Liangjun Chen

508 total citations
23 papers, 279 citations indexed

About

Liangjun Chen is a scholar working on Pediatrics, Perinatology and Child Health, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Liangjun Chen has authored 23 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 7 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in Liangjun Chen's work include Neonatal and fetal brain pathology (8 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Functional Brain Connectivity Studies (6 papers). Liangjun Chen is often cited by papers focused on Neonatal and fetal brain pathology (8 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Functional Brain Connectivity Studies (6 papers). Liangjun Chen collaborates with scholars based in China, United States and Netherlands. Liangjun Chen's co-authors include Jihong Zhao, Hua Qu, Badong Chen, Gang Li, Weili Lin, José C. Prı́ncipe, Li Wang, Zhengwang Wu, Yue Sun and Xia Sun and has published in prestigious journals such as Nature Communications, NeuroImage and Nature Protocols.

In The Last Decade

Liangjun Chen

22 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangjun Chen China 7 100 71 53 51 42 23 279
E.C. Tan Singapore 10 162 1.6× 167 2.4× 44 0.8× 83 1.6× 15 0.4× 32 466
Steven McDonagh United Kingdom 11 101 1.0× 180 2.5× 48 0.9× 50 1.0× 17 0.4× 23 345
Jundong Liu United States 9 95 0.9× 196 2.8× 6 0.1× 49 1.0× 19 0.5× 35 362
Roberto Rosas-Romero Mexico 10 84 0.8× 78 1.1× 6 0.1× 96 1.9× 12 0.3× 33 466
Fariborz Mahmoudi Iran 12 113 1.1× 225 3.2× 23 0.4× 67 1.3× 4 0.1× 52 478
Sawon Pratiher India 11 83 0.8× 76 1.1× 5 0.1× 65 1.3× 5 0.1× 45 355
Philip Chikontwe South Korea 12 152 1.5× 120 1.7× 17 0.3× 84 1.6× 3 0.1× 26 320
H. Ertan Çetingül United States 9 53 0.5× 164 2.3× 15 0.3× 76 1.5× 18 0.4× 21 306
P. Kalavathi India 10 56 0.6× 246 3.5× 21 0.4× 101 2.0× 5 0.1× 30 383
Wutao Yin Canada 8 37 0.4× 16 0.2× 6 0.1× 30 0.6× 93 2.2× 14 351

Countries citing papers authored by Liangjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liangjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liangjun Chen. A scholar is included among the top collaborators of Liangjun Chen 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 Liangjun Chen. Liangjun Chen 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.
Zheng, Kaizhong, et al.. (2024). BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping. NeuroImage. 292. 120594–120594. 9 indexed citations
2.
Chen, Liangjun, Zhengwang Wu, Tengfei Li, et al.. (2023). Longitudinal development of the cerebellum in human infants during the first 800 days. Cell Reports. 42(4). 112281–112281. 2 indexed citations
3.
Chen, Liangjun, Fenqiang Zhao, Zhengwang Wu, et al.. (2023). Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. PubMed. 2023. 1–5. 2 indexed citations
4.
Wang, Li, Zhengwang Wu, Liangjun Chen, et al.. (2023). iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction. Nature Protocols. 18(5). 1488–1509. 56 indexed citations
5.
Chen, Liangjun, Ya Wang, Zhengwang Wu, et al.. (2023). Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants. Nature Communications. 14(1). 3727–3727. 2 indexed citations
6.
Chen, Liangjun, Zhengwang Wu, Fenqiang Zhao, et al.. (2023). An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage. 269. 119931–119931. 6 indexed citations
7.
Chen, Liangjun, et al.. (2023). Automatic Robotic Development through Collaborative Framework by Large Language Models. 7736–7741. 1 indexed citations
8.
Chen, Liangjun, Zhengwang Wu, Dan Hu, et al.. (2022). A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage. 253. 119097–119097. 23 indexed citations
9.
Chen, Liangjun, Zhengwang Wu, Dan Hu, et al.. (2021). ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Analysis. 72. 102133–102133. 9 indexed citations
10.
Chen, Liangjun, Zhengwang Wu, Dan Hu, et al.. (2021). Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. Lecture notes in computer science. 12904. 139–149. 4 indexed citations
11.
Zhong, Tao, Jingkuan Wei, Kunhua Wu, et al.. (2021). Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage. 247. 118799–118799. 3 indexed citations
12.
Hu, Dan, Weiyan Yin, Zhengwang Wu, et al.. (2021). Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. Lecture notes in computer science. 12903. 231–240. 1 indexed citations
13.
Chen, Liangjun, Fenqiang Zhao, Zhengwang Wu, et al.. (2021). Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. Lecture notes in computer science. 12907. 239–248. 5 indexed citations
14.
Chen, Liangjun, Yu Hong, Sujith Mangalathu, Hongye Gou, & Qianhui Pu. (2021). Adaptive sampling approach based on Jensen-Shannon divergence for efficient reliability analysis. Journal of Central South University. 28(8). 2407–2422. 1 indexed citations
15.
Chen, Liangjun, Paul Honeiné, Hua Qu, Jihong Zhao, & Xia Sun. (2018). Correntropy-based robust multilayer extreme learning machines. Pattern Recognition. 84. 357–370. 40 indexed citations
16.
Chen, Liangjun, Hua Qu, & Jihong Zhao. (2017). Generalized Correntropy based deep learning in presence of non-Gaussian noises. Neurocomputing. 278. 41–50. 27 indexed citations
17.
Chen, Liangjun, Hua Qu, & Jihong Zhao. (2016). Generalized correntropy induced loss function for deep learning. 3. 1428–1433. 5 indexed citations
18.
Zhou, Qian, Kai Ni, Yuping Lu, et al.. (2010). Indirect measurement of the infrared pen point used in a short throw interactive projection system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7850. 78502F–78502F. 1 indexed citations
19.
Chen, Liangjun. (2007). Solving the N-Queens Problem Using Hyperbrid Genetic Algorithm. 1 indexed citations
20.
Jiang, Hao, Jinhua Zheng, & Liangjun Chen. (2006). Multi-Objective Particle Swarm Optimization Algorithm Based on Enhanced ε -Dominance. 1–5. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by E.C. Tan Breakdown of academic impact, for papers by Steven McDonagh Breakdown of academic impact, for papers by Jundong Liu Breakdown of academic impact, for papers by Roberto Rosas-Romero Breakdown of academic impact, for papers by Fariborz Mahmoudi Breakdown of academic impact, for papers by Sawon Pratiher Breakdown of academic impact, for papers by Philip Chikontwe Breakdown of academic impact, for papers by H. Ertan Çetingül Breakdown of academic impact, for papers by P. Kalavathi Breakdown of academic impact, for papers by Wutao Yin
Rankless by CCL
2026