Shangxing Wang

1.2k total citations · 1 hit paper
27 papers, 831 citations indexed

About

Shangxing Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Shangxing Wang has authored 27 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 10 papers in Control and Systems Engineering. Recurrent topics in Shangxing Wang's work include Power System Optimization and Stability (9 papers), Microgrid Control and Optimization (9 papers) and HVDC Systems and Fault Protection (6 papers). Shangxing Wang is often cited by papers focused on Power System Optimization and Stability (9 papers), Microgrid Control and Optimization (9 papers) and HVDC Systems and Fault Protection (6 papers). Shangxing Wang collaborates with scholars based in China, United States and Italy. Shangxing Wang's co-authors include Bhaskar Krishnamachari, Pedro Henrique Gomes, Hanpeng Liu, Xiangjun Li, Xinbing Wang, Wentao Huang, Jinbei Zhang, Chenhui Hu, Jing Ma and Zengping Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE/ACM Transactions on Networking.

In The Last Decade

Shangxing Wang

25 papers receiving 808 citations

Hit Papers

Deep Reinforcement Learning for Dynamic Multichannel Acce... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangxing Wang China 9 605 422 197 76 64 27 831
Guannan Qu United States 14 664 1.1× 183 0.4× 459 2.3× 150 2.0× 121 1.9× 36 945
Xiaojun Zhu China 15 605 1.0× 549 1.3× 77 0.4× 36 0.5× 61 1.0× 93 973
Junyao Guo United States 9 475 0.8× 104 0.2× 304 1.5× 103 1.4× 76 1.2× 13 736
Jianghong Han China 14 381 0.6× 229 0.5× 113 0.6× 12 0.2× 39 0.6× 54 575
Sambuddha Chakrabarti United States 4 906 1.5× 195 0.5× 651 3.3× 25 0.3× 55 0.9× 5 1.1k
Chaorui Zhang China 12 506 0.8× 107 0.3× 304 1.5× 28 0.4× 51 0.8× 36 679
Yunfeng Wen China 16 1.1k 1.8× 203 0.5× 846 4.3× 37 0.5× 84 1.3× 60 1.4k
Chandra Bajracharya United States 13 461 0.8× 357 0.8× 388 2.0× 32 0.4× 115 1.8× 27 770
Chin Choy Chai Singapore 14 1.4k 2.3× 951 2.3× 228 1.2× 28 0.4× 27 0.4× 66 1.4k
Subhash Lakshminarayana United Kingdom 18 484 0.8× 265 0.6× 307 1.6× 22 0.3× 77 1.2× 63 767

Countries citing papers authored by Shangxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shangxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangxing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shangxing Wang. A scholar is included among the top collaborators of Shangxing Wang 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 Shangxing Wang. Shangxing Wang 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
2.
Wang, Shangxing, et al.. (2022). An Energy Storage Scheduling Strategy Based on Computational Optimization Starting Point. 37. 169–173. 2 indexed citations
3.
Wang, Shangxing, et al.. (2022). Analysis on The Effect of Energy Storage on Improving the Transmission Capacity of UHVDC Transmission Line. 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE). 44. 295–300. 1 indexed citations
4.
Li, Xiangjun, Rui Ma, Ning Yan, Shangxing Wang, & Hui Dong. (2021). Research on Optimal Scheduling Method of Hybrid Energy Storage System Considering Health State of Echelon-Use Lithium-Ion Battery. IEEE Transactions on Applied Superconductivity. 31(8). 1–4. 12 indexed citations
6.
Wang, Shangxing, et al.. (2020). Coordinated peak regulation control strategy of BESS and thermal power units in high proportion new energy power system. 2020 IEEE Sustainable Power and Energy Conference (iSPEC). 579–584. 6 indexed citations
7.
Li, Xiangjun & Shangxing Wang. (2019). A review on energy management, operation control and application methods for grid battery energy storage systems. SHILAP Revista de lepidopterología. 154 indexed citations
8.
Wang, Shangxing, Hanpeng Liu, Pedro Henrique Gomes, & Bhaskar Krishnamachari. (2018). Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. IEEE Transactions on Cognitive Communications and Networking. 4(2). 257–265. 341 indexed citations breakdown →
9.
Ma, Jing, Shangxing Wang, Zengping Wang, Yang Qiu, & James S. Thorp. (2016). Power system energy stability region based on dynamic damping theory. IET Generation Transmission & Distribution. 10(12). 2907–2914. 7 indexed citations
10.
Ma, Jing, Shangxing Wang, Jie Wu, Peng Guo, & James S. Thorp. (2016). Time‐delay stability control strategy considering the jump characteristic of power system. IET Generation Transmission & Distribution. 11(1). 185–192. 3 indexed citations
11.
Ma, Jing, et al.. (2014). Classification and regression tree‐based adaptive damping control of inter‐area oscillations using wide‐area signals. IET Generation Transmission & Distribution. 8(6). 1177–1186. 19 indexed citations
12.
Ma, Jing, et al.. (2014). Application of Dual Youla Parameterization Based Adaptive Wide-Area Damping Control for Power System Oscillations. IEEE Transactions on Power Systems. 29(4). 1602–1610. 23 indexed citations
13.
Ma, Jing, Shangxing Wang, Zengping Wang, & James S. Thorp. (2014). Power system small‐signal stability region calculation method based on the guardian map theory. IET Generation Transmission & Distribution. 8(8). 1479–1488. 16 indexed citations
14.
Ma, Jing, Shangxing Wang, Yinan Li, & Yang Qiu. (2014). Power system multi-parameter small signal stability analysis based on 2nd order perturbation theory. International Journal of Electrical Power & Energy Systems. 67. 409–416. 6 indexed citations
15.
Wang, Shangxing, et al.. (2014). Contribution Factors Based Optimal Selection of Wide-area Signals for Power System Damping Control. Electric Power Components and Systems. 42(9). 935–944. 3 indexed citations
16.
Ma, Jing, et al.. (2014). Youla Parameterization Robust Control Strategy Considering Power System Uncertainties. Electric Power Components and Systems. 42(11). 1152–1157. 3 indexed citations
17.
Wang, Shangxing, Andrea Gasparri, & Bhaskar Krishnamachari. (2013). Robotic message ferrying for wireless networks using coarse-grained backpressure control. 1386–1390. 1 indexed citations
18.
Wang, Shangxing, Youyun Xu, & Xinbing Wang. (2012). Motioncast with general Markovian mobility. 756–764. 2 indexed citations
19.
Wang, Shangxing, et al.. (2012). History based predictive routing in multi-lane delay tolerable VANETs. 5440–5444. 2 indexed citations
20.
Wang, Xinbing, Wentao Huang, Shangxing Wang, Jinbei Zhang, & Chenhui Hu. (2011). Delay and Capacity Tradeoff Analysis for MotionCast. IEEE/ACM Transactions on Networking. 19(5). 1354–1367. 157 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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