Ce Zhang

524 total citations
19 papers, 189 citations indexed

About

Ce Zhang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ce Zhang has authored 19 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ce Zhang's work include Energy Efficient Wireless Sensor Networks (6 papers), Indoor and Outdoor Localization Technologies (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Ce Zhang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (6 papers), Indoor and Outdoor Localization Technologies (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Ce Zhang collaborates with scholars based in China, Switzerland and Canada. Ce Zhang's co-authors include Luis Miranda-Moreno, Lijun Sun, Nora Hollenstein, Guangyi Liu, Guangyi Liu, Xin Tong, Yanping Yang, Ke Ke, Nicolas Langer and Xia Zhang and has published in prestigious journals such as Sensors, Applied Sciences and Measurement.

In The Last Decade

Ce Zhang

16 papers receiving 186 citations

Peers

Ce Zhang
Haonan Guo China
Kui Luo China
Hadi Salman United States
Bodhibrata Mukhopadhyay India
Amir Hossein Abolmasoumi Iran
Yuan Song China
Markus Wulfmeier United Kingdom
Daniel Pereira Brazil
Xuesen Zhang China
Haonan Guo China
Ce Zhang
Citations per year, relative to Ce Zhang Ce Zhang (= 1×) peers Haonan Guo

Countries citing papers authored by Ce Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ce Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ce Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ce Zhang. A scholar is included among the top collaborators of Ce Zhang 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 Ce Zhang. Ce Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Raychev, Veselin, et al.. (2024). Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. 17167–17186. 1 indexed citations
2.
Adams, Sally, Quentin Anthony, Ben Athiwaratkun, et al.. (2024). RedPajama: an Open Dataset for Training Large Language Models. 116462–116492.
3.
Kang, Rong, Wentao Wu, Chen Wang, Ce Zhang, & Jianmin Wang. (2021). The Case for ML-Enhanced High-Dimensional Indexes. Very Large Data Bases. 2 indexed citations
4.
Zhang, Lincong, Ce Zhang, Kefeng Wei, & Qieshi Zhang. (2021). Link Fault Repair Algorithm of Wearable Wireless Sensor Networks based on Polygon Fermat Point. 25. 1–5. 2 indexed citations
5.
Zhang, Ce, et al.. (2021). Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada. International Journal of Transportation Science and Technology. 11(2). 298–309. 61 indexed citations
6.
Zhang, Jianwei, Ce Zhang, Wei Pan, et al.. (2020). Lane‐keeping system design considering driver's nervousness via scene analysis. IET Intelligent Transport Systems. 14(10). 1171–1182. 3 indexed citations
7.
Hollenstein, Nora, et al.. (2020). ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. Language Resources and Evaluation. 138–146. 8 indexed citations
8.
Hollenstein, Nora & Ce Zhang. (2019). Entity Recognition at First Sight:. 13 indexed citations
9.
Zhang, Ce, et al.. (2019). Energy-efficient data gathering algorithm relying on compressive sensing in lossy WSNs. Measurement. 147. 106875–106875. 11 indexed citations
10.
Zhang, Ce, et al.. (2019). Spatiotemporal Data Gathering Based on Compressive Sensing in WSNs. IEEE Wireless Communications Letters. 8(4). 1252–1255. 13 indexed citations
11.
Zhang, Ce, et al.. (2019). An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks. Applied Sciences. 9(5). 1010–1010. 11 indexed citations
12.
13.
Liu, Guangyi, et al.. (2018). Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks. Sensors. 18(11). 3913–3913. 34 indexed citations
14.
Zhang, Ce, et al.. (2017). Dynamic clustering and compressive data gathering algorithm for energy-efficient wireless sensor networks. International Journal of Distributed Sensor Networks. 13(10). 812126658–812126658. 11 indexed citations
15.
Zhang, Xia, et al.. (2017). A Data gathering algorithm based on compressive sensing in lossy wireless sensor networks. 146–153. 6 indexed citations
16.
Zhang, Ce, et al.. (2016). Data Gathering Using Dynamic Clustering Based on WSNs Compressive Sensing Algorithm. 53(9). 2000. 1 indexed citations
17.
18.
Zhang, Ce, Rong Zheng, & Bo Xu. (2011). Data-driven Gaussian component selection for fast GMM-based speaker verification. 245–248. 1 indexed citations
19.
Zhang, Ce, et al.. (2000). Parameter Identification of Linear Systems Using Hopfield Neural Networks. Control theory & applications.

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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