Ai Wang

1.4k total citations
77 papers, 1.2k citations indexed

About

Ai Wang is a scholar working on Materials Chemistry, Inorganic Chemistry and Organic Chemistry. According to data from OpenAlex, Ai Wang has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 20 papers in Inorganic Chemistry and 18 papers in Organic Chemistry. Recurrent topics in Ai Wang's work include Metal-Organic Frameworks: Synthesis and Applications (13 papers), Molecular Sensors and Ion Detection (9 papers) and Magnetism in coordination complexes (9 papers). Ai Wang is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (13 papers), Molecular Sensors and Ion Detection (9 papers) and Magnetism in coordination complexes (9 papers). Ai Wang collaborates with scholars based in China, Germany and Slovakia. Ai Wang's co-authors include Dieter Enders, Chengming Wang, Magnus Rueping, Ying Zhi, Kun Zhao, Ulli Englert, Arne R. Philipps, Kari Rissanen, Li Sun and Rakesh Puttreddy and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ai Wang

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Wang China 19 801 225 184 134 59 77 1.2k
Zikuan Wang China 18 367 0.5× 215 1.0× 197 1.1× 199 1.5× 53 0.9× 52 1.1k
Luminiţa Silaghi‐Dumitrescu Romania 18 652 0.8× 311 1.4× 157 0.9× 158 1.2× 54 0.9× 106 1.1k
Huiying Xu China 20 812 1.0× 247 1.1× 307 1.7× 142 1.1× 26 0.4× 84 1.4k
Vanya B. Kurteva Bulgaria 18 733 0.9× 288 1.3× 185 1.0× 116 0.9× 98 1.7× 75 1.2k
Aurélien Moncomble France 14 606 0.8× 189 0.8× 129 0.7× 62 0.5× 57 1.0× 36 873
M. Isabel Menéndez Spain 18 532 0.7× 256 1.1× 249 1.4× 153 1.1× 84 1.4× 81 1.1k
Zerong Wang China 18 930 1.2× 157 0.7× 175 1.0× 428 3.2× 65 1.1× 60 1.5k
Caterina Fusco Italy 23 1.2k 1.5× 178 0.8× 368 2.0× 171 1.3× 66 1.1× 83 1.7k
Lesław Sieroń Poland 18 597 0.7× 359 1.6× 190 1.0× 159 1.2× 104 1.8× 116 951
Оleg I. Аrtyushin Russia 18 619 0.8× 407 1.8× 204 1.1× 151 1.1× 19 0.3× 154 1.1k

Countries citing papers authored by Ai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Wang. A scholar is included among the top collaborators of Ai 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 Ai Wang. Ai 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.
Wang, Ai, et al.. (2025). A Novel Micro-CT Technique for Characterising Structural Interfaces in Metallurgical Coke. ISIJ International. 65(8). 1089–1099.
2.
Wang, Ai, et al.. (2025). Mechanism of metallurgical coke gasification in CO2 and H2O using a reaction-diffusion model. Chemical Engineering Journal. 512. 162471–162471.
3.
Wang, Ai, Huilin Hu, Dai Zhang, et al.. (2025). Investigating Left Atrial Diameter and Heart Failure Onset in Middle‐Aged and Elderly: A Retrospective‐Prospective Study. Clinical Cardiology. 48(3). e70085–e70085.
4.
Zhao, Wei, Ai Wang, Sisi Feng, Caixia Yuan, & Ulli Englert. (2025). A multifunctional fluorescent probe for detecting metal cations based on a novel zinc coordination polymer. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 347. 127004–127004. 2 indexed citations
5.
Yuan, Caixia, et al.. (2024). Synthesis and fluorescence properties of a two-dimensional Cd-complex for the ratiometric fluorescence detection of Zn2+ ions. Journal of Molecular Structure. 1312. 138511–138511. 3 indexed citations
6.
Wang, Ai, et al.. (2024). Evaluation of component interface quality in 3D micro-CT images of metallurgical coke. ANZIAM Journal. 64. 2 indexed citations
7.
Wang, Ai, et al.. (2024). Microstructural and microtextural evolution of metallurgical coke during reaction with CO2 and H2O. Fuel. 381. 133280–133280. 1 indexed citations
8.
Wang, Ai, et al.. (2024). The Application of Supervised Learning Algorithms in Predicting the Formation Energy of NLO Crystals. Advanced Theory and Simulations. 7(8). 2 indexed citations
9.
Wang, Ai, et al.. (2024). Treatment for Resistant Hypertension Under the Guidance of Pharmacogenomics: A Randomised Controlled Open-Label Trial. Journal of College of Physicians And Surgeons Pakistan. 34(4). 383–389.
10.
Fan, Zhen, et al.. (2023). Machine Learning Classification Model for Screening of Infrared Nonlinear Optical Crystals. Journal of Electronic Materials. 52(6). 4162–4168. 3 indexed citations
11.
Wang, Ai, et al.. (2023). Insight into effect of high pressure on the structural, electronic, and optical properties of KH2PO4. Computational Materials Science. 232. 112666–112666.
12.
Fan, Zhen, et al.. (2023). Machine Learning Regression Model for Predicting the Formation Energy of Nonlinear Optical Crystals. Advanced Theory and Simulations. 6(3). 3 indexed citations
14.
Xu, Hao, Ai Wang, Chi Zhang, et al.. (2023). Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer. BMC Medical Imaging. 23(1). 66–66. 4 indexed citations
15.
Ye, Changrong, Jiayu Peng, Rui Wang, et al.. (2023). Genomic and genetic advances of oiltea-camellia (Camellia oleifera). Frontiers in Plant Science. 14. 1101766–1101766. 19 indexed citations
16.
Zhou, Zhen, Yanfang Peng, Ai Wang, et al.. (2020). Compound Opening Arrow Mixture exerts anti-tumor effects in a mouse model of breast cancer. Scientific Reports. 10(1). 8175–8175. 3 indexed citations
17.
Wang, Ai & Ulli Englert. (2019). Absolute structure of the chiral pyrrolidine derivative (2S)-methyl (Z)-5-(2-tert-butoxy-1-cyano-2-oxoethylidene)pyrrolidine-2-carboxylate, a compound with low resonant scattering. Acta Crystallographica Section C Structural Chemistry. 75(11). 1448–1453. 1 indexed citations
18.
Lu, Shibao, Xuerui Gao, Pute Wu, et al.. (2018). Assessment of the treatment of domestic sewage by a vertical-flow artificial wetland at different operating water levels. Journal of Cleaner Production. 208. 649–655. 32 indexed citations
19.
Wang, Ai & Ulli Englert. (2017). N—H...X (X = Cl and Br) hydrogen bonds in three isomorphous 3,5-dichloropyridinium salts. Acta Crystallographica Section C Structural Chemistry. 73(10). 803–809. 7 indexed citations
20.
Wang, Ai. (2003). Determination of the Contents of As,Pb and Hg in Chinese Medicinal Materials by Microwave-digestion and Atomic Fluorescence Spectrometry. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026