Haodong Yao

1.1k total citations · 1 hit paper
23 papers, 844 citations indexed

About

Haodong Yao is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Haodong Yao has authored 23 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Haodong Yao's work include Machine Learning in Materials Science (6 papers), Nanoplatforms for cancer theranostics (5 papers) and Nanocluster Synthesis and Applications (4 papers). Haodong Yao is often cited by papers focused on Machine Learning in Materials Science (6 papers), Nanoplatforms for cancer theranostics (5 papers) and Nanocluster Synthesis and Applications (4 papers). Haodong Yao collaborates with scholars based in China, Australia and United Kingdom. Haodong Yao's co-authors include Lina Zhao, Liyuan Wu, Deting Xu, Xiaofeng Wang, Chunying Chen, Yuliang Zhao, Mengyu Guo, Yaling Wang, Ching‐Tai Ng and Rong Cai and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Haodong Yao

17 papers receiving 827 citations

Hit Papers

align trajectories sort by overperformance

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.

Catalase‐Like Nanozymes: Classification, Catalytic Mechanisms, and Their Applications

2022 282 citations Deting Xu, Liyuan Wu et al. Small profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haodong Yao China	10	424	360	256	154	92	23	844
Jia Zhang China	18	333 0.8×	460 1.3×	351 1.4×	127 0.8×	111 1.2×	71	1.1k
Marzieh Ramezani Farani Iran	16	236 0.6×	313 0.9×	166 0.6×	171 1.1×	49 0.5×	46	783
Yan He China	16	172 0.4×	325 0.9×	241 0.9×	112 0.7×	270 2.9×	85	962
Tianzheng Wang China	13	244 0.6×	259 0.7×	105 0.4×	121 0.8×	76 0.8×	49	604
Hongxue Li China	14	198 0.5×	482 1.3×	273 1.1×	117 0.8×	29 0.3×	35	928
Zheng Cao China	14	184 0.4×	181 0.5×	151 0.6×	59 0.4×	53 0.6×	47	647
Kyungmok Kim South Korea	18	273 0.6×	184 0.5×	196 0.8×	179 1.2×	145 1.6×	75	1.2k
Liu Gan China	10	358 0.8×	640 1.8×	307 1.2×	565 3.7×	56 0.6×	45	1.2k
Tan Li China	14	200 0.5×	578 1.6×	131 0.5×	151 1.0×	35 0.4×	28	705

Countries citing papers authored by Haodong Yao

Since Specialization

Citations

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

Fields of papers citing papers by Haodong Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haodong Yao

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

All Works

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20 of 20 papers shown

Guo, Mengyu, Jincheng Guo, Haodong Yao, et al.. (2025). Adjuvant-metal-ion-chelating PTEN mRNA with cell-membrane-coating augments the immune sensitivity for precise cancer immunotherapy. Science Bulletin. 71(3). 609–622.

Fang, Hao, Lingna Zheng, Bo Huang, et al.. (2025). Multimodal Mass Spectrometry Imaging with a Metal-Based Alignment Tool Enables Targeted Single-Cell Boronophenylalanine Uptake and Metabolic Profiling in Glioblastoma Tumors. Analytical Chemistry. 97(49). 27122–27132.

Han, Xue, Haodong Yao, Fei Zhan, et al.. (2025). A new framework for X-ray absorption spectroscopy data analysis based on machine learning: XASDAML. Journal of Synchrotron Radiation. 32(5). 1244–1256.

Yao, Haodong, et al.. (2025). A study on fast recognition of multi-class bridge damage based on improved Siamese ResNet50 with limited samples. Engineering Structures. 349. 121781–121781.

Zhan, Fei, Haodong Yao, Lirong Zheng, et al.. (2025). A Graph Neural Network-Based Approach to XANES Data Analysis. The Journal of Physical Chemistry A. 129(4). 874–884. 2 indexed citations

Song, Xiaoqing, Haodong Yao, Fei Zhan, et al.. (2025). XASDB: a new database of experimental interactive X-ray absorption spectra. Journal of Synchrotron Radiation. 32(5). 1265–1271.

