Heng Chen

4.2k total citations
95 papers, 2.5k citations indexed

About

Heng Chen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Heng Chen has authored 95 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Molecular Biology. Recurrent topics in Heng Chen's work include Functional Brain Connectivity Studies (54 papers), Neural dynamics and brain function (19 papers) and Autism Spectrum Disorder Research (17 papers). Heng Chen is often cited by papers focused on Functional Brain Connectivity Studies (54 papers), Neural dynamics and brain function (19 papers) and Autism Spectrum Disorder Research (17 papers). Heng Chen collaborates with scholars based in China, United States and Macao. Heng Chen's co-authors include Huafu Chen, Xujun Duan, Xiaonan Guo, Youxue Zhang, Lucina Q. Uddin, Wei Liao, Fengmei Lu, Qian Cui, Zhiliang Long and Feng Liu and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Heng Chen

94 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng Chen China 30 1.9k 601 442 378 229 95 2.5k
Xin Di China 33 2.3k 1.3× 1.0k 1.7× 404 0.9× 475 1.3× 455 2.0× 129 3.5k
Robert J. Thoma United States 33 1.7k 0.9× 387 0.6× 354 0.8× 503 1.3× 152 0.7× 63 2.7k
Xiaobo Li United States 25 1.2k 0.7× 484 0.8× 189 0.4× 846 2.2× 186 0.8× 84 2.0k
Haruyasu Yamada Japan 30 1.1k 0.6× 1.1k 1.9× 237 0.5× 461 1.2× 147 0.6× 63 2.7k
Jeffrey A. James United States 20 710 0.4× 284 0.5× 315 0.7× 928 2.5× 296 1.3× 34 2.4k
Marcella Bellani Italy 30 1.5k 0.8× 888 1.5× 298 0.7× 1.2k 3.1× 191 0.8× 151 2.9k
Jane B. Allendorfer United States 32 1.4k 0.7× 501 0.8× 192 0.4× 1.1k 2.8× 76 0.3× 99 2.6k
Fengmei Lu China 24 1.2k 0.7× 476 0.8× 441 1.0× 303 0.8× 76 0.3× 77 1.7k
Seiki Konishi Japan 32 3.6k 2.0× 426 0.7× 491 1.1× 481 1.3× 106 0.5× 80 4.4k
Nicholas Cooper Australia 26 932 0.5× 139 0.2× 393 0.9× 470 1.2× 197 0.9× 33 2.2k

Countries citing papers authored by Heng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Heng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Chen. A scholar is included among the top collaborators of Heng 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 Heng Chen. Heng 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.
Li, Min, et al.. (2024). ACVPICPred: Inhibitory activity prediction of anti-coronavirus peptides based on artificial neural network. Computational and Structural Biotechnology Journal. 23. 3625–3633. 1 indexed citations
2.
Guo, Xiaonan, et al.. (2023). Exploring the heterogeneity of brain structure in autism spectrum disorder based on individual structural covariance network. Cerebral Cortex. 33(12). 7311–7321. 14 indexed citations
3.
Wang, Kang, et al.. (2022). Effect of carbendazim on honey bee health: Assessment of survival, pollen consumption, and gut microbiome composition. Ecotoxicology and Environmental Safety. 239. 113648–113648. 11 indexed citations
4.
Wang, Jia, Xiaomin Wang, Runshi Wang, et al.. (2021). Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder. Frontiers in Physiology. 12. 626338–626338. 11 indexed citations
5.
Chen, Heng, Fengmei Lu, Xiaonan Guo, et al.. (2021). Dimensional Analysis of Atypical Functional Connectivity of Major Depression Disorder and Bipolar Disorder. Cerebral Cortex. 32(6). 1307–1317. 7 indexed citations
6.
Pang, Yajing, Qian Cui, Qi Yang, et al.. (2020). Combined static and dynamic functional connectivity signatures differentiating bipolar depression from major depressive disorder. Australian & New Zealand Journal of Psychiatry. 54(8). 832–842. 35 indexed citations
7.
Li, Jiao, Heng Chen, Feiyang Fan, et al.. (2020). White-matter functional topology: a neuromarker for classification and prediction in unmedicated depression. Translational Psychiatry. 10(1). 365–365. 42 indexed citations
8.
Lu, Fengmei, Qian Cui, Liyuan Li, et al.. (2020). Anomalous intrinsic connectivity within and between visual and auditory networks in major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 100. 109889–109889. 73 indexed citations
9.
He, Changchun, Heng Chen, Xiaonan Guo, et al.. (2018). Dynamic functional connectivity analysis reveals decreased variability of the default‐mode network in developing autistic brain. Autism Research. 11(11). 1479–1493. 75 indexed citations
10.
Pang, Yajing, Heng Chen, Yuyan Chen, et al.. (2018). Extraversion and Neuroticism Related to Topological Efficiency in White Matter Network: An Exploratory Study Using Diffusion Tensor Imaging Tractography. Brain Topography. 32(1). 87–96. 6 indexed citations
11.
Duan, Xujun, Heng Chen, Changchun He, et al.. (2017). Resting-state functional under-connectivity within and between large-scale cortical networks across three low-frequency bands in adolescents with autism. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 79(Pt B). 434–441. 44 indexed citations
13.
Chen, Heng, Lucina Q. Uddin, Xujun Duan, et al.. (2017). Shared atypical default mode and salience network functional connectivity between autism and schizophrenia. Autism Research. 10(11). 1776–1786. 56 indexed citations
14.
Lu, Fengmei, Jing Dai, Chunhong Liu, et al.. (2017). Diffusion Tensor Imaging Tractography Reveals Disrupted White Matter Structural Connectivity Network in Healthy Adults with Insomnia Symptoms. Frontiers in Human Neuroscience. 11. 583–583. 30 indexed citations
15.
Chen, Heng, Lucina Q. Uddin, Youxue Zhang, Xujun Duan, & Huafu Chen. (2016). Atypical effective connectivity of thalamo‐cortical circuits in autism spectrum disorder. Autism Research. 9(11). 1183–1190. 24 indexed citations
17.
Pang, Yajing, Qian Cui, Xujun Duan, et al.. (2015). Extraversion modulates functional connectivity hubs of resting‐state brain networks. Journal of Neuropsychology. 11(3). 347–361. 20 indexed citations
18.
Chen, Heng, Xujun Duan, Feng Liu, et al.. (2015). Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity—A multi-center study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 64. 1–9. 162 indexed citations
19.
Lu, Fengmei, Heng Chen, Feng Liu, et al.. (2014). Relationship between Personality and Gray Matter Volume in Healthy Young Adults: A Voxel-Based Morphometric Study. PLoS ONE. 9(2). e88763–e88763. 53 indexed citations
20.
Zhang, Youxue, Chunyan Zhu, Heng Chen, et al.. (2014). Frequency-dependent alterations in the amplitude of low-frequency fluctuations in social anxiety disorder. Journal of Affective Disorders. 174. 329–335. 58 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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