Shunkun Yang

726 total citations
23 papers, 529 citations indexed

About

Shunkun Yang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Shunkun Yang has authored 23 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Automotive Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Shunkun Yang's work include Advanced Battery Technologies Research (5 papers), Advancements in Battery Materials (4 papers) and Electric Vehicles and Infrastructure (3 papers). Shunkun Yang is often cited by papers focused on Advanced Battery Technologies Research (5 papers), Advancements in Battery Materials (4 papers) and Electric Vehicles and Infrastructure (3 papers). Shunkun Yang collaborates with scholars based in China, United States and Pakistan. Shunkun Yang's co-authors include Chong Bian, Tingting Huang, Jie Liu, Enrico Zio, Jingming Wang, Guangming Gong, Shuying Wang, Lei Jiang, Juntao Wu and Zhongjia Yang and has published in prestigious journals such as Journal of Power Sources, The Journal of Physical Chemistry C and Expert Systems with Applications.

In The Last Decade

Shunkun Yang

19 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunkun Yang China 8 355 336 105 44 37 23 529
Shengjie Jiao China 14 161 0.5× 181 0.5× 179 1.7× 7 0.2× 17 0.5× 54 573
Shiquan Shen China 15 587 1.7× 543 1.6× 182 1.7× 11 0.3× 8 0.2× 37 816
Gang Lin China 14 215 0.6× 438 1.3× 231 2.2× 4 0.1× 26 0.7× 58 714
Hans-Christian Reuss Germany 13 191 0.5× 195 0.6× 149 1.4× 1 0.0× 14 0.4× 82 484
Denise Rizzo United States 15 408 1.1× 382 1.1× 141 1.3× 28 0.8× 66 749
Edi Leksono Indonesia 10 191 0.5× 263 0.8× 112 1.1× 2 0.0× 34 0.9× 72 485
Bolun Du China 15 153 0.4× 362 1.1× 233 2.2× 2 0.0× 15 0.4× 30 764
Ronghua Du China 10 273 0.8× 174 0.5× 80 0.8× 1 0.0× 19 0.5× 32 417
Mohammed E. Sayed United Kingdom 12 209 0.6× 224 0.7× 146 1.4× 1 0.0× 23 0.6× 16 608
Emilia Silvaş Netherlands 11 620 1.7× 406 1.2× 124 1.2× 7 0.2× 38 728

Countries citing papers authored by Shunkun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shunkun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunkun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunkun Yang. A scholar is included among the top collaborators of Shunkun Yang 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 Shunkun Yang. Shunkun Yang 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.
Zhao, Wenbing, Shunkun Yang, & Xiong Luo. (2025). Blockchain-Facilitated Cybersecurity for Ubiquitous Internet of Things with Space–Air–Ground Integrated Networks: A Survey. Sensors. 25(2). 383–383. 2 indexed citations
2.
Bian, Chong, et al.. (2025). Prompting large language model for multi-location multi-step zero-shot wind power forecasting. Expert Systems with Applications. 280. 127436–127436. 4 indexed citations
3.
Yang, Shunkun, et al.. (2025). DCML-CSAR: A deep cascaded framework with dual-coupled memory learning and orthogonal feature extraction via recursive parameter transfer for SOH-RUL assessment. Reliability Engineering & System Safety. 264. 111380–111380. 1 indexed citations
4.
5.
Zhao, Wenbing, et al.. (2025). Machine Learning in Baseball Analytics: Sabermetrics and Beyond. Information. 16(5). 361–361.
6.
Yang, Shunkun, et al.. (2024). Topological clustering particle swarm optimizer based on adaptive resonance theory for multimodal multi-objective problems. Information Sciences. 679. 121106–121106. 2 indexed citations
7.
Yang, Shunkun, et al.. (2024). PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations. Frontiers of Information Technology & Electronic Engineering. 25(6). 839–855. 1 indexed citations
8.
Yang, Shunkun, et al.. (2024). Multi-Objective Software Defect Prediction via Multi-Source Uncertain Information Fusion and Multi-Task Multi-View Learning. IEEE Transactions on Software Engineering. 50(8). 2054–2076.
9.
Zhao, Wenbing, Shunkun Yang, & Xiong Luo. (2024). Formulating Major League Baseball Playoff Prediction as a Ranking Problem. 74–81. 1 indexed citations
10.
Bian, Chong, et al.. (2023). A novel integrated SOC–SOH estimation framework for whole-life-cycle lithium-ion batteries. Energy. 288. 129801–129801. 32 indexed citations
11.
Kang, Rui, et al.. (2022). Optimal flow and capacity allocation in multiple joint quickest paths of directed networks. Computers & Operations Research. 150. 106053–106053. 1 indexed citations
12.
Bian, Chong, Shunkun Yang, Jie Liu, & Enrico Zio. (2022). Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. Applied Soft Computing. 116. 108401–108401. 39 indexed citations
13.
Li, Qingjuan, Wei Huangfu, Fadi Farha, et al.. (2020). Multi-resident type recognition based on ambient sensors activity. Future Generation Computer Systems. 112. 108–115. 17 indexed citations
14.
15.
Bian, Chong, et al.. (2019). Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries. Energy. 191. 116538–116538. 211 indexed citations
16.
Bian, Chong, et al.. (2019). State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture. Journal of Power Sources. 449. 227558–227558. 117 indexed citations
17.
Yang, Shunkun, et al.. (2018). Optimizing random searches on three-dimensional lattices. Physica A Statistical Mechanics and its Applications. 501. 120–125. 5 indexed citations
18.
Xu, Yanhong, et al.. (2018). Robustness of spectrum-based fault localisation in environments with labelling perturbations. Journal of Systems and Software. 147. 172–214. 7 indexed citations
19.
Wang, Shuying, Zhongjia Yang, Guangming Gong, et al.. (2016). Icephobicity of Penguins Spheniscus Humboldti and an Artificial Replica of Penguin Feather with Air-Infused Hierarchical Rough Structures. The Journal of Physical Chemistry C. 120(29). 15923–15929. 54 indexed citations
20.
Yang, Shunkun, et al.. (2016). RGA: A lightweight and effective regeneration genetic algorithm for coverage-oriented software test data generation. Information and Software Technology. 76. 19–30. 17 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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