Weiwei Cheng

6.1k total citations · 1 hit paper
112 papers, 4.0k citations indexed

About

Weiwei Cheng is a scholar working on Artificial Intelligence, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Weiwei Cheng has authored 112 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 22 papers in Food Science and 20 papers in Nutrition and Dietetics. Recurrent topics in Weiwei Cheng's work include Food composition and properties (20 papers), Microbial Metabolites in Food Biotechnology (15 papers) and Metal-Organic Frameworks: Synthesis and Applications (14 papers). Weiwei Cheng is often cited by papers focused on Food composition and properties (20 papers), Microbial Metabolites in Food Biotechnology (15 papers) and Metal-Organic Frameworks: Synthesis and Applications (14 papers). Weiwei Cheng collaborates with scholars based in China, Germany and Ireland. Weiwei Cheng's co-authors include Eyke Hüllermeier, Da‐Wen Sun, Krzysztof Dembczyński, Di Wu, Hongbin Pu, Xiaozhi Tang, Yan Zhang, Johannes Fürnkranz, Qingyi Wei and Willem Waegeman and has published in prestigious journals such as ACS Nano, Bioinformatics and Advanced Functional Materials.

In The Last Decade

Weiwei Cheng

106 papers receiving 3.9k citations

Hit Papers

Applications of metal-organic framework (MOF)-based senso... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Cheng China 35 1.1k 859 579 570 524 112 4.0k
Yao‐Wen Huang United States 29 576 0.5× 1.1k 1.3× 185 0.3× 799 1.4× 881 1.7× 64 4.4k
Jian Tang China 39 505 0.4× 810 0.9× 520 0.9× 409 0.7× 942 1.8× 337 5.6k
Domingo Mery Chile 38 424 0.4× 492 0.6× 532 0.9× 953 1.7× 402 0.8× 195 5.0k
Zhenhua Duan China 30 299 0.3× 849 1.0× 104 0.2× 172 0.3× 598 1.1× 204 3.0k
Harish Sharma India 36 464 0.4× 2.2k 2.5× 161 0.3× 254 0.4× 472 0.9× 215 4.5k
Zhenzhen Xu China 34 176 0.2× 704 0.8× 128 0.2× 565 1.0× 936 1.8× 214 4.2k
M. Zhang China 33 337 0.3× 1.9k 2.3× 83 0.1× 318 0.6× 909 1.7× 248 4.7k
Muhammad Naveed Pakistan 46 1.1k 1.0× 431 0.5× 86 0.1× 348 0.6× 1.6k 3.0× 320 7.4k
John Bosco Balaguru Rayappan India 51 449 0.4× 196 0.2× 352 0.6× 3.0k 5.2× 1.2k 2.4× 341 9.8k
Azharul Karim Australia 47 131 0.1× 2.9k 3.4× 252 0.4× 532 0.9× 178 0.3× 320 6.8k

Countries citing papers authored by Weiwei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Cheng. A scholar is included among the top collaborators of Weiwei Cheng 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 Weiwei Cheng. Weiwei Cheng 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
2.
Wu, Xi, Weiwei Cheng, Zhenjiong Wang, et al.. (2025). An ultrasensitive homogeneous electrochemical strategy for ochratoxin a sensing based on nanoscale PCN-224@MB@Apt. Talanta. 287. 127695–127695. 2 indexed citations
3.
Zhang, Dian, Di Wu, Chengcheng Gao, et al.. (2025). Encapsulation of oleanolic acid into cyclodextrin metal-organic frameworks by co-crystallization: Preparation, structure characterization and its effect on a zebrafish larva NAFLD model. Food Research International. 204. 115936–115936. 4 indexed citations
4.
5.
Xu, Yaoyao, Xiao Feng, Chengcheng Gao, et al.. (2024). Fabrication of cinnamon essential oil nanoemulsions with high antibacterial activities via microfluidization. Food Chemistry. 456. 139969–139969. 12 indexed citations
6.
Wang, Pin, Weiwei Cheng, Yifei Li, et al.. (2024). Stacking faults in 4H–SiC epilayers and IGBTs. Materials Science in Semiconductor Processing. 177. 108369–108369. 8 indexed citations
7.
Zhu, Lihan, Yinliang Wu, Di Wu, et al.. (2023). Effect of nano-TiO2 particle size on the bonding performance and film-forming properties of starch-based wood adhesives. International Journal of Biological Macromolecules. 235. 123697–123697. 18 indexed citations
8.
Chen, Yumin, Weiwei Cheng, Yuling Yang, et al.. (2023). Development of an ultrasensitive SERS aptasensor for determination of aflatoxin B1 by modifying magnetic beads with UiO-66-NH2 for enhanced signal probe capturing. Sensors and Actuators B Chemical. 393. 134329–134329. 22 indexed citations
9.
Cheng, Weiwei, et al.. (2023). Research on deduplication method of multiple relations based on hierarchical clustering algorithm. International Journal of Information and Communication Technology. 22(2). 105–105.
10.
Xue, Yun‐Shan, Weiwei Cheng, Jia‐Peng Cao, & Yan Xu. (2019). 3D Enantiomorphic Mg‐Based Metal–Organic Frameworks as Chemical Sensor of Nitrobenzene and Efficient Catalyst for CO2 Cycloaddition. Chemistry - An Asian Journal. 14(11). 1949–1957. 30 indexed citations
11.
Xue, Yun‐Shan, Weiwei Cheng, Xi‐Ming Luo, Jia‐Peng Cao, & Yan Xu. (2019). Multifunctional Polymolybdate-Based Metal–Organic Framework as an Efficient Catalyst for the CO2 Cycloaddition and as the Anode of a Lithium-Ion Battery. Inorganic Chemistry. 58(19). 13058–13065. 14 indexed citations
12.
Cheng, Weiwei, Feng‐Cui Shen, Yun‐Shan Xue, et al.. (2018). A Pair of Rare Three-Dimensional Chiral Polyoxometalate-Based Metal–Organic Framework Enantiomers Featuring Superior Performance as the Anode of Lithium-Ion Battery. ACS Applied Energy Materials. 1(9). 4931–4938. 41 indexed citations
13.
Cheng, Weiwei, et al.. (2013). Labelwise versus Pairwise Decomposition in Label Ranking.. LWA. 129–136. 8 indexed citations
14.
Cheng, Weiwei, et al.. (2012). Scaling up WSD with Automatically Generated Examples. North American Chapter of the Association for Computational Linguistics. 231–239. 8 indexed citations
15.
Cheng, Weiwei. (2012). Preparation and characterization of activated carbon composite materials modified by MTES hydrophobic silica aerogel. Journal of Nanjing University of Technology. 1 indexed citations
16.
Waegeman, Willem, et al.. (2010). On label dependence in multilabel classification. Ghent University Academic Bibliography (Ghent University). 36 indexed citations
17.
Cheng, Weiwei, et al.. (2010). Label Ranking Methods based on the Plackett-Luce Model. International Conference on Machine Learning. 215–222. 34 indexed citations
18.
Cheng, Weiwei, et al.. (2009). The senior companion: a semantic web dialogue system. OAR@UM (University of Malta). 1383–1384. 6 indexed citations
19.
Hüllermeier, Eyke, Johannes Fürnkranz, Weiwei Cheng, & Klaus Brinker. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence. 172(16-17). 1897–1916. 318 indexed citations
20.
Cheng, Weiwei, et al.. (2007). Interactive Ranking of Skylines Using Machine Learning Techniques.. LWA. 141–148. 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.

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