclinic gold phosphide nanosheets yielded from one-step chemical vapor transport deposition. Applied Physics Letters. 120(13). 1 indexed citations
14.
Song, Rencheng, et al.. (2021). Electromagnetic Inverse Scattering With Perceptual Generative Adversarial Networks. IEEE Transactions on Computational Imaging. 7. 689–699. 27 indexed citations
15.
Tang, Wei, Yü Liu, Juan Cheng, Chang Li, & Xun Chen. (2021). Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network. IEEE Transactions on Computational Imaging. 7. 584–597. 30 indexed citations
16.
Tang, Wei, Yü Liu, Juan Cheng, et al.. (2020). A phase congruency‐based green fluorescent protein and phase contrast image fusion method in nonsubsampled shearlet transform domain. Microscopy Research and Technique. 83(10). 1225–1234. 15 indexed citations
17.
Song, Rencheng, et al.. (2020). Deep Learning-Based Inverse Scattering With Structural Similarity Loss Functions. IEEE Sensors Journal. 21(4). 4900–4907. 47 indexed citations
18.
Li, Chang, Yuhua Chen, & Ke Zhang. (2020). Neuroprotective Properties and Therapeutic Potential of Bone Marrow–Derived Microglia in Alzheimer’s Disease. American Journal of Alzheimer s Disease & Other Dementias®. 35. 1311353281–1311353281. 15 indexed citations
19.
20.
Li, Chang. (2013). Complexity Analysis of Physiological Time Series with Applications to Neonatal Sleep Electroencephalogram Signals. OhioLink ETD Center (Ohio Library and Information Network). 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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