Qingda Liu

1.3k total citations
39 papers, 960 citations indexed

About

Qingda Liu is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry. According to data from OpenAlex, Qingda Liu has authored 39 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 10 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Inorganic Chemistry. Recurrent topics in Qingda Liu's work include Polyoxometalates: Synthesis and Applications (23 papers), Nanocluster Synthesis and Applications (17 papers) and Advanced Nanomaterials in Catalysis (12 papers). Qingda Liu is often cited by papers focused on Polyoxometalates: Synthesis and Applications (23 papers), Nanocluster Synthesis and Applications (17 papers) and Advanced Nanomaterials in Catalysis (12 papers). Qingda Liu collaborates with scholars based in China, United States and Pakistan. Qingda Liu's co-authors include Xun Wang, Wenxiong Shi, Qinghua Zhang, Han‐Shi Hu, Jing Zhuang, Dong Wang, Hongde Yu, Hai Xiao, Zhong Li and Liang Wu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Qingda Liu

36 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingda Liu China 18 722 361 227 197 90 39 960
Xiaofei Xing China 16 661 0.9× 399 1.1× 194 0.9× 391 2.0× 121 1.3× 29 1.1k
Jian‐Nan Zhu China 13 359 0.5× 229 0.6× 184 0.8× 273 1.4× 69 0.8× 28 727
Pengyuan Qiu China 16 599 0.8× 584 1.6× 118 0.5× 273 1.4× 198 2.2× 36 943
Johannes Knossalla Germany 11 587 0.8× 560 1.6× 118 0.5× 385 2.0× 192 2.1× 14 1.0k
Jun‐Hao Zhou China 16 389 0.5× 390 1.1× 155 0.7× 271 1.4× 170 1.9× 35 901
Sebastian Praetz Germany 11 566 0.8× 380 1.1× 265 1.2× 195 1.0× 56 0.6× 20 780
Dan Kong China 13 1.2k 1.6× 1.2k 3.3× 150 0.7× 440 2.2× 62 0.7× 16 1.5k
Xue-Song Wu China 19 530 0.7× 233 0.6× 473 2.1× 415 2.1× 129 1.4× 55 1.1k
Jinglun Yang China 16 685 0.9× 177 0.5× 275 1.2× 274 1.4× 74 0.8× 41 926
Wenguang Leng China 14 596 0.8× 185 0.5× 414 1.8× 82 0.4× 146 1.6× 21 805

Countries citing papers authored by Qingda Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qingda Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingda Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingda Liu. A scholar is included among the top collaborators of Qingda Liu 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 Qingda Liu. Qingda Liu 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.
Lu, Qichen, Fenghua Zhang, Qingda Liu, et al.. (2025). Single-layer cluster ionic-chain networks with tetragonal pores. Nature Communications. 16(1). 5778–5778.
2.
Wang, Xiaoya, Qingda Liu, & Xun Wang. (2025). High‐Entropy Materials: from Bulk to Sub‐nano. Advanced Functional Materials. 35(32). 11 indexed citations
3.
Yang, Wenzhu, Ya‐Jie Liu, Mingyue Wang, et al.. (2025). Giant Five-Shell Polyoxometalate Cages and the Single-Cluster-Based Nanowire Superstructures. Journal of the American Chemical Society. 147(29). 25990–25997. 1 indexed citations
4.
Zhang, Fenghua, Wenxiong Shi, Qingda Liu, & Xun Wang. (2025). Modular assembly of polyoxometalate clusters at the sub-1 nm scale. Nature Protocols. 21(1). 347–372.
5.
Nie, Siyang, Qingda Liu, Liang Wu, & Xun Wang. (2025). Surface entropy-engineering: Towards general synthesis of high entropy subnano-oxides. Nano Research. 19(4). 94908030–94908030.
6.
Yu, Biao, Siyang Nie, Jun Liu, et al.. (2024). Microwave-assisted synthesis of polyoxometalate-Dy2O3 monolayer nanosheets and nanotubes. Nanoscale. 16(18). 8900–8906. 1 indexed citations
7.
Zhang, Fenghua, et al.. (2024). Phase engineering of polyoxometalate assembled superstructures. Nature Synthesis. 3(8). 1039–1048. 12 indexed citations
8.
Liu, Qingda, et al.. (2024). Sub-1 nm Materials Chemistry: Challenges and Prospects. Journal of the American Chemical Society. 146(39). 26587–26602. 17 indexed citations
9.
Xiao, Hai, et al.. (2024). Activating and Stabilizing Lattice Oxygen via Self-Adaptive Zn–NiOOH Sub-Nanowires for Oxygen Evolution Reaction. Journal of the American Chemical Society. 146(42). 29006–29016. 76 indexed citations
10.
Nie, Siyang, et al.. (2024). High-entropy-perovskite subnanowires for photoelectrocatalytic coupling of methane to acetic acid. Nature Communications. 15(1). 6669–6669. 22 indexed citations
11.
Wang, Dong, Feng Yuan, Xuliang Deng, et al.. (2024). Sub‐Nanosheet Induced Inverse Growth of Negative Valency Au Clusters for Tumor Treatment by Enhanced Oxidative Stress. Angewandte Chemie International Edition. 63(40). e202410649–e202410649. 8 indexed citations
12.
Liu, Qingda, et al.. (2024). Tuning the Chirality Evolution in Achiral Subnanometer Systems by Judicious Control of Molecule Interactions. Journal of the American Chemical Society. 146(18). 12819–12827. 23 indexed citations
13.
Zhang, Ling, Peilei He, Chen Huang, et al.. (2023). Real-time identification of multiple nanoclusters with a protein nanopore in single-cluster level. Nano Research. 17(1). 262–269. 2 indexed citations
14.
Li, Zhong, Zihe Zhang, Han‐Shi Hu, Qingda Liu, & Xun Wang. (2023). Synthesis of two-dimensional polyoxoniobate-based clusterphenes with in-plane electron delocalization. Nature Synthesis. 2(10). 989–997. 28 indexed citations
15.
Li, Zhong, Qingda Liu, & Xun Wang. (2023). Two-dimensional cluster-assembled materials with properties beyond their individualities and bulks. Matter. 6(11). 3747–3762. 8 indexed citations
16.
Liu, Qingda, Qinghua Zhang, Wenxiong Shi, et al.. (2022). Self-assembly of polyoxometalate clusters into two-dimensional clusterphene structures featuring hexagonal pores. Nature Chemistry. 14(4). 433–440. 125 indexed citations
17.
Liu, Qingda & Xun Wang. (2022). Precise Assembly of Polyoxometalates at Single‐cluster Levels. Angewandte Chemie International Edition. 62(11). e202217764–e202217764. 45 indexed citations
18.
Liu, Qingda, et al.. (2022). Visible Light Induced Ag–Polyoxometalate Coassembly into Single‐Cluster Nanowires. Advanced Materials. 34(40). e2206178–e2206178. 41 indexed citations
19.
Liu, Qingda, Peilei He, Hongde Yu, et al.. (2019). Single molecule–mediated assembly of polyoxometalate single-cluster rings and their three-dimensional superstructures. Science Advances. 5(7). eaax1081–eaax1081. 76 indexed citations
20.
Ullah, Shaheed, Bilal Akram, Hao Zhang, et al.. (2019). 2-Methylimidazole assisted ultrafast synthesis of carboxylate-based metal–organic framework nano-structures in aqueous medium at room temperature. Science Bulletin. 64(15). 1103–1109. 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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