Ying Wang

6.0k total citations · 1 hit paper
336 papers, 4.0k citations indexed

About

Ying Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ying Wang has authored 336 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Electrical and Electronic Engineering, 134 papers in Computer Vision and Pattern Recognition and 72 papers in Computer Networks and Communications. Recurrent topics in Ying Wang's work include Advanced Memory and Neural Computing (91 papers), Advanced Neural Network Applications (57 papers) and Parallel Computing and Optimization Techniques (56 papers). Ying Wang is often cited by papers focused on Advanced Memory and Neural Computing (91 papers), Advanced Neural Network Applications (57 papers) and Parallel Computing and Optimization Techniques (56 papers). Ying Wang collaborates with scholars based in China, United States and Canada. Ying Wang's co-authors include Xiaowei Li, Chunhong Pan, Shiming Xiang, Huawei Li, Yinhe Han, Hongzhen Wang, Feiyun Zhu, Bin Fan, Cheng Liu and Haoxiang Lang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and ACS Nano.

In The Last Decade

Ying Wang

300 papers receiving 3.9k citations

Hit Papers

Automatic Road Detection and Centerline Extraction via Ca... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
    2017 343 citations Ying Wang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Wang China 28 1.4k 1.2k 879 667 453 336 4.0k
Runsheng Wang China 34 1.0k 0.8× 2.9k 2.3× 1.1k 1.2× 472 0.7× 149 0.3× 468 5.1k
Wei Chen China 38 1.5k 1.1× 1.9k 1.5× 399 0.5× 1.0k 1.5× 847 1.9× 467 5.5k
Zhili Chen China 31 811 0.6× 1.0k 0.8× 106 0.1× 700 1.0× 294 0.6× 196 3.6k
Ki‐Hong Park Saudi Arabia 38 606 0.4× 3.1k 2.5× 134 0.2× 882 1.3× 2.0k 4.5× 253 5.6k
Lingli Wang China 27 544 0.4× 1.1k 0.9× 214 0.2× 265 0.4× 191 0.4× 259 2.8k
Xinming Huang United States 28 895 0.7× 751 0.6× 156 0.2× 556 0.8× 471 1.0× 177 2.6k
Lei Deng China 34 1.2k 0.9× 3.1k 2.5× 160 0.2× 2.2k 3.3× 405 0.9× 157 5.6k
Tarek M. Taha United States 26 881 0.6× 1.9k 1.5× 128 0.1× 1.5k 2.3× 498 1.1× 155 4.5k
Gang Li China 40 747 0.5× 1.4k 1.2× 665 0.8× 802 1.2× 664 1.5× 327 6.0k
Eduard Säckinger United States 19 1.3k 1.0× 1.6k 1.3× 257 0.3× 1.3k 2.0× 284 0.6× 31 4.3k

Countries citing papers authored by Ying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wang. A scholar is included among the top collaborators of Ying 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 Ying Wang. Ying 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.
Hu, Xinyu, Jinpeng Wang, Yuemei Zhang, et al.. (2025). Characterization of the physicochemical properties and key aroma compounds of Beijing roast duck skin sugared by water-in-oil nanoemulsion. Food Chemistry X. 29. 102666–102666. 1 indexed citations
2.
3.
Wang, Yujie, et al.. (2025). AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models. ACM Transactions on Design Automation of Electronic Systems. 30(6). 1–21.
4.
Chen, M, Cheng Liu, Ying Wang, et al.. (2025). DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs. 820–836.
5.
Wang, Ying, et al.. (2024). Multi-branch residual image semantic segmentation combined with inverse weight gated-control. Image and Vision Computing. 143. 104932–104932. 1 indexed citations
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Li, Bing, et al.. (2024). A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(9). 2635–2646.
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Wang, Ying, et al.. (2024). Chiplever: Towards Effortless Extension of Chiplet-based System for FHE. 1–6. 1 indexed citations
10.
11.
Cheng, Long, et al.. (2024). Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey. IEEE Transactions on Sustainable Computing. 9(6). 830–847. 17 indexed citations
12.
Liu, Cheng, Ying Wang, Tao Luo, et al.. (2023). Statistical Modeling of Soft Error Influence on Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(11). 4152–4163. 5 indexed citations
13.
Cheng, Long, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, & Ying Mao. (2023). Toward Network-Aware Query Execution Systems in Large Datacenters. IEEE Transactions on Network and Service Management. 20(4). 4494–4504. 3 indexed citations
14.
Cheng, Long, et al.. (2023). A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. IEEE Transactions on Sustainable Computing. 9(3). 422–432. 29 indexed citations
15.
Wang, Ying, et al.. (2022). InfoX. Proceedings of the 59th ACM/IEEE Design Automation Conference. 97–102. 5 indexed citations
16.
Wang, Haibing, Junxian He, Xichuan Zhou, et al.. (2022). TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Transactions on Biomedical Circuits and Systems. 16(4). 636–650. 27 indexed citations
17.
Wang, Ying, et al.. (2021). A Fast Precision Tuning Solution for Always-On DNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(5). 1236–1248. 5 indexed citations
18.
Wang, Ying, et al.. (2020). EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks. IEEE Transactions on Computers. 70(9). 1511–1525. 119 indexed citations
19.
Wu, Bi, Pengcheng Dai, Yuanqing Cheng, et al.. (2019). A Novel High Performance and Energy Efficient NUCA Architecture for STT-MRAM LLCs With Thermal Consideration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(4). 803–815. 9 indexed citations
20.
Gao, Xinbo, et al.. (2018). Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(5). 2520–2534. 23 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

Breakdown of academic impact, for papers by Runsheng Wang Breakdown of academic impact, for papers by Wei Chen Breakdown of academic impact, for papers by Zhili Chen Breakdown of academic impact, for papers by Ki‐Hong Park Breakdown of academic impact, for papers by Lingli Wang Breakdown of academic impact, for papers by Xinming Huang Breakdown of academic impact, for papers by Lei Deng Breakdown of academic impact, for papers by Tarek M. Taha Breakdown of academic impact, for papers by Gang Li Breakdown of academic impact, for papers by Eduard Säckinger
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