Yao, Haodong, et al.. (2024). Quantitative Three-Dimensional Imaging Analysis of HfO₂ Nanoparticles in Single Cells via Deep Learning Aided X-ray Nano-Computed Tomography. ACS Nano. 18(33). 22378–22389. 1 indexed citations

Shi, Ying, Kefeng Pu, Haodong Yao, et al.. (2023). Gold Nanorods Inhibit Tumor Metastasis by Regulating MMP-9 Activity: Implications for Radiotherapy. ACS Applied Materials & Interfaces. 15(7). 9034–9043. 5 indexed citations

Xu, Deting, Wenyan Yin, Jie Zhou, et al.. (2023). Rational design of MoS₂-supported Cu single-atom catalysts by machine learning potential for enhanced peroxidase-like activity. Nanoscale. 15(14). 6686–6695. 9 indexed citations

10.

Zheng, Dong, Liyuan Wu, Haodong Yao, et al.. (2023). Fast extraction of three-dimensional nanofiber orientation from WAXD patterns using machine learning. IUCrJ. 10(3). 297–308. 7 indexed citations

11.

Yao, Haodong, et al.. (2022). The classification and localization of crack using lightweight convolutional neural network with CBAM. Engineering Structures. 275. 115291–115291. 62 indexed citations

12.

Zhao, Xiaoxiao, Da‐Yong Hou, Haodong Yao, et al.. (2022). A bioactivated in vivo assembly nanotechnology fabricated NIR probe for small pancreatic tumor intraoperative imaging. Nature Communications. 13(1). 418–418. 65 indexed citations

13.

Xu, Deting, Liyuan Wu, Haodong Yao, & Lina Zhao. (2022). Catalase‐Like Nanozymes: Classification, Catalytic Mechanisms, and Their Applications. Small. 18(37). e2203400–e2203400. 282 indexed citations breakdown →

14.

Niu, Wenchao, Chunyu Zhang, Deting Xu, et al.. (2022). Broken electron transfer pathway in enzyme: Gold clusters inhibiting TrxR1/Trx via cell studies and theory simulations. Chinese Chemical Letters. 33(7). 3488–3491. 5 indexed citations

15.

Cao, Mingjing, Rong Cai, Lina Zhao, et al.. (2021). Molybdenum derived from nanomaterials incorporates into molybdenum enzymes and affects their activities in vivo. Nature Nanotechnology. 16(6). 708–716. 212 indexed citations

16.

Mamuti, Muhetaerjiang, Xiaofeng Wang, Haodong Yao, et al.. (2021). Rationally designed modular drug delivery platform based on intracellular peptide self‐assembly. SHILAP Revista de lepidopterología. 1(2). 20210153–20210153. 68 indexed citations

17.

Guo, Mengyu, Lina Zhao, Jing Liu, et al.. (2021). The Underlying Function and Structural Organization of the Intracellular Protein Corona on Graphdiyne Oxide Nanosheet for Local Immunomodulation. Nano Letters. 21(14). 6005–6013. 78 indexed citations

18.

Li, Yinghao, et al.. (2019). Screen efficiency comparisons of decision tree and neural network algorithms in machine learning assisted drug design. Science China Chemistry. 62(4). 506–514. 14 indexed citations

19.

Gao, Fuping, Xueyun Gao, Wenchao Niu, et al.. (2019). Glutathione-Coated Au₂₉(SG)₂₇: Structural Determination Based on Different Combination Styles Confirmed by Experiments. The Journal of Physical Chemistry C. 123(22). 13951–13957. 3 indexed citations

20.

Zhang, Hong, et al.. (2018). Machine learning methods for research highlight prediction in biomedical effects of nanomaterial application. Pattern Recognition Letters. 117. 111–118. 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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