Qingyong Wang

649 total citations
44 papers, 442 citations indexed

About

Qingyong Wang is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Qingyong Wang has authored 44 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Molecular Biology and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Qingyong Wang's work include Complex Network Analysis Techniques (8 papers), Algebraic structures and combinatorial models (5 papers) and Aquaculture Nutrition and Growth (5 papers). Qingyong Wang is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Algebraic structures and combinatorial models (5 papers) and Aquaculture Nutrition and Growth (5 papers). Qingyong Wang collaborates with scholars based in China, Macao and Australia. Qingyong Wang's co-authors include Yun Zhou, Hong‐Ning Dai, Hao Wang, Zehong Cao, Khan Muhammad, Weiping Ding, Zhiguo Zhang, Di Wu, Tao Liu and Gangcheng Wang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Aquaculture.

In The Last Decade

Qingyong Wang

38 papers receiving 425 citations

Peers

Qingyong Wang
Mathieu Sinn Ireland
Soumi Dutta India
Santosh Kumar Srivastava United States
Filipi N. Silva Brazil
Jiayi He China
Fang Du China
HaiYing Wang United States
Yinfeng Li China
Jürgen Franke Germany
Ning Xie China
Mathieu Sinn Ireland
Qingyong Wang
Citations per year, relative to Qingyong Wang Qingyong Wang (= 1×) peers Mathieu Sinn

Countries citing papers authored by Qingyong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingyong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyong Wang. A scholar is included among the top collaborators of Qingyong 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 Qingyong Wang. Qingyong 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, Qingyong, et al.. (2025). Temporal transaction network anomaly detection for Industrial Internet of Things with federated graph neural networks. Computers & Industrial Engineering. 205. 111122–111122.
2.
Wang, Qingyong, Yingchun Xia, Xiaolei Zhu, et al.. (2025). DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding. Frontiers in Genetics. 15. 1464976–1464976.
3.
Chen, Jianxiang, Pao Xu, Gangchun Xu, et al.. (2024). Multi-omics profiling reveals the lipid metabolism during gonadal maturation in male Chinese mitten crab (Eriocheir sinensis). Aquaculture Reports. 39. 102518–102518. 1 indexed citations
4.
Chen, Jianxiang, Pao Xu, Gangchun Xu, et al.. (2024). Fattening with formulated diets improves the immune response and lipid accumulation in the gonads of male Chinese mitten crab (Eriocheir sinensis). Aquaculture. 597. 741945–741945. 3 indexed citations
5.
Xue, Miaomiao, Pao Xu, Jianxiang Chen, et al.. (2024). A High-Fat-Diet-Induced Microbiota Imbalance Correlates with Oxidative Stress and the Inflammatory Response in the Gut of Freshwater Drum (Aplodinotus grunniens). Antioxidants. 13(3). 363–363. 14 indexed citations
6.
Feng, Xia‐Ting, Zhibin Yao, Bin Lv, et al.. (2024). Study on the Development Mechanism of Time-Delayed Strain Rockbursts in Deep Granite Tunnels Excavated by TBM. Rock Mechanics and Rock Engineering. 58(1). 405–430. 4 indexed citations
7.
Wei, Yingmei, et al.. (2023). MT$$^2$$AD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN. Complex & Intelligent Systems. 10(1). 613–626. 6 indexed citations
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Wang, Qingyong, et al.. (2023). Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients. International Journal of General Medicine. Volume 16. 3151–3161. 6 indexed citations
11.
Wei, Yingmei, et al.. (2023). CoLM 2 S: Contrastive self‐supervised learning on attributed multiplex graph network with multi‐scale information. CAAI Transactions on Intelligence Technology. 8(4). 1464–1479.
12.
Wei, Yingmei, et al.. (2023). Dual adaptive learning multi-task multi-view for graph network representation learning. Neural Networks. 162. 297–308. 7 indexed citations
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Li, Changsheng, et al.. (2022). Differential Effects of Sevoflurane Exposure on Long-Term Fear Memory in Neonatal and Adult Rats. Molecular Neurobiology. 59(5). 2799–2807. 6 indexed citations
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Wang, Qingyong, Yun Zhou, Zehong Cao, & Weiming Zhang. (2021). M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. Expert Systems with Applications. 189. 115999–115999. 7 indexed citations
18.
Mao, Yingchi, et al.. (2021). TAPP: DNN Training for Task Allocation through Pipeline Parallelism Based on Distributed Deep Reinforcement Learning. Applied Sciences. 11(11). 4785–4785. 2 indexed citations
19.
Wang, Qingyong, et al.. (2020). Identifying vital nodes in complex networks by adjacency information entropy. Scientific Reports. 10(1). 2691–2691. 57 indexed citations
20.
Wang, Gangcheng, Qingyong Wang, Yi‐Min Wang, et al.. (2018). Conditional displacement interaction in transversal direction from the quantum Rabi model. Quantum Information Processing. 17(8). 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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