Dongqi Wang

6.3k total citations · 1 hit paper
235 papers, 5.3k citations indexed

About

Dongqi Wang is a scholar working on Materials Chemistry, Inorganic Chemistry and Organic Chemistry. According to data from OpenAlex, Dongqi Wang has authored 235 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Materials Chemistry, 79 papers in Inorganic Chemistry and 52 papers in Organic Chemistry. Recurrent topics in Dongqi Wang's work include Radioactive element chemistry and processing (42 papers), Catalysis and Oxidation Reactions (33 papers) and Catalytic Processes in Materials Science (33 papers). Dongqi Wang is often cited by papers focused on Radioactive element chemistry and processing (42 papers), Catalysis and Oxidation Reactions (33 papers) and Catalytic Processes in Materials Science (33 papers). Dongqi Wang collaborates with scholars based in China, Hong Kong and Switzerland. Dongqi Wang's co-authors include An‐Hui Lu, Zhifang Chai, Walter Thiel, David Lee Phillips, Lei Shi, Wilfred F. van Gunsteren, Wen‐Duo Lu, Michael D. Buschmann, Acácio G. Rodrigues and Ajay Gupta and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Dongqi Wang

220 papers receiving 5.2k citations

Hit Papers

A validated 1H NMR method for the determination of the de... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongqi Wang China 36 1.8k 1.5k 1.5k 881 641 235 5.3k
Juan Zhang China 46 2.2k 1.2× 1.2k 0.8× 1.2k 0.8× 427 0.5× 1.0k 1.6× 315 6.8k
Ming Wang China 50 2.8k 1.5× 1.4k 0.9× 2.6k 1.8× 427 0.5× 636 1.0× 302 8.2k
Ning Zhang China 43 3.1k 1.7× 1.3k 0.8× 2.0k 1.3× 396 0.4× 593 0.9× 333 7.1k
Antonio Doménech‐Carbó Spain 41 2.5k 1.3× 1.1k 0.7× 1.1k 0.7× 334 0.4× 517 0.8× 384 7.3k
Xiaoming Zhang China 40 3.1k 1.7× 878 0.6× 1.0k 0.7× 546 0.6× 356 0.6× 172 5.3k
Ping Liu China 43 2.6k 1.4× 2.2k 1.5× 1.5k 1.0× 239 0.3× 1.1k 1.8× 239 6.4k
Ivo Leito Estonia 60 1.2k 0.7× 1.8k 1.2× 4.8k 3.2× 708 0.8× 1.7k 2.7× 317 11.9k
Mats Jönsson Sweden 46 2.7k 1.4× 1.7k 1.1× 1.4k 0.9× 207 0.2× 1.2k 1.9× 251 7.1k
Hugh D. Burrows Portugal 49 4.6k 2.5× 1.2k 0.8× 2.3k 1.5× 294 0.3× 894 1.4× 390 10.3k

