Hao Sheng

1.2k total citations · 1 hit paper
18 papers, 726 citations indexed

About

Hao Sheng is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Hao Sheng has authored 18 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Hao Sheng's work include Neuroscience and Neural Engineering (6 papers), Photoreceptor and optogenetics research (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Hao Sheng is often cited by papers focused on Neuroscience and Neural Engineering (6 papers), Photoreceptor and optogenetics research (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Hao Sheng collaborates with scholars based in China, United States and Iran. Hao Sheng's co-authors include Zhigang Suo, Jia Liu, Zuwan Lin, Qiang Li, Sibo Cheng, Mei Xiang Wang, Yuan He, Keren Dai, Paul Le Floch and Kewang Nan and has published in prestigious journals such as Cell, Nano Letters and Nature Neuroscience.

In The Last Decade

Hao Sheng

16 papers receiving 717 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer’s disease

2023 105 citations Hu Zeng, Jiahao Huang et al. Nature Neuroscience profile →

Peers

Hao Sheng

BE

PP

CMN

MB

CN

Gengsheng Mao China

Shang Song United States

Kelly W. McConnell United States

Fei Jin China

Aleksander Promiński United States

Alix Trouillet United States

Soo Hyun Lee South Korea

Yizhu Shan China

Lee W. Tien United States

Xiaoyin Liu China

Gengsheng Mao China

Hao Sheng

305 ×0.8

BE

134 ×0.6

PP

108 ×0.6

CMN

85 ×0.7

MB

44 ×0.5

CN

Citations per year, relative to Hao Sheng Hao Sheng (= 1×) peers Gengsheng Mao

Countries citing papers authored by Hao Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Hao Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Sheng

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

All Works

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18 of 18 papers shown

1.

Sheng, Hao, Yingying Zhang, Ruixuan Cong, et al.. (2025). Deep-learning based colorectal cancer pathological analysis with hyperspectral light field microscopy. iScience. 28(8). 112987–112987.

2.

Sheng, Hao, et al.. (2024). Lap-slip model of rebar-to-concrete in RC/ECC/UHPC based on GA-BP neural network. Case Studies in Construction Materials. 20. e03287–e03287. 5 indexed citations

3.

Liu, Ren, et al.. (2024). In Vivo Neural Stimulation and Recording using Flexible Bioelectronics. 1–4.

4.

Li, Yang, Hao Sheng, Chibing Huang, et al.. (2024). Luminol-conjugated cyclodextrin biological nanoparticles for the treatment of severe burn-induced intestinal barrier disruption. Burns & Trauma. 12. tkad054–tkad054. 2 indexed citations

5.

Sheng, Hao, et al.. (2024). Estimation and interpretation of interfacial bond in concrete-filled steel tube by using optimized XGBoost and SHAP. Structures. 70. 107669–107669. 6 indexed citations

6.

Wang, Yizhen, et al.. (2024). Optimizing wind turbine integration in microgrids through enhanced multi-control of energy storage and micro-resources for enhanced stability. Journal of Cleaner Production. 444. 140965–140965. 13 indexed citations

7.

Sheng, Hao, et al.. (2023). A shear-lag model for laminated beams with extreme modulus mismatch between layers. Mechanics of Materials. 188. 104844–104844. 9 indexed citations

8.

Li, Qiang, Zuwan Lin, Ren Liu, et al.. (2023). Multimodal charting of molecular and functional cell states via in situ electro-sequencing. Cell. 186(9). 2002–2017.e21. 24 indexed citations

9.

Zeng, Hu, Jiahao Huang, Haowen Zhou, et al.. (2023). Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer’s disease. Nature Neuroscience. 26(3). 430–446. 105 indexed citations breakdown →

10.

Lin, Zuwan, Jessica C. Garbern, Ren Liu, et al.. (2023). Tissue-embedded stretchable nanoelectronics reveal endothelial cell–mediated electrical maturation of human 3D cardiac microtissues. Science Advances. 9(10). eade8513–eade8513. 29 indexed citations

11.

Wang, Mengqi, Hao Sheng, Liang Zhu, et al.. (2021). Subdural neural interfaces for long-term electrical recording, optical microscopy and magnetic resonance imaging. Biomaterials. 281. 121352–121352. 19 indexed citations

12.

Mu, Ruojun, Jiawei Yang, Yecheng Wang, et al.. (2020). Polymer-filled macroporous hydrogel for low friction. Extreme Mechanics Letters. 38. 100742–100742. 26 indexed citations

13.

Sheng, Hao, et al.. (2020). Preparation of MWCNT/Ba0.2Sr0.2La0.6MnO3/PANI nanocomposites and investigation of its electromagnetic properties in KU-band. International Journal of the Physical Sciences. 15(4). 171–181. 7 indexed citations

14.

He, Yuan, Sibo Cheng, Hao Sheng, et al.. (2019). Self‐Healing, Adhesive, and Highly Stretchable Ionogel as a Strain Sensor for Extremely Large Deformation. Small. 15(21). e1804651–e1804651. 253 indexed citations

15.

Sheng, Hao, et al.. (2019). Neural interfaces by hydrogels. IBRO Reports. 6. S394–S394. 2 indexed citations

16.

Sheng, Hao, Ning Kong, Xi Wang, et al.. (2019). Neural interfaces by hydrogels. Extreme Mechanics Letters. 30. 100510–100510. 61 indexed citations

17.

Li, Qiang, Kewang Nan, Paul Le Floch, et al.. (2019). Cyborg Organoids: Implantation of Nanoelectronics via Organogenesis for Tissue-Wide Electrophysiology. Nano Letters. 19(8). 5781–5789. 159 indexed citations

18.

Tang, Jingda, Chenghai Li, Zengyao Lv, et al.. (2018). Phase-separation induced extraordinary toughening of magnetic hydrogels. Journal of Applied Physics. 123(18). 6 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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