Fengjun Shang

575 total citations
34 papers, 364 citations indexed

About

Fengjun Shang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Fengjun Shang has authored 34 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in Fengjun Shang's work include Energy Efficient Wireless Sensor Networks (18 papers), Mobile Ad Hoc Networks (11 papers) and Security in Wireless Sensor Networks (6 papers). Fengjun Shang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (18 papers), Mobile Ad Hoc Networks (11 papers) and Security in Wireless Sensor Networks (6 papers). Fengjun Shang collaborates with scholars based in China, Australia and Russia. Fengjun Shang's co-authors include Mehdhar S. A. M. Al-Gaashani, Mohammed Saleh Ali Muthanna, Mashael Khayyat, Ahmed A. Abd El‐Latif, Lei Yang, Ying Wang, Dan Zhou, Jianbo Liu, Tadeusz A. Wysocki and Mehran Abolhasan and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and IEEE Internet of Things Journal.

In The Last Decade

Fengjun Shang

27 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjun Shang China 10 230 128 77 39 28 34 364
Aymen I. Zreikat Kuwait 9 86 0.4× 92 0.7× 124 1.6× 32 0.8× 19 0.7× 32 351
Pranav M. Pawar United Arab Emirates 13 250 1.1× 50 0.4× 106 1.4× 148 3.8× 32 1.1× 64 470
Ailing Xiao China 12 195 0.8× 120 0.9× 32 0.4× 48 1.2× 11 0.4× 41 319
Malathy Sathyamoorthy India 10 67 0.3× 106 0.8× 27 0.4× 35 0.9× 12 0.4× 43 233
Mamatha Balachandra India 8 94 0.4× 48 0.4× 151 2.0× 25 0.6× 41 1.5× 30 309
Lovepreet Kaur India 10 77 0.3× 54 0.4× 47 0.6× 26 0.7× 13 0.5× 40 256
Sanjeev J. Wagh India 8 166 0.7× 84 0.7× 20 0.3× 25 0.6× 6 0.2× 37 245
Roopali Dogra India 8 159 0.7× 110 0.9× 58 0.8× 27 0.7× 27 1.0× 9 289
Deepak Upadhyay India 9 103 0.4× 152 1.2× 27 0.4× 55 1.4× 5 0.2× 138 339
Vishal Pallagani United States 6 44 0.2× 83 0.6× 95 1.2× 34 0.9× 20 0.7× 10 244

Countries citing papers authored by Fengjun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjun Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjun Shang. A scholar is included among the top collaborators of Fengjun 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 Fengjun Shang. Fengjun 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.
Wang, Ying, et al.. (2025). GATR: a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization. Journal of King Saud University - Computer and Information Sciences. 37(9).
2.
Shang, Fengjun & Qizhi Liu. (2025). K-shape clustering and STL decomposition with transformer fusion RF user power consumption forecasting model. Expert Systems with Applications. 299. 130142–130142.
3.
Wang, Ying, et al.. (2025). A comprehensive survey of multi-agent deep reinforcement learning for wireless spectrum management. Neurocomputing. 653. 131236–131236.
4.
Shang, Fengjun, et al.. (2024). An adaptive fault detection model based on variational auto-encoders and unsupervised transfer learning. Applied Soft Computing. 157. 111515–111515. 3 indexed citations
5.
Shang, Fengjun & Xinxin Deng. (2024). A data sharing scheme based on blockchain for privacy protection certification of Internet of Vehicles. Vehicular Communications. 51. 100864–100864. 3 indexed citations
6.
Wang, Ying, et al.. (2024). Robust and energy-efficient RPL optimization algorithm with scalable deep reinforcement learning for IIoT. Computer Networks. 255. 110894–110894. 2 indexed citations
7.
8.
9.
Wang, Ying, et al.. (2022). Dual-attention assisted deep reinforcement learning algorithm for energy-efficient resource allocation in Industrial Internet of Things. Future Generation Computer Systems. 142. 150–164. 13 indexed citations
10.
Shang, Fengjun, et al.. (2020). Resource allocation and admission control algorithm based on non-cooperation game in wireless mesh networks. Computer Communications. 152. 63–71. 4 indexed citations
11.
Shang, Fengjun, et al.. (2018). The QoS routing mechanism based on key frame and improved ant colony optimization algorithm for wireless multimedia sensor networks. Journal of Computational Methods in Sciences and Engineering. 18(3). 605–626. 2 indexed citations
12.
Shang, Fengjun, et al.. (2018). Research on the intrusion detection model based on improved cumulative summation and evidence theory for wireless sensor network. Photonic Network Communications. 37(2). 212–223. 11 indexed citations
13.
Shang, Fengjun, et al.. (2018). An admission control algorithm based on matching game and differentiated service in wireless mesh networks. Neural Computing and Applications. 32(7). 2945–2962. 7 indexed citations
14.
Shang, Fengjun, et al.. (2017). Service-aware adaptive link load balancing mechanism for Software-Defined Networking. Future Generation Computer Systems. 81. 452–464. 30 indexed citations
15.
Shang, Fengjun. (2013). A Multi-hop Routing Algorithm based on Integrated Metrics for Wireless Sensor Networks. Applied Mathematics & Information Sciences. 7(3). 1021–1034. 4 indexed citations
16.
Zheng, Lili, et al.. (2012). Low Overhead Geometric On-Demand Routing Protocol for Mobile Ad Hoc Networks. Journal of Digital Information Management. 10(2). 114–120. 1 indexed citations
17.
Shang, Fengjun & Lei Yang. (2010). An Energy-Balanced Clustering Routing Algorithm for Wireless Sensor Network. Wireless Sensor Network. 2(10). 777–783. 18 indexed citations
18.
Shang, Fengjun, et al.. (2010). An unequal clustering protocol for wireless sensor networks. Journal of Computer Information Systems. 6(2). 477–486. 2 indexed citations
19.
Shang, Fengjun, et al.. (2009). A Clustering Hierarchy Arithmetic Based on Time Delay for Wireless Sensor Networks. Chuangan jishu xuebao. 22(11). 1645–1649. 1 indexed citations
20.
Shang, Fengjun, Mehran Abolhasan, & Tadeusz A. Wysocki. (2009). AN ENERGY-EFFICIENT ADAPTIVE CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS. 6(2). 117–126. 6 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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