Hang Yang

883 total citations
36 papers, 593 citations indexed

About

Hang Yang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Hang Yang has authored 36 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Yang's work include Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Neural dynamics and brain function (7 papers). Hang Yang is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Neural dynamics and brain function (7 papers). Hang Yang collaborates with scholars based in China, United States and United Kingdom. Hang Yang's co-authors include Yasutaka Furukawa, Satoshi Ikehata, Bharat B. Biswal, Cheng Luo, Dezhong Yao, Mingjun Duan, Yuchao Jiang, Chun Meng, Jianfu Li and Yingjia Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Radiology.

In The Last Decade

Hang Yang

33 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Yang China 11 294 203 92 81 81 36 593
Jiayue Xue China 12 301 1.0× 70 0.3× 31 0.3× 33 0.4× 62 0.8× 23 743
H. Selçuk Noğay Türkiye 11 223 0.8× 36 0.2× 4 0.0× 32 0.4× 177 2.2× 45 676
Qunjie Zhou Germany 7 95 0.3× 38 0.2× 77 0.8× 22 0.3× 37 0.5× 9 560
Yiming Zeng China 10 114 0.4× 48 0.2× 59 0.6× 59 0.7× 4 0.0× 15 442
Kun Chen China 13 364 1.2× 50 0.2× 4 0.0× 8 0.1× 68 0.8× 60 557
Ramanathan Muthuganapathy India 14 96 0.3× 10 0.0× 68 0.7× 65 0.8× 6 0.1× 54 492
Huiyu Duan China 16 110 0.4× 61 0.3× 17 0.2× 33 0.4× 20 0.2× 58 1.0k
Weihang Zhang China 13 223 0.8× 111 0.5× 7 0.1× 4 0.0× 91 1.1× 46 681
Sai Ma China 12 404 1.4× 191 0.9× 36 0.4× 94 1.2× 30 915
Tomas Kulvičius Germany 14 158 0.5× 7 0.0× 17 0.2× 13 0.2× 42 0.5× 55 737

Countries citing papers authored by Hang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yang. A scholar is included among the top collaborators of Hang Yang 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 Hang Yang. Hang Yang 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.
Chen, Jinfan, Hang Yang, Shun Li, et al.. (2025). Electrolyte evolution: The impact of indium doping on BaCe0.9Gd0.1O3-δ. International Journal of Hydrogen Energy. 126. 468–475. 2 indexed citations
2.
Yang, Hang, et al.. (2025). VOS: Towards thermal infrared image colorization via View Overlap Strategy. Neurocomputing. 649. 130793–130793.
3.
Yang, Hang, Guowei Wu, Yaoxin Li, et al.. (2025). Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition. Proceedings of the National Academy of Sciences. 122(12). e2420228122–e2420228122. 1 indexed citations
4.
Tian, Dong, et al.. (2024). Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study. BMC Medical Informatics and Decision Making. 24(1). 229–229. 2 indexed citations
5.
Wen, Xue, Hang Yang, Guowei Wu, et al.. (2024). Hierarchical individual variation and socioeconomic impact on personalized functional network topography in children. BMC Medicine. 22(1). 556–556. 2 indexed citations
6.
Yang, Hang, et al.. (2024). 74 GHz Millimeter-Wave Long-Range Channel Measurements for Backhaul Communications: Sounding System and Propagation Characterization. IEEE Transactions on Antennas and Propagation. 73(4). 1938–1953. 1 indexed citations
7.
Yang, Hang, et al.. (2023). Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification. Brain Structure and Function. 228(7). 1755–1769. 1 indexed citations
8.
Klugah‐Brown, Benjamin, et al.. (2023). Structural and functional network analysis of twins using fMRI data. Cerebral Cortex. 33(22). 11060–11069.
9.
Wang, Pan, et al.. (2023). Characterizing the spatiotemporal features of functional connectivity across the white matter and gray matter during the naturalistic condition. Frontiers in Neuroscience. 17. 1248610–1248610. 1 indexed citations
10.
Yang, Hang, et al.. (2022). Mutual structure ghost imaging under low sampling. Optics and Lasers in Engineering. 161. 107338–107338. 5 indexed citations
11.
Zhang, Heming, Xin Di, Bart Rypma, et al.. (2022). Interaction Between Memory Load and Experimental Design on Brain Connectivity and Network Topology. Neuroscience Bulletin. 39(4). 631–644. 3 indexed citations
12.
Yang, Hang, et al.. (2022). Analysis and visualization methods for detecting functional activation using laser speckle contrast imaging. Microcirculation. 29(6-7). e12783–e12783. 6 indexed citations
13.
Yang, Hang, Hong Zhang, Chun Meng, et al.. (2022). Frequency‐specific coactivation patterns in resting‐state and their alterations in schizophrenia: An fMRI study. Human Brain Mapping. 43(12). 3792–3808. 17 indexed citations
14.
Chen, Kai, Hang Yang, Heming Zhang, et al.. (2021). Altered cerebrovascular reactivity due to respiratory rate and breath holding: a BOLD-fMRI study on healthy adults. Brain Structure and Function. 226(4). 1229–1239. 8 indexed citations
15.
16.
Yang, Hang, Hong Zhang, Xin Di, et al.. (2021). Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia. NeuroImage. 237. 118193–118193. 33 indexed citations
17.
Jiang, Yuchao, Cheng Luo, Xuan Li, et al.. (2018). White-matter functional networks changes in patients with schizophrenia. NeuroImage. 190. 172–181. 113 indexed citations
18.
Jiang, Yuchao, Cheng Luo, Xin Li, et al.. (2018). Progressive Reduction in Gray Matter in Patients with Schizophrenia Assessed with MR Imaging by Using Causal Network Analysis. Radiology. 287(2). 633–642. 90 indexed citations
19.
Zhang, Tao, Fei Wang, Fali Li, et al.. (2018). Reconfiguration patterns of large-scale brain networks in motor imagery. Brain Structure and Function. 224(2). 553–566. 17 indexed citations
20.
Ikehata, Satoshi, Hang Yang, & Yasutaka Furukawa. (2015). Structured Indoor Modeling. 1323–1331. 113 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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