Tianyu Hu

408 total citations
25 papers, 251 citations indexed

About

Tianyu Hu is a scholar working on Neurology, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tianyu Hu has authored 25 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Tianyu Hu's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Energy Load and Power Forecasting (5 papers) and Wind Energy Research and Development (5 papers). Tianyu Hu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Energy Load and Power Forecasting (5 papers) and Wind Energy Research and Development (5 papers). Tianyu Hu collaborates with scholars based in China, United Kingdom and United States. Tianyu Hu's co-authors include Zhile Yang, Yuanjun Guo, Shiyu Li, Jian Wang, Yilin Tang, Yun Fan, Xiaoniu Liang, Lidong Zhang, Linlin Han and Seán McLoone and has published in prestigious journals such as Cerebral Cortex, Energy and Renewable Energy.

In The Last Decade

Tianyu Hu

22 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyu Hu China 10 80 56 45 28 23 25 251
Yuan Jiao China 9 70 0.9× 42 0.8× 9 0.2× 7 0.3× 6 0.3× 33 362
Xiaoqiang Ji China 11 34 0.4× 13 0.2× 36 0.8× 26 0.9× 5 0.2× 58 313
Stanislav Panev United States 6 89 1.1× 75 1.3× 25 0.6× 20 0.7× 13 0.6× 11 274
Yide Zhou China 7 175 2.2× 9 0.2× 38 0.8× 13 0.5× 5 0.2× 14 350
Jacek Jakubowski Poland 10 63 0.8× 50 0.9× 10 0.2× 32 1.1× 21 0.9× 46 289
Jacopo Tosi Italy 5 66 0.8× 93 1.7× 8 0.2× 10 0.4× 27 1.2× 7 304
Vinodh Kumar Elumalai India 10 22 0.3× 66 1.2× 19 0.4× 40 1.4× 5 0.2× 26 343
Zhenjia Lin China 9 46 0.6× 14 0.3× 5 0.1× 21 0.8× 42 1.8× 19 275
Ferdian Jovan United Kingdom 8 15 0.2× 13 0.2× 30 0.7× 19 0.7× 9 0.4× 18 158
Fahmida Haque Malaysia 12 71 0.9× 36 0.6× 4 0.1× 39 1.4× 29 1.3× 35 381

Countries citing papers authored by Tianyu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Hu. A scholar is included among the top collaborators of Tianyu Hu 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 Tianyu Hu. Tianyu Hu 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.
Hu, Tianyu, et al.. (2025). GIS partial discharge diagnosis method under sample imbalance conditions. International Journal of Electrical Power & Energy Systems. 169. 110808–110808.
2.
Li, Shiyu, Fangyang Jiao, Tianyu Hu, et al.. (2025). Plasma GFAP and NfL associate with cerebral glucose metabolism in putative brain-first and body-first Parkinson’s disease subtypes. npj Parkinson s Disease. 11(1). 54–54. 1 indexed citations
3.
Tian, Shilin, et al.. (2025). Investigation of the wake blending of wind turbines with different capacities in a tandem configuration using LES. Journal of Renewable and Sustainable Energy. 17(3).
4.
Hu, Tianyu, et al.. (2024). BCFNET: Boundary-Guided Semantic Cross Fusion for Polyp Segmentation. 1–4. 2 indexed citations
5.
Hu, Tianyu, et al.. (2024). Wind tunnel experimental investigation of wake characteristics and turbulent mixing in tandem-arranged wind turbines. Ocean Engineering. 317. 119967–119967. 5 indexed citations
6.
Hu, Tianyu, et al.. (2024). Wind Farm Layout Optimization Based on Dynamic Opposite Learning‐Enhanced Sparrow Search Algorithm. International Journal of Energy Research. 2024(1). 4 indexed citations
7.
Hu, Tianyu, Xiaoniu Liang, Shiyu Li, et al.. (2024). Disease progression in proposed brain-first and body-first Parkinson’s disease subtypes. npj Parkinson s Disease. 10(1). 111–111. 13 indexed citations
8.
Hu, Tianyu, et al.. (2024). Research on wind turbine icing prediction data processing and accuracy of machine learning algorithm. Renewable Energy. 237. 121566–121566. 1 indexed citations
9.
Wang, Huafeng, et al.. (2024). Unveiling camouflaged and partially occluded colorectal polyps: Introducing CPSNet for accurate colon polyp segmentation. Computers in Biology and Medicine. 171. 108186–108186. 3 indexed citations
10.
Jin, Lirong, Weijie Chen, Tianyu Hu, et al.. (2024). Using a smartphone-based self-management platform to study sex differences in Parkinson’s disease: multicenter, cross-sectional pilot study. BMC Medical Informatics and Decision Making. 24(1). 176–176. 1 indexed citations
11.
Zhang, Lidong, Tianyu Hu, Zhile Yang, et al.. (2023). A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate–fin heat exchanger design optimization. Engineering Applications of Artificial Intelligence. 119. 105778–105778. 32 indexed citations
12.
Zhang, Lidong, Jiao Li, Xiandong Xu, et al.. (2023). High spatial granularity residential heating load forecast based on Dendrite net model. Energy. 269. 126787–126787. 25 indexed citations
13.
Wu, Lei, Shiyu Li, Yilin Tang, et al.. (2023). Quality of life: Seasonal fluctuation in Parkinson's disease. Frontiers in Neurology. 13. 1035721–1035721. 2 indexed citations
14.
Tang, Yilin, Linlin Han, Shiyu Li, et al.. (2023). Plasma GFAP in Parkinson’s disease with cognitive impairment and its potential to predict conversion to dementia. npj Parkinson s Disease. 9(1). 23–23. 42 indexed citations
15.
Wang, Yan, Chengyu Jin, Tianyu Hu, et al.. (2022). A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer. Symmetry. 14(9). 1871–1871. 5 indexed citations
16.
Yang, Zhile, Tianyu Hu, Juncheng Zhu, et al.. (2022). Hierarchical High-Resolution Load Forecasting for Electric Vehicle Charging: A Deep Learning Approach. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 4(1). 118–127. 24 indexed citations
17.
Tang, Yilin, Tianyu Hu, Fangyang Jiao, et al.. (2022). In Vivo 18F‐Florzolotau Tau Positron Emission Tomography Imaging in Parkinson's Disease Dementia. Movement Disorders. 38(1). 147–152. 14 indexed citations
18.
Fan, Yun, Mengwei Zhang, Xiaoniu Liang, et al.. (2021). Determinants of quality of life in Parkinson’s disease: a perspective of novel clinical subtypes. Annals of Clinical and Translational Neurology. 8(11). 2174–2183. 3 indexed citations
19.
Hu, Tianyu, et al.. (2021). Elite and dynamic opposite learning enhanced sine cosine algorithm for application to plat-fin heat exchangers design problem. Neural Computing and Applications. 35(17). 12401–12414. 15 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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