Qihe Huang

525 total citations
11 papers, 351 citations indexed

About

Qihe Huang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Qihe Huang has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Qihe Huang's work include Cancer-related molecular mechanisms research (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Ion channel regulation and function (2 papers). Qihe Huang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Ion channel regulation and function (2 papers). Qihe Huang collaborates with scholars based in China, United States and Australia. Qihe Huang's co-authors include Chaoqian Xu, Zhenwei Pan, Baofeng Yang, Xuexin Jin, Genlong Xue, Shihua Zhao, Yilin Sun, Penghui Li, Hongli Shan and Yang Zhang and has published in prestigious journals such as Scientific Reports, European Journal of Pharmacology and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Qihe Huang

10 papers receiving 348 citations

Peers

Qihe Huang

MB

CCM

CR

SURGE

PRM

Mit Shah United Kingdom

Haitong Zhang China

Baoxin Li United States

Shulin Wu China

Sisi Ma United States

Jun Shi China

Jing Bai China

Scott M. Bugenhagen United States

Jingmin Zhou China

Mit Shah United Kingdom

Qihe Huang

191 ×1.1

MB

213 ×1.8

CCM

142 ×1.3

CR

15 ×0.4

SURGE

17 ×0.6

PRM

Citations per year, relative to Qihe Huang Qihe Huang (= 1×) peers Mit Shah

Countries citing papers authored by Qihe Huang

Since Specialization

Citations

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

Fields of papers citing papers by Qihe Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qihe Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Qihe Huang. A scholar is included among the top collaborators of Qihe Huang 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 Qihe Huang. Qihe Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Huang, Qihe, et al.. (2024). HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12608–12616. 20 indexed citations

2.

Huang, Qihe, et al.. (2024). Improving Generalization of Dynamic Graph Learning via Environment Prompt. 70048–70075.

3.

Zhou, Zhengyang, Qihe Huang, Kun Wang, et al.. (2023). Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3603–3614. 16 indexed citations

4.

Jiang, Yuan, Ying Yang, Yang Zhang, et al.. (2022). Cytoplasmic sequestration of p53 by lncRNA-CIRPILalleviates myocardial ischemia/reperfusion injury. Communications Biology. 5(1). 716–716. 10 indexed citations

5.

Jin, Xuexin, Yuan Jiang, Genlong Xue, et al.. (2019). Increase of late sodium current contributes to enhanced susceptibility to atrial fibrillation in diabetic mice. European Journal of Pharmacology. 857. 172444–172444. 24 indexed citations

6.

Zhuang, Yuting, Tingting Li, Wanqi Yang, et al.. (2019). Involvement of lncR-30245 in Myocardial Infarction–Induced Cardiac Fibrosis Through Peroxisome Proliferator-Activated Receptor-γ–Mediated Connective Tissue Growth Factor Signalling Pathway. Canadian Journal of Cardiology. 35(4). 480–489. 13 indexed citations

7.

Yan, Gege, Lai Zhang, Chao Feng, et al.. (2018). Blue light emitting diodes irradiation causes cell death in colorectal cancer by inducing ROS production and DNA damage. The International Journal of Biochemistry & Cell Biology. 103. 81–88. 50 indexed citations

8.

Lv, Lifang, Tianyu Li, Xuelian Li, et al.. (2017). The lncRNA Plscr4 Controls Cardiac Hypertrophy by Regulating miR-214. Molecular Therapy — Nucleic Acids. 10. 387–397. 99 indexed citations

9.

Zhang, Yang, Huimin Wang, Yingzhe Wang, et al.. (2017). Increment of late sodium currents in the left atrial myocytes and its potential contribution to increased susceptibility of atrial fibrillation in castrated male mice. Heart Rhythm. 14(7). 1073–1080. 17 indexed citations

10.

Zhang, Yang, Jing‐Hao Wang, Yiyuan Zhang, et al.. (2016). Deletion of interleukin-6 alleviated interstitial fibrosis in streptozotocin-induced diabetic cardiomyopathy of mice through affecting TGFβ1 and miR-29 pathways. Scientific Reports. 6(1). 23010–23010. 101 indexed citations

11.

Huang, Qihe, Jiao Wang, He Lei, & Q. Xu. (2013). Numerical Study of Heat Transfer and Cooling Effectiveness on a Flat-Tip Turbine Blade. 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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