Chunyan Li

1.9k total citations · 1 hit paper
69 papers, 1.1k citations indexed

About

Chunyan Li is a scholar working on Cognitive Neuroscience, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Chunyan Li has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 20 papers in Molecular Biology and 20 papers in Artificial Intelligence. Recurrent topics in Chunyan Li's work include Autism Spectrum Disorder Research (13 papers), Quantum Information and Cryptography (13 papers) and Computational Drug Discovery Methods (12 papers). Chunyan Li is often cited by papers focused on Autism Spectrum Disorder Research (13 papers), Quantum Information and Cryptography (13 papers) and Computational Drug Discovery Methods (12 papers). Chunyan Li collaborates with scholars based in China, United States and South Korea. Chunyan Li's co-authors include Shi‐Hai Sun, Lin-Mei Liang, Junfeng Yao, Xiangxiang Zeng, Yudong Zhang, Jiaji Wang, Shuihua Wang‎, Mu-Sheng Jiang, Xiao‐Yan Qin and Xingbo Ζhao and has published in prestigious journals such as Neuroscience, Physical Review A and Expert Systems with Applications.

In The Last Decade

Chunyan Li

66 papers receiving 1.1k citations

Hit Papers

A review of IoT applications in healthcare 2023 2026 2024 2025 2023 25 50 75 100
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. A review of IoT applications in healthcare
    2023 113 citations Chunyan Li et al. profile →

Peers

Chunyan Li
Qi Guo China
Weiming Zeng China
Shinpei Hayashi Japan
Xiao Da United States
Vangelis Sakkalis Greece
Qiong Zhang China
Ikuko N. Motoike Japan
Jin Liu China
Guangxin Wang China
Fei Xu China
Qi Guo China
Chunyan Li
Citations per year, relative to Chunyan Li Chunyan Li (= 1×) peers Qi Guo

Countries citing papers authored by Chunyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Li. A scholar is included among the top collaborators of Chunyan 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 Chunyan Li. Chunyan 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.
Jin, Shuting, Xiangrong Liu, Junlin Xu, et al.. (2025). Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. Information Fusion. 120. 103062–103062.
2.
Wang, Jianmin, Chunyan Li, Zixu Wang, et al.. (2025). Instruction multi-constraint molecular generation using a teacher-student large language model. BMC Biology. 23(1). 105–105. 1 indexed citations
3.
Wang, Jianmin, Jiashun Mao, Chunyan Li, et al.. (2024). Interface-aware molecular generative framework for protein–protein interaction modulators. Journal of Cheminformatics. 16(1). 142–142. 5 indexed citations
4.
Zhang, Junyou, et al.. (2024). Active enhancers: recent research advances and insights into disease. Biology Direct. 19(1). 112–112.
5.
Wang, Jianmin, Xun Wang, Yanyi Chu, et al.. (2024). Exploring the Conformational Ensembles of Protein–Protein Complex with Transformer-Based Generative Model. Journal of Chemical Theory and Computation. 20(11). 4469–4480. 8 indexed citations
6.
Yin, Zhenyu, et al.. (2024). Insight mixed deep neural network architectures for molecular representation. Alexandria Engineering Journal. 109. 299–306. 1 indexed citations
7.
Wang, Ze, et al.. (2024). Semi-supervised learning-based virtual adversarial training on graph for molecular property prediction. Alexandria Engineering Journal. 115. 491–500. 1 indexed citations
8.
Ding, Ning, et al.. (2024). The correlation between brain structure characteristics and emotion regulation ability in children at high risk of autism spectrum disorder. European Child & Adolescent Psychiatry. 33(9). 3247–3262. 1 indexed citations
9.
Zhang, Xingong, et al.. (2023). A reinforcement learning-based hybrid Aquila Optimizer and improved Arithmetic Optimization Algorithm for global optimization. Expert Systems with Applications. 224. 119898–119898. 45 indexed citations
10.
Liu, Mingquan, et al.. (2023). Geometric deep learning for drug discovery. Expert Systems with Applications. 240. 122498–122498. 43 indexed citations
11.
Li, Chunyan, Junfeng Yao, Wei Wei, et al.. (2022). Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4852–4861. 35 indexed citations
12.
Li, Zirong, Sheng Xie, Yuhong Wang, et al.. (2022). Sleep deprivation leads to further impairment of hippocampal synaptic plasticity by suppressing melatonin secretion in the pineal gland of chronically unpredictable stress rats. European Journal of Pharmacology. 930. 175149–175149. 26 indexed citations
13.
Zhang, Dexin, Ying Cui, Manman Zhao, et al.. (2022). Orexin-A exerts neuroprotective effect in experimental intracerebral hemorrhage by suppressing autophagy via OXR1-mediated ERK/mTOR signaling pathway. Frontiers in Cellular Neuroscience. 16. 1045034–1045034. 9 indexed citations
14.
Li, Chunyan, Chunyang Li, Dianxing Hu, et al.. (2022). KMT2E Haploinsufficiency Manifests Autism-Like Behaviors and Amygdala Neuronal Development Dysfunction in Mice. Molecular Neurobiology. 60(3). 1609–1625. 9 indexed citations
15.
Lin, Fan, et al.. (2021). MBRep: Motif-based representation learning in heterogeneous networks. Expert Systems with Applications. 190. 116031–116031. 14 indexed citations
16.
Li, Yun, et al.. (2021). Shared and Distinct Topologically Structural Connectivity Patterns in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Frontiers in Neuroscience. 15. 664363–664363. 14 indexed citations
17.
18.
19.
Fang, Hui, Chunyan Li, Xiang Xiao, et al.. (2019). Structural networks in children with autism spectrum disorder with regression: A graph theory study. Behavioural Brain Research. 378. 112262–112262. 12 indexed citations
20.
Li, Xihan, et al.. (2006). Quantum secure direct communication without maximally entangled states. arXiv (Cornell University). 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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