Yu Wang

21.1k total citations · 5 hit papers
633 papers, 13.6k citations indexed

About

Yu Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yu Wang has authored 633 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 281 papers in Computer Networks and Communications, 171 papers in Electrical and Electronic Engineering and 129 papers in Artificial Intelligence. Recurrent topics in Yu Wang's work include Mobile Ad Hoc Networks (132 papers), Opportunistic and Delay-Tolerant Networks (85 papers) and Energy Efficient Wireless Sensor Networks (79 papers). Yu Wang is often cited by papers focused on Mobile Ad Hoc Networks (132 papers), Opportunistic and Delay-Tolerant Networks (85 papers) and Energy Efficient Wireless Sensor Networks (79 papers). Yu Wang collaborates with scholars based in China, United States and Hong Kong. Yu Wang's co-authors include Fan Li, Xiang‐Yang Li, Kashif Sharif, Wen‐Zhan Song, Weizhao Wang, Xiangyang Li, Ophir Frieder, Sujit Biswas, Hongyi Wu and Peng‐Jun Wan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Yu Wang

586 papers receiving 13.1k citations

Hit Papers

Going Deeper with Embedded FPGA Platform for ... 2007 2026 2013 2019 2016 2007 2015 2019 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Wang China 54 6.6k 4.8k 2.3k 2.0k 1.3k 633 13.6k
Tian Wang China 64 7.4k 1.1× 4.3k 0.9× 3.3k 1.4× 1.5k 0.7× 691 0.5× 573 14.1k
Jiming Chen China 67 9.8k 1.5× 9.0k 1.9× 2.4k 1.0× 1.0k 0.5× 822 0.6× 609 18.4k
Guihai Chen China 53 7.2k 1.1× 5.7k 1.2× 2.2k 0.9× 764 0.4× 1.4k 1.1× 750 12.8k
Sajal K. Das United States 71 15.4k 2.3× 8.6k 1.8× 2.3k 1.0× 2.5k 1.2× 1.0k 0.8× 911 21.4k
Jiannong Cao Hong Kong 68 10.3k 1.5× 6.6k 1.4× 3.1k 1.4× 2.1k 1.0× 609 0.5× 939 19.1k
Qian Zhang China 62 10.7k 1.6× 8.4k 1.8× 2.0k 0.9× 2.7k 1.3× 862 0.7× 893 17.9k
Xiang‐Yang Li China 58 7.2k 1.1× 4.9k 1.0× 2.4k 1.0× 1.1k 0.5× 482 0.4× 551 12.5k
Huadóng Ma China 46 3.4k 0.5× 2.4k 0.5× 1.7k 0.7× 3.0k 1.5× 1.2k 0.9× 516 9.2k
Jian Tang United States 47 4.3k 0.7× 3.0k 0.6× 2.3k 1.0× 1.2k 0.6× 2.0k 1.5× 336 9.4k
Jie Wu United States 68 10.9k 1.6× 5.0k 1.0× 4.0k 1.7× 1.4k 0.7× 1.8k 1.4× 1.1k 18.6k

Countries citing papers authored by Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Wang. A scholar is included among the top collaborators of Yu 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 Yu Wang. Yu 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, Mingyang, Hailong You, Cong Li, et al.. (2025). An efficient machine learning-enhanced DTCO framework for low-power and high-performance circuit design. SHILAP Revista de lepidopterología. 3(3). 194–209.
3.
Wang, Yu, Jiaxin Zhang, Xiang Gao, et al.. (2025). Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation. 8206–8217.
4.
Wang, Zhihu, Shiwan Zhao, Yu Wang, et al.. (2025). Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. 4925–4936.
5.
Bai, Qingshun, et al.. (2025). Reducing the impact of optical power fluctuations in BOTDA using nonuniform probe compensation methods. Optics & Laser Technology. 187. 112829–112829. 1 indexed citations
6.
Hu, Ming, et al.. (2024). Research on multi-time scale integrated energy scheduling optimization considering carbon constraints. Energy. 302. 131776–131776. 13 indexed citations
7.
Wang, Yu, et al.. (2024). Exploring Diverse Representations for Open Set Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5731–5739. 3 indexed citations
8.
Zhang, Yunxiang, Yu Wang, Hazem Abdelsalam, et al.. (2024). In situ silver clusters decorated Bi24O31Cl10 nanorods for boosting photo-thermal catalytic activities. Journal of Material Science and Technology. 190. 236–247. 21 indexed citations
9.
Li, Wenmei, et al.. (2024). Complex-Valued 2D-3D Hybrid Convolutional Neural Network with Attention Mechanism for PolSAR Image Classification. Remote Sensing. 16(16). 2908–2908. 8 indexed citations
10.
Wang, Yu, et al.. (2024). Design and strategy selection for quality incentive mechanisms in the public cloud manufacturing model. Computers & Industrial Engineering. 198. 110681–110681. 1 indexed citations
11.
Zhou, Kun, Dongzhou Jia, Wanting Sun, et al.. (2024). Progress of highly conductive Graphene-reinforced Copper matrix composites: A review. Journal of Materials Research and Technology. 33. 7546–7571. 9 indexed citations
12.
Li, Jintao, Jie Zhou, Bowen Zhang, et al.. (2023). Total alkaloids of Fritillaria unibracteata var. wabuensis bulbus ameliorate chronic asthma via the TRPV1/Ca2+/NFAT pathway. Phytomedicine. 118. 154946–154946. 8 indexed citations
13.
Wang, Yu, et al.. (2023). Privacy-Preserving Data Synthesis via Differentially Private Normalizing Flows with Application to Electronic Health Records Data. Proceedings of the AAAI Symposium Series. 1(1). 161–167. 3 indexed citations
14.
Zhang, Rui, Yu Wang, Haifeng Deng, et al.. (2023). Fast and bioluminescent detection of antibiotic contaminants by on-demand transcription of RNA scaffold arrays. Analytica Chimica Acta. 1273. 341538–341538. 3 indexed citations
15.
Wang, Yu, et al.. (2023). Adaptive client and communication optimizations in Federated Learning. Information Systems. 116. 102226–102226. 7 indexed citations
16.
Sun, Na, et al.. (2023). Mechanism of the association between sleep quality and mortality in middle-aged and older adults: A prospective study analysis of the UK Biobank. Archives of Gerontology and Geriatrics. 113. 105051–105051. 5 indexed citations
17.
Han, Rui, et al.. (2023). FIBPRO: Peer-to-peer data management and sharing cloud storage system based on blockchain. Peer-to-Peer Networking and Applications. 16(6). 2850–2864. 3 indexed citations
18.
Wan, Fang, et al.. (2023). Storage allocation rules to meet shared water demands for optimal operation of reservoir water supply. Irrigation and Drainage. 72(4). 1066–1082. 2 indexed citations
19.
Cai, Yi, Xuefei Ning, Huazhong Yang, & Yu Wang. (2023). Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14738–14747. 6 indexed citations
20.
Li, Fan, et al.. (2020). PPGPass: Nonintrusive and Secure Mobile Two-Factor Authentication via Wearables. 1917–1926. 45 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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