Da Wang

4.1k total citations · 2 hit papers
106 papers, 3.1k citations indexed

About

Da Wang is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Da Wang has authored 106 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 22 papers in Molecular Biology and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Da Wang's work include Quantum Dots Synthesis And Properties (8 papers), Nanocluster Synthesis and Applications (7 papers) and Pickering emulsions and particle stabilization (7 papers). Da Wang is often cited by papers focused on Quantum Dots Synthesis And Properties (8 papers), Nanocluster Synthesis and Applications (7 papers) and Pickering emulsions and particle stabilization (7 papers). Da Wang collaborates with scholars based in China, United States and Belgium. Da Wang's co-authors include Sara Bals, Wangqing Zhang, Siling Wang, Qinfu Zhao, Yue Chen, Xiaoyan Tang, Min Xu, Alfons van Blaaderen, Chao Wang and Yuan Hong and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Da Wang

99 papers receiving 3.1k citations

Hit Papers

Human organoids in basic research and clinical applications 2021 2026 2022 2024 2022 2021 50 100 150 200 250
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.

  1. Human organoids in basic research and clinical applications
    2022 278 citations Xiaoyan Tang, Da Wang et al. profile →
  2. Progress and Perspective: MXene and MXene‐Based Nanomaterials for High‐Performance Energy Storage Devices
    2021 247 citations Da Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Wang China 31 1.1k 731 681 623 411 106 3.1k
Kai Xia China 33 716 0.6× 707 1.0× 614 0.9× 699 1.1× 281 0.7× 149 2.8k
Wei Xue China 37 1.7k 1.5× 744 1.0× 977 1.4× 1.2k 2.0× 338 0.8× 205 4.8k
Sierin Lim Singapore 32 1.1k 0.9× 735 1.0× 957 1.4× 971 1.6× 291 0.7× 118 3.4k
Zhuo Liu China 33 1.1k 1.0× 546 0.7× 896 1.3× 540 0.9× 696 1.7× 144 3.2k
Huihui Yang China 30 1.5k 1.3× 660 0.9× 775 1.1× 1.1k 1.7× 214 0.5× 128 3.4k
Zhijun Liu China 33 1.3k 1.1× 774 1.1× 860 1.3× 426 0.7× 263 0.6× 201 3.5k
Xiaobin Zhang China 37 1.4k 1.2× 560 0.8× 1.0k 1.5× 998 1.6× 365 0.9× 176 4.4k
K. Swaminathan Iyer Australia 36 901 0.8× 491 0.7× 1.2k 1.8× 997 1.6× 214 0.5× 149 3.9k
Minghui Li China 37 1.8k 1.6× 1.2k 1.6× 1.5k 2.1× 595 1.0× 412 1.0× 166 4.9k

Countries citing papers authored by Da Wang

Since Specialization
Citations

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

Fields of papers citing papers by Da Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Da Wang. A scholar is included among the top collaborators of Da Wang 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 Da Wang. Da Wang 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.
Xu, Zhicheng, Mingfeng Zhong, Shuwei Li, et al.. (2025). One-Step Hydrothermal Method Realizing Oxygen Vacancy Construction and P Doping of MnO2 to Optimize Its Oxygen Evolution Performance. Inorganic Chemistry. 64(10). 5029–5037. 1 indexed citations
2.
3.
Wei, Linfeng, Haoyuan Zhang, Y. Zhou, et al.. (2025). Dopant-Assisted Crystallization Enables Germanium Quantum Dots with Enhanced Product Yields and Optoelectronic Properties. Journal of the American Chemical Society. 147(10). 8125–8131. 4 indexed citations
4.
Li, Wang, et al.. (2025). A method for ultra-short-term wind power forecasting of large-scale wind farms based on adaptive spatiotemporal graph convolution. Renewable Energy. 249. 123321–123321. 1 indexed citations
5.
6.
Yang, Mao, Da Wang, & Wei Zhang. (2023). A short-term wind power prediction method based on dynamic and static feature fusion mining. Energy. 280. 128226–128226. 34 indexed citations
7.
Xu, Zhicheng, Xueqin Ran, Zhijie Zhang, et al.. (2023). Designing a solar interfacial evaporator based on tree structures for great coordination of water transport and salt rejection. Materials Horizons. 10(5). 1737–1744. 36 indexed citations
8.
Wang, Da, Daniel Arenas Esteban, Ana Sánchez‐Iglesias, et al.. (2023). Electron Tomography in Liquids: Characterizing Nanoparticle Self-Assemblies in a Relevant Environment. Microscopy and Microanalysis. 29(Supplement_1). 1401–1402. 1 indexed citations
9.
Chen, Yunmin, Da Wang, Yunfei Hou, et al.. (2023). Effective Conditions for Achieving Carbon Unlocking Targets for Transport Infrastructure Development—Joint Analysis Based on PLS-SEM and NCA. International Journal of Environmental Research and Public Health. 20(2). 1170–1170. 13 indexed citations
10.
Mosquera, Jesús, Da Wang, Sara Bals, & Luis M. Liz‐Marzán. (2023). Surfactant Layers on Gold Nanorods. Accounts of Chemical Research. 56(10). 1204–1212. 52 indexed citations
11.
12.
Tang, Xiaoyan, Jingshen Wang, Yuan Hong, et al.. (2021). DSCAM/PAK1 pathway suppression reverses neurogenesis deficits in iPSC-derived cerebral organoids from patients with Down syndrome. Journal of Clinical Investigation. 131(12). 89 indexed citations
13.
Yan, Yu, et al.. (2016). Comorbidity as an independent prognostic factor in elderly patients with peripheral T-cell lymphoma. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Zhang, Xuemei, et al.. (2016). [Expressions and Clinical Significance of Autophagy-related Genes ATG2B, ATG4D, ATG9B in Breast Carcinoma].. PubMed. 47(2). 184–8. 4 indexed citations
15.
Wang, Da. (2014). Preparation and Properties of Poly(propylene carbonate)-Polylactic Acid Melt Blend Spun Fibers. 2 indexed citations
16.
Wang, Da. (2013). Operation Efficiency Evaluation of Liaoning Container Terminals Based on Superefficiency DEA. Logistics Sci-tech. 1 indexed citations
17.
18.
Wang, Da. (2002). QUANTUM CHEMISTRY STUDY ON CONDENSATION MECHANISM OF ALKYLPHENOL POLYOXYETHYLENE CATALYZED BY ACID AND BASE CATALYSTS. 1 indexed citations
19.
Wang, Da. (1995). Taxonomic revision of the genus Gibbibarbus Dai. 5 indexed citations
20.
Wang, Da. (1993). CHEMICAL CONSTITUENTS FROM PICRORHIZA SCROPHULARIIFLORA. Acta Botanica Yunnanica. 21 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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