Cuijuan Shang

435 total citations
21 papers, 284 citations indexed

About

Cuijuan Shang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cuijuan Shang has authored 21 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cuijuan Shang's work include Energy Efficient Wireless Sensor Networks (10 papers), Energy Harvesting in Wireless Networks (6 papers) and Context-Aware Activity Recognition Systems (6 papers). Cuijuan Shang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), Energy Harvesting in Wireless Networks (6 papers) and Context-Aware Activity Recognition Systems (6 papers). Cuijuan Shang collaborates with scholars based in China, Taiwan and India. Cuijuan Shang's co-authors include Chih‐Yung Chang, Shenghui Zhao, Diptendu Sinha Roy, Chih‐Yung Chang, Jian Wu, Guilin Chen, Wen‐Hwa Liao, Jinjun Liu, Chung‐Chih Lin and Yinong Chen and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Cuijuan Shang

16 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuijuan Shang China 9 238 151 33 25 23 21 284
Duc-Tai Le South Korea 9 179 0.8× 91 0.6× 32 1.0× 28 1.1× 17 0.7× 54 253
Wasan Kadhim Saad Iraq 10 169 0.7× 258 1.7× 23 0.7× 18 0.7× 15 0.7× 30 352
Loren P. Clare United States 9 320 1.3× 141 0.9× 24 0.7× 21 0.8× 55 2.4× 26 373
Tom LaPorta United States 7 266 1.1× 159 1.1× 28 0.8× 17 0.7× 12 0.5× 9 288
Basilis Mamalis Greece 5 167 0.7× 102 0.7× 17 0.5× 19 0.8× 14 0.6× 28 209
Yasunori Owada Japan 10 245 1.0× 142 0.9× 27 0.8× 18 0.7× 29 1.3× 61 330
Pavlos Antoniou Cyprus 7 228 1.0× 110 0.7× 15 0.5× 17 0.7× 9 0.4× 10 279
Amer O. Abu Salem Jordan 7 158 0.7× 100 0.7× 25 0.8× 14 0.6× 9 0.4× 14 211
Waslon T. A. Lopes Brazil 11 171 0.7× 233 1.5× 29 0.9× 41 1.6× 37 1.6× 84 348
Сибарам Хара India 7 195 0.8× 160 1.1× 27 0.8× 20 0.8× 10 0.4× 27 263

Countries citing papers authored by Cuijuan Shang

Since Specialization
Citations

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

Fields of papers citing papers by Cuijuan Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuijuan Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuijuan Shang. A scholar is included among the top collaborators of Cuijuan Shang 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 Cuijuan Shang. Cuijuan Shang 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.
Zhang, Qiaoyun, Chih‐Yung Chang, Xuan Li, Cuijuan Shang, & Diptendu Sinha Roy. (2024). IEET: Improving Emergent Events Transmission for Home Elderly Care With Multi-Layer BLE Topology Control. IEEE Transactions on Consumer Electronics. 70(3). 5326–5339.
2.
Ge, Yong, Shenghui Zhao, Shu Zhao, & Cuijuan Shang. (2024). Named Entity Recognition in the Elderly Dietary Domain Based on the BERT-BiLSTM-CRF Model. 134–139.
3.
Du, Jiachen, Shenghui Zhao, Cuijuan Shang, & Yinong Chen. (2023). Applying Image Analysis to Build a Lightweight System for Blind Obstacles Detecting of Intelligent Wheelchairs. Electronics. 12(21). 4472–4472. 1 indexed citations
4.
Shang, Cuijuan, Chih‐Yung Chang, Wen‐Hwa Liao, & Diptendu Sinha Roy. (2023). RLR: Joint Reinforcement Learning and Attraction Reward for Mobile Charger in Wireless Rechargeable Sensor Networks. IEEE Internet of Things Journal. 10(18). 16107–16120. 10 indexed citations
5.
Shang, Cuijuan, et al.. (2021). An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing. 36(1). 20–20. 13 indexed citations
6.
Shang, Cuijuan & Chih‐Yung Chang. (2021). Behavior Recognition Algorithm Using Unsupervised Learning for Home Elderly. 1–2.
7.
Shang, Cuijuan, et al.. (2020). Activity recognition approach based on spatial-temporal constraints for aged-care in smart home. International Journal of Ad Hoc and Ubiquitous Computing. 33(3). 168–168. 6 indexed citations
8.
Shang, Cuijuan, et al.. (2020). DEDC: Joint Density-Aware and Energy-Limited Path Construction for Data Collection Using Mobile Sink in WSNs. IEEE Access. 8. 78942–78955. 25 indexed citations
9.
Shang, Cuijuan, Chih‐Yung Chang, Jinjun Liu, Shenghui Zhao, & Diptendu Sinha Roy. (2020). FIID: Feature-Based Implicit Irregularity Detection Using Unsupervised Learning From IoT Data for Homecare of Elderly. IEEE Internet of Things Journal. 7(11). 10884–10896. 12 indexed citations
10.
Wu, Jian, et al.. (2020). MCDP: Maximizing Cooperative Detection Probability for Barrier Coverage in Rechargeable Wireless Sensor Networks. IEEE Sensors Journal. 21(5). 7080–7092. 11 indexed citations
11.
Shang, Cuijuan, et al.. (2019). BIA: Behavior Identification Algorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly. IEEE Journal of Biomedical and Health Informatics. 24(6). 1589–1600. 8 indexed citations
12.
Chang, Chih‐Yung, et al.. (2019). DBDC: A Distributed Bus-Based Data Collection Mechanism for Maximizing Throughput and Lifetime in WSNs. IEEE Access. 7. 160506–160522. 5 indexed citations
13.
Wu, Jian, et al.. (2019). GSMS: A Barrier Coverage Algorithm for Joint Surveillance Quality and Network Lifetime in WSNs. IEEE Access. 7. 159608–159621. 7 indexed citations
14.
Shang, Cuijuan, et al.. (2019). Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors. IEEE Journal of Biomedical and Health Informatics. 24(1). 131–143. 6 indexed citations
15.
Chang, Chih‐Yung, et al.. (2018). Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks. Sensors. 18(8). 2627–2627. 18 indexed citations
16.
Zhao, Shenghui, et al.. (2017). EAPC: Energy-Aware Path Construction for Data Collection Using Mobile Sink in Wireless Sensor Networks. IEEE Sensors Journal. 18(2). 890–901. 139 indexed citations
17.
Shang, Cuijuan, et al.. (2016). Tracking quality guaranteed mechanisms in WSNs. 1–2.
18.
Shang, Cuijuan, et al.. (2015). An Efficient Target Tracking Mechanism for Guaranteeing User-Defined Tracking Quality in WSNs. IEEE Sensors Journal. 15(9). 5258–5271. 13 indexed citations
19.
Shang, Cuijuan, et al.. (2014). EQTT: An energy-saving and quality-guaranteed target tracking mechanism for WSNs. 9–10. 2 indexed citations
20.
Zhang, Qiaoyun, et al.. (2014). An interference-aware and energy-saving connection protocol for Bluetooth radio networks. 11–12. 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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