Countries citing papers authored by Dongqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dongqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongqi Wang. A scholar is included among the top collaborators of Dongqi 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 Dongqi Wang. Dongqi 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.
Liu, Ziyi, et al.. (2025). The multiface of boron in boron-based propane oxidative dehydrogenation. 3(2). 100125–100125.
2.
Bian, Yue, et al.. (2025). ReaxFF MD simulations of graphitization of intact and O,N-doped amorphous carbon. Physical Chemistry Chemical Physics. 27(23). 12584–12592. 2 indexed citations
3.
Liu, Ziyi, et al.. (2025). Prediction of Actinide–Ligand Complex Stability Constants by Machine Learning. The Journal of Physical Chemistry A. 129(20). 4611–4623.
4.
Fan, Jie, Wen‐Cui Li, Yifan Zhang, et al.. (2025). Revealing an Unexpected Chemical Reactivity of Boron Nitride to H 2 O and Alkane Molecules. Journal of the American Chemical Society. 147(44). 40935–40943.
5.
Zheng, Yuenan, et al.. (2024). Effect of bonding patterns of borides in oxidative dehydrogenation of propane. Applied Catalysis A General. 684. 119910–119910.
6.
Li, Wen‐Cui, Fan Tang, Jia Wang, et al.. (2024). Emergence of meta-methylbenzyl alcohol in novel pathway of ethanol with methacrolein catalyzed by hydroxyapatite. Applied Catalysis A General. 687. 119946–119946. 1 indexed citations
7.
Chen, Dongming, et al.. (2024). Link Prediction and Graph Structure Estimation for Community Detection. Mathematics. 12(8). 1269–1269.
8.
Li, Junqing, et al.. (2024). Machine Learning for Predicting Band Gap in Boron-containing Materials. Acta Chimica Sinica. 82(4). 387–387. 1 indexed citations
9.
Liu, Ziyi, et al.. (2024). In Situ Formation of B═O Bond in Oxidative Dehydrogenation of Propane and as a Hunter for Alkoxyl Radicals: A Computational Study. The Journal of Physical Chemistry Letters. 15(35). 8984–8989. 4 indexed citations
10.
Liu, Ziyi, et al.. (2024). Computational Comparative Study of the Binding of Americium with N-Donor Ligands. Inorganic Chemistry. 63(18). 8206–8214. 3 indexed citations
11.
Liu, Ziyi, et al.. (2024). A Connected Convolutional Neutral Network Protocol for Design of Two-Dimensional Materials Based on Modified Graphdiyne. The Journal of Physical Chemistry Letters. 15(31). 7840–7849. 1 indexed citations
12.
Sheng, Jian, Lihan Zhu, Wen‐Duo Lu, et al.. (2023). Effect of non-boron element with the different electronegativity of binary boride on oxidative dehydrogenation of propane. Journal of Catalysis. 424. 121–129. 14 indexed citations
13.
Liu, Yunpeng, Jiajun Zhong, Ziyi Liu, et al.. (2023). Single Unit‐Cell Layered Bi2Fe4O9 Nanosheets: Synthesis, Formation Mechanism, and Anisotropic Thermal Expansion. Small. 19(15). e2207202–e2207202. 6 indexed citations
14.
Zhang, Yifan, Xinyi Shen, Liangliang Zhu, et al.. (2023). A Multiple-Responsive Fluorescence Probe Based on Water-Soluble Fluorescent Conjugated Polymer for Biomolecules Detection. ACS Applied Polymer Materials. 5(4). 2877–2886. 7 indexed citations
15.
Wang, Dongqi, Yongxin Liu, Xiaohui Kang, et al.. (2022). Controlling Polyethylene Molecular Weights and Distributions Using Chromium Complexes Supported by SNN-Tridentate Ligands. Macromolecules. 55(7). 2433–2443. 22 indexed citations
16.
Li, Ye, Fan Tang, Dongqi Wang, & Xinping Wang. (2021). A key step for preparing highly active Mg–Co composite oxide catalysts for N2O decomposition. Catalysis Science & Technology. 11(11). 3737–3745. 7 indexed citations
17.
Zhang, Jiayu, Yanan Xue, Mengxue Zhou, et al.. (2021). The proximity of the G-quadruplex to hemin impacts the intrinsic DNAzyme activity in mitochondria. Chemical Communications. 57(24). 3038–3041. 7 indexed citations
18.
Sun, Manyi, et al.. (2017). Expression of autophagy in different stages of neurogenic bladder after spinal cord injury in rats. Spinal Cord. 55(9). 834–839. 5 indexed citations
19.
Shen, Yinglin, Ziyi Liu, Xia Yang, et al.. (2017). Experimental and Theoretical Study of the Extraction of UO22+by Malonamides in Ionic Liquids. Industrial & Engineering Chemistry Research. 56(44). 12708–12716. 7 indexed citations
20.
Zhang, Weiping, Zuyi Yuan, Yan Liu, et al.. (2008). [Risk factors and coronary angiographic findings in young and elderly patients with acute myocardial infarction: a comparative analysis].. PubMed. 28(5). 718–21. 16 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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