Chang Shu

534 total citations
20 papers, 403 citations indexed

About

Chang Shu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chang Shu has authored 20 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Chang Shu's work include IoT and Edge/Fog Computing (9 papers), Software-Defined Networks and 5G (4 papers) and Covalent Organic Framework Applications (3 papers). Chang Shu is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Software-Defined Networks and 5G (4 papers) and Covalent Organic Framework Applications (3 papers). Chang Shu collaborates with scholars based in China, United Kingdom and Australia. Chang Shu's co-authors include Geyong Min, Zhiwei Zhao, Hancong Duan, Ruixue Sun, Bien Tan, Xunliang Hu, Xiaoyan Wang, Irshad Hussaın, Xiaoju Yang and Yaqing Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.

In The Last Decade

Chang Shu

18 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Shu China 10 248 101 99 97 67 20 403
Xiaoming Peng Singapore 15 297 1.2× 112 1.1× 55 0.6× 507 5.2× 82 1.2× 108 805
Ravishankar Ravindran United States 14 581 2.3× 38 0.4× 49 0.5× 124 1.3× 70 1.0× 57 681
Yinhao Li China 9 79 0.3× 49 0.5× 52 0.5× 40 0.4× 38 0.6× 40 305
Rohit Bajaj India 10 79 0.3× 30 0.3× 25 0.3× 89 0.9× 51 0.8× 48 320
Jingzhao Li China 10 63 0.3× 56 0.6× 27 0.3× 100 1.0× 48 0.7× 46 310
Jingjing Luo China 13 375 1.5× 37 0.4× 44 0.4× 307 3.2× 64 1.0× 69 614
T. Karthikeyan India 10 84 0.3× 54 0.5× 61 0.6× 77 0.8× 20 0.3× 35 289
Duo Zhang China 8 79 0.3× 43 0.4× 23 0.2× 105 1.1× 70 1.0× 32 385

Countries citing papers authored by Chang Shu

Since Specialization
Citations

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

Fields of papers citing papers by Chang Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Shu. A scholar is included among the top collaborators of Chang Shu 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 Chang Shu. Chang Shu 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, Yaqin, Ping Li, Peng Cui, et al.. (2024). Precisely Constructing Molecular Junctions in Hydrogen‐Bonded Organic Frameworks for Efficient Artificial Photosynthetic CO2 Reduction. Angewandte Chemie International Edition. 63(46). e202413131–e202413131. 9 indexed citations
2.
Sun, Ruixue, Xiaoju Yang, Xunliang Hu, et al.. (2024). Unprecedented Photocatalytic Hydrogen Peroxide Production via Covalent Triazine Frameworks Constructed from Fused Building Blocks. Angewandte Chemie International Edition. 64(4). e202416350–e202416350. 64 indexed citations
3.
4.
Shu, Chang, et al.. (2024). Probabilistic Task Offloading with Uncertain Processing Times in Device-to-Device Edge Networks. Electronics. 13(10). 1889–1889.
5.
Yan, Yan, et al.. (2022). Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17224–17240. 30 indexed citations
6.
Shu, Chang, et al.. (2022). Exploiting Duplications for Efficient Task Offloading in Multi-User Edge Computing. Electronics. 11(14). 2244–2244. 3 indexed citations
7.
Liu, Bilin, et al.. (2021). Growth marks in eyestalks of Portunus trituberculatus: A development of technique and evidence of molting. Acta Oceanologica Sinica. 40(4). 84–91. 1 indexed citations
8.
Shu, Chang, et al.. (2020). Deploying Network Functions for Multiaccess Edge-IoT With Deep Reinforcement Learning. IEEE Internet of Things Journal. 7(10). 9507–9516. 10 indexed citations
9.
Jiang, Yuhong, et al.. (2020). Federated Learning Based Mobile Crowd Sensing with Unreliable User Data. 320–327. 10 indexed citations
10.
11.
Shu, Chang, et al.. (2019). Multi-User Offloading for Edge Computing Networks: A Dependency-Aware and Latency-Optimal Approach. IEEE Internet of Things Journal. 7(3). 1678–1689. 161 indexed citations
12.
Wang, Zhe, et al.. (2019). Orchestrating Service Function Chains with Joint Resource Optimization in NFV Networks. 1. 1115–1122. 1 indexed citations
13.
Shu, Chang, et al.. (2019). Mobile Edge Aided Data Dissemination for Wireless Healthcare Systems. IEEE Transactions on Computational Social Systems. 6(5). 898–906. 13 indexed citations
14.
15.
Zhao, Zhiwei, et al.. (2018). Embedding Virtual Network Functions with Backup for Reliable Large-Scale Edge Computing. 28. 190–195. 6 indexed citations
16.
Zhao, Zhiwei, et al.. (2018). Non-Intrusive Biometric Identification for Personalized Computing Using Wireless Big Data. 901–908. 7 indexed citations
17.
Shu, Chang, et al.. (2017). Optimizing deep neural network structure for face recognition. 3. 1–4. 2 indexed citations
18.
Wang, Zhe, et al.. (2017). GCG: General Consistencies Guarantee of Software-Defined Network Updates. 631–632. 1 indexed citations
19.
Fu, Zhizhong, Yanjing Yang, Chang Shu, et al.. (2015). Improved single image dehazing using dark channel prior. Journal of Systems Engineering and Electronics. 26(5). 1070–1079. 25 indexed citations
20.
Shu, Chang & Xingming Zhang. (2012). <title>Research on virtualization-based video-on-demand services architecture</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8349. 83491A–83491A. 2 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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