Hao Sha

796 total citations · 1 hit paper
34 papers, 568 citations indexed

About

Hao Sha is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hao Sha has authored 34 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Condensed Matter Physics, 9 papers in Electronic, Optical and Magnetic Materials and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hao Sha's work include Magnetic and transport properties of perovskites and related materials (8 papers), Advanced Condensed Matter Physics (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Hao Sha is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (8 papers), Advanced Condensed Matter Physics (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Hao Sha collaborates with scholars based in China, United States and Japan. Hao Sha's co-authors include Dongyue Zhao, Shangcong Sun, Zhijian Da, Tiantian Cao, Chuankun Zhang, Qiuqiao Jiang, Nongjian Tao, Caiying Li, Jiandi Zhang and J. A. Fernandez‐Baca and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Sha

28 papers receiving 556 citations

Hit Papers

Ammonia as hydrogen carrier: Advances in ammonia decompos... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Sha China 12 225 187 120 107 100 34 568
Tsubasa Kobayashi Japan 12 118 0.5× 35 0.2× 76 0.6× 35 0.3× 113 1.1× 33 451
Manish Kumar India 16 429 1.9× 37 0.2× 100 0.8× 12 0.1× 354 3.5× 64 846
Xiaoyu Geng China 11 433 1.9× 38 0.2× 132 1.1× 28 0.3× 263 2.6× 24 567
Xiaoming Wang China 14 441 2.0× 28 0.1× 58 0.5× 22 0.2× 710 7.1× 99 1.1k
Tomohiro Yokoyama Japan 17 229 1.0× 95 0.5× 72 0.6× 285 2.7× 267 2.7× 67 1.1k
Kyle Bystrom United States 6 654 2.9× 49 0.3× 28 0.2× 18 0.2× 182 1.8× 6 760
Tian Lan China 11 114 0.5× 92 0.5× 16 0.1× 23 0.2× 122 1.2× 48 334
Sida Huang China 13 671 3.0× 209 1.1× 74 0.6× 9 0.1× 142 1.4× 23 900
V. Anbarasu India 14 372 1.7× 11 0.1× 280 2.3× 72 0.7× 216 2.2× 51 627

Countries citing papers authored by Hao Sha

Since Specialization
Citations

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

Fields of papers citing papers by Hao Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Sha. A scholar is included among the top collaborators of Hao Sha 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 Sha. Hao Sha 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.
Sha, Hao, Yongbing Zhang, Ran Liu, et al.. (2025). Single molecule spectrum dynamics imaging with 3D target-locking tracking. Nature Communications. 16(1). 8686–8686. 1 indexed citations
2.
Sha, Hao, Ri Zhou, Yu Wu, et al.. (2025). Rational development of Nile red derivatives with significantly improved specificity and photostability for advanced fluorescence imaging of lipid droplets. Biosensors and Bioelectronics. 282. 117494–117494. 2 indexed citations
3.
Sha, Hao, et al.. (2025). Enhancing diffusion estimation in single-particle experiments through motion change analysis using deep learning. Journal of Physics Photonics. 7(3). 35006–35006.
4.
Sha, Hao, Qijun Wang, Jinglin Huang, et al.. (2025). Research of tungsten-doped diamond: First-principles studies. Journal of Nuclear Materials. 617. 156158–156158.
5.
Chen, Xiangyu, et al.. (2025). Adaptive lensless microscopic imaging with unknown phase modulation. Biomedical Optics Express. 16(3). 1160–1160.
6.
Sha, Hao, Yongbing Zhang, Shuai Liu, et al.. (2024). Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nature Computational Science. 4(10). 761–772. 5 indexed citations
7.
Sha, Hao, et al.. (2023). Deep learning-enhanced single-molecule spectrum imaging. APL Photonics. 8(9). 8 indexed citations
8.
Jiang, Yuan, Hao Sha, Shuai Liu, Peiwu Qin, & Yongbing Zhang. (2023). AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. Biomedical Optics Express. 14(9). 4814–4814. 5 indexed citations
9.
Sha, Hao, Li Zhang, Kang Tu, et al.. (2022). Detection of Alternaria alternata infection in winter jujubes based on optical properties and their correlation with internal quality parameters during storage. Food Chemistry. 409. 135298–135298. 17 indexed citations
10.
Liu, Shuai, Peng Li, Hao Sha, et al.. (2022). Intensity and phase imaging through scattering media via deep despeckle complex neural networks. Optics and Lasers in Engineering. 159. 107196–107196. 4 indexed citations
11.
Sun, Shangcong, Qiuqiao Jiang, Dongyue Zhao, et al.. (2022). Ammonia as hydrogen carrier: Advances in ammonia decomposition catalysts for promising hydrogen production. Renewable and Sustainable Energy Reviews. 169. 112918–112918. 229 indexed citations breakdown →
12.
Wong, Johnson, et al.. (2020). Automated Corn Ear Height Prediction Using Video-Based Deep Learning. 2371–2374. 4 indexed citations
13.
Mei, C. & Hao Sha. (2015). Analytical and experimental study of vibrations in simple spatial structures. Journal of Vibration and Control. 22(17). 3711–3735. 11 indexed citations
14.
Jiang, Ping & Hao Sha. (2013). Image De-Nosing Based on Non-Subsampled Contourlet Transform Domain in Multi-Bessel K Form Model. Research Journal of Applied Sciences Engineering and Technology. 6(18). 3400–3403.
15.
Russo, Peter L., Jun Sugiyama, J. H. Brewer, et al.. (2009). Muon spin rotation and relaxation study ofBa2CoO4. Physical Review B. 80(10). 11 indexed citations
16.
Zhang, Jiandi, Feng Ye, Hao Sha, et al.. (2007). Magnons in ferromagnetic metallic manganites. 28 indexed citations
17.
Ye, Feng, Pengcheng Dai, J. A. Fernandez‐Baca, et al.. (2006). Evolution of Spin-Wave Excitations in Ferromagnetic Metallic Manganites. Physical Review Letters. 96(4). 47204–47204. 38 indexed citations
18.
Shen, Bo, Hao Sha, Hong‐Ling Cai, et al.. (2004). MICROSTRUCTURES AND STRAIN RELAXATION IN MODULATION-DOPED AlxGa1-xN/GaN HETEROSTRUCTURES. International Journal of Modern Physics B. 18(7). 989–998. 3 indexed citations
19.
Sha, Hao, Xiaoshan Wu, Yongbing Xu, A. Hu, & Shuqing Jiang. (2004). X-Ray Diffraction Studies on Yttrium-Doped La0.67Ca0.33MnO3. Journal of Superconductivity. 17(2). 247–251. 9 indexed citations
20.
Wu, Xiaoshan, Hao Sha, Tao Yu, et al.. (2002). The crystal structure of La 0.7 Pr 0.3 Ba 2 Cu 3 O d ceramic compound. Powder Diffraction. 17(1). 25–29. 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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