Feng Shu

1.2k total citations · 1 hit paper
59 papers, 861 citations indexed

About

Feng Shu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Feng Shu has authored 59 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Feng Shu's work include Wireless Networks and Protocols (10 papers), Mobile Ad Hoc Networks (9 papers) and Cooperative Communication and Network Coding (9 papers). Feng Shu is often cited by papers focused on Wireless Networks and Protocols (10 papers), Mobile Ad Hoc Networks (9 papers) and Cooperative Communication and Network Coding (9 papers). Feng Shu collaborates with scholars based in China, Australia and Singapore. Feng Shu's co-authors include Yong Qi, Weibin Zhang, Yinghao Yu, Yinhai Wang, Yong‐Gui Gao, Yun Chen, Taka Sakurai, Rya Ero, Veerendra Kumar and Peter Dröge and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Feng Shu

53 papers receiving 832 citations

Hit Papers

Short-term traffic flow prediction based on spatio-tempor... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Shu China 13 230 216 193 179 146 59 861
Qi Qi China 15 253 1.1× 188 0.9× 174 0.9× 177 1.0× 32 0.2× 68 1.0k
Christopher K. Wilson United States 14 375 1.6× 62 0.3× 105 0.5× 23 0.1× 37 0.3× 24 939
Avnika Pant United States 8 108 0.5× 79 0.4× 176 0.9× 186 1.0× 187 1.3× 14 788
Shengjie Zhao China 20 220 1.0× 73 0.3× 222 1.2× 80 0.4× 33 0.2× 75 1.1k
Guijuan Wang China 15 97 0.4× 39 0.2× 84 0.4× 181 1.0× 25 0.2× 64 616
Zhaoyang Ai China 15 51 0.2× 39 0.2× 155 0.8× 66 0.4× 32 0.2× 33 551
Zahid Khan Saudi Arabia 15 71 0.3× 70 0.3× 316 1.6× 260 1.5× 40 0.3× 49 689
Fang‐Chieh Chou United States 19 540 2.3× 196 0.9× 56 0.3× 8 0.0× 39 0.3× 37 1.4k
Can Xu China 15 98 0.4× 91 0.4× 52 0.3× 13 0.1× 34 0.2× 52 804
Yuchen Zhou China 16 140 0.6× 11 0.1× 302 1.6× 277 1.5× 9 0.1× 65 826

Countries citing papers authored by Feng Shu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shu. A scholar is included among the top collaborators of Feng 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 Feng Shu. Feng 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, Qi, et al.. (2024). Transmit Power Minimization for Double-RIS-Enabled ISAC System. 1437–1442. 2 indexed citations
2.
Shu, Feng, et al.. (2024). Beamforming design for IRS-and-UAV-aided two-way amplify-and-forward relay networks in maritime IoT. China Communications. 21(8). 45–61. 1 indexed citations
3.
Shen, Yue, et al.. (2024). Joint Relay and Transmission Link Selection in RF/VLC Vehicular Networks. 1467–1472. 1 indexed citations
4.
Ye, Ai, et al.. (2023). High‐Dimensional Feature Selection Based on Improved Binary Ant Colony Optimization Combined with Hybrid Rice Optimization Algorithm. International Journal of Intelligent Systems. 2023(1). 13 indexed citations
5.
Shu, Feng, et al.. (2020). An algorithm for determining data forwarding strategy based on recommended trust value in MANET. International Journal of Embedded Systems. 12(4). 544–544. 9 indexed citations
6.
Zhang, Weibin, Yinghao Yu, Yong Qi, Feng Shu, & Yinhai Wang. (2019). Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning. Transportmetrica A Transport Science. 15(2). 1688–1711. 252 indexed citations breakdown →
7.
Qian, Yuwen, et al.. (2018). Design and Performance Analysis of Power Line Communication Networks Under Impulsive Noise in Smart Home. IEEE Access. 6. 71368–71377. 3 indexed citations
8.
Yu, Hai, et al.. (2017). A cooperative modulation recognition: New paradigm for power line networks in smart grid. Physical Communication. 25. 268–276. 7 indexed citations
9.
Qian, Yuwen, et al.. (2016). Sub‐channel assignment and link schedule for In‐Home power line communication network. IET Communications. 11(5). 673–679. 6 indexed citations
10.
Zhang, Yijin, et al.. (2016). Protocol Sequences for the Multiple-Packet Reception Channel Without Feedback. IEEE Transactions on Communications. 64(4). 1687–1698. 18 indexed citations
11.
Ero, Rya, Yun Chen, Feng Shu, et al.. (2015). Crystal structure of Gib2, a signal-transducing protein scaffold associated with ribosomes in Cryptococcus neoformans. Scientific Reports. 5(1). 8688–8688. 11 indexed citations
12.
Shu, Feng, Yu Chen, Xiaohu You, & Jinhui Lu. (2014). Low-complexity optimal spatial channel pairing for AF-based multi-pair two-way relay networks. Science China Information Sciences. 57(10). 1–10. 5 indexed citations
13.
Shu, Feng, Yun Chen, & Yong‐Gui Gao. (2013). Crystal Structure of 70S Ribosome with Both Cognate tRNAs in the E and P Sites Representing an Authentic Elongation Complex. PLoS ONE. 8(3). e58829–e58829. 30 indexed citations
14.
Chen, Yun, Feng Shu, Veerendra Kumar, Rya Ero, & Yong‐Gui Gao. (2013). Structure of EF-G–ribosome complex in a pretranslocation state. Nature Structural & Molecular Biology. 20(9). 1077–1084. 75 indexed citations
15.
Shu, Feng, Yun Chen, Katsuhiko Kamada, et al.. (2013). YoeB–ribosome structure: a canonical RNase that requires the ribosome for its specific activity. Nucleic Acids Research. 41(20). 9549–9556. 41 indexed citations
16.
Shu, Feng, Heng Li, Jing Zhao, et al.. (2011). Alternate rRNA secondary structures as regulators of translation. Nature Structural & Molecular Biology. 18(2). 169–176. 40 indexed citations
17.
Shu, Feng & Taka Sakurai. (2011). A new analytical model for the IEEE 802.15.4 CSMA-CA protocol. Computer Networks. 55(11). 2576–2591. 13 indexed citations
18.
Shu, Feng, Malka N. Halgamuge, & Wei Chen. (2009). Building Automation Systems Using Wireless Sensor Networks: Radio Characteristics and Energy Efficient Communication Protocols. Electronic Journal of Structural Engineering. 9(1). 66–73. 11 indexed citations
19.
Li, Heng, et al.. (2009). Human genomic Z-DNA segments probed by the Zα domain of ADAR1. Nucleic Acids Research. 37(8). 2737–2746. 57 indexed citations
20.
Yang, Ping, et al.. (2009). Differentiation and quality estimation of Cordyceps with infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 74(4). 983–990. 25 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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