Zhengkui Wang

645 total citations
33 papers, 358 citations indexed

About

Zhengkui Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Zhengkui Wang has authored 33 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Zhengkui Wang's work include Caching and Content Delivery (5 papers), Complex Network Analysis Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Zhengkui Wang is often cited by papers focused on Caching and Content Delivery (5 papers), Complex Network Analysis Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Zhengkui Wang collaborates with scholars based in Singapore, China and United States. Zhengkui Wang's co-authors include Kian‐Lee Tan, Beng Chin Ooi, Qian Lin, Yan Chu, Yu Cui, Lei Yu, Yuhai Zhao, Divyakant Agrawal, Gang Chen and Limsoon Wong and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Zhengkui Wang

28 papers receiving 346 citations

Peers

Zhengkui Wang
Robson L. F. Cordeiro Brazil
R. Geetha India
Nemanja Maček Serbia
Minyong Shi China
Jiawen Wang China
Ziqiang Wang China
Mohammed Nasser Al-Andoli Malaysia
Sabariah Baharun Malaysia
Robson L. F. Cordeiro Brazil
Zhengkui Wang
Citations per year, relative to Zhengkui Wang Zhengkui Wang (= 1×) peers Robson L. F. Cordeiro

Countries citing papers authored by Zhengkui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengkui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengkui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengkui Wang. A scholar is included among the top collaborators of Zhengkui 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 Zhengkui Wang. Zhengkui 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
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Wang, Zhengkui, et al.. (2024). HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution. Neural Processing Letters. 56(2). 11 indexed citations
3.
Low, Malcolm Yoke Hean, et al.. (2024). Towards Accelerating Physics Informed Graph Neural Network for Fluid Simulation. 1–3. 1 indexed citations
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Zhao, Yuhai, et al.. (2024). Limited-Supervised Multi-Label Learning with Dependency Noise. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15662–15670.
6.
Zhao, Yuhai, et al.. (2023). Robust Self-Supervised Multi-Instance Learning with Structure Awareness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 10218–10225. 2 indexed citations
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Wang, Zhengkui, et al.. (2023). BrandTrend: Understanding the Trending Games and Gaming Influencers for Better Gaming Peripheral Promotion. London Met Repository (London Metropolitan University). 540–545. 1 indexed citations
9.
Zhao, Yuhai, et al.. (2022). The most active community search in large temporal graphs. Knowledge-Based Systems. 250. 109101–109101. 3 indexed citations
10.
Wang, Zhengkui, et al.. (2022). The impact of public responses toward healthcare workers on their work engagement and well-being during the Covid-19 pandemic. Frontiers in Psychology. 13. 949153–949153. 9 indexed citations
11.
Xia, Xinxing, et al.. (2022). ViCollAR: A Novel System for 3D Data Visualization using Collaborative Augmented Reality. Figshare. 907–908. 2 indexed citations
12.
Li, Long, et al.. (2022). Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks. Remote Sensing. 14(15). 3768–3768. 4 indexed citations
13.
Zhao, Yuhai, et al.. (2021). Multi-graph Multi-label Learning with Dual-granularity Labeling. 2327–2337. 7 indexed citations
14.
Zhao, Yuhai, et al.. (2021). Distributed Density Peaks Clustering Revisited (Extended Abstract). 2352–2353. 1 indexed citations
15.
Chu, Yan, et al.. (2020). SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples. IEEE Access. 8. 109156–109167. 4 indexed citations
16.
Chu, Yan, et al.. (2020). Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention. Wireless Communications and Mobile Computing. 2020. 1–7. 69 indexed citations
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Lin, Qian, Beng Chin Ooi, Zhengkui Wang, & Yu Cui. (2015). Scalable Distributed Stream Join Processing. 811–825. 59 indexed citations
19.
Wang, Zhengkui, Qi Fan, Huiju Wang, et al.. (2014). Pagrol: Parallel graph olap over large-scale attributed graphs. 4. 496–507. 25 indexed citations
20.
Wang, Zhengkui, Yue Wang, Kian‐Lee Tan, Limsoon Wong, & Divyakant Agrawal. (2010). CEO a cloud epistasis computing model in GWAS. 85–90. 7 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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2026