Su Shaosen

448 total citations
16 papers, 343 citations indexed

About

Su Shaosen is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Su Shaosen has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Su Shaosen's work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (8 papers) and Electric Vehicles and Infrastructure (4 papers). Su Shaosen is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (8 papers) and Electric Vehicles and Infrastructure (4 papers). Su Shaosen collaborates with scholars based in China, India and Taiwan. Su Shaosen's co-authors include Liang Gao, Akhil Garg, Wei Li, Jianhui Mou, Jie Liu, Yongsheng Li, Quan Zhou, Akhil Garg, Ningbo Wang and Prashant Baredar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Electrochimica Acta.

In The Last Decade

Su Shaosen

14 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Shaosen China 10 271 229 64 49 25 16 343
Aiqiang Pan China 10 183 0.7× 263 1.1× 50 0.8× 70 1.4× 16 0.6× 44 329
Xinzhou Li China 6 333 1.2× 385 1.7× 59 0.9× 38 0.8× 19 0.8× 15 436
Xinan Zhou China 11 335 1.2× 318 1.4× 116 1.8× 84 1.7× 76 3.0× 20 463
Thomas Nemeth Germany 9 398 1.5× 410 1.8× 31 0.5× 57 1.2× 4 0.2× 11 476
Eng Eng Ngu Malaysia 8 201 0.7× 443 1.9× 103 1.6× 270 5.5× 32 1.3× 15 527
Akash Samanta Canada 11 320 1.2× 292 1.3× 32 0.5× 97 2.0× 4 0.2× 42 544
Dennis Doerffel United Kingdom 4 521 1.9× 497 2.2× 40 0.6× 146 3.0× 8 0.3× 7 646
Yunfeng Huang China 8 435 1.6× 483 2.1× 242 3.8× 50 1.0× 135 5.4× 17 614
Yinbo Wu China 5 380 1.4× 424 1.9× 50 0.8× 52 1.1× 3 0.1× 6 552
Tadele Mamo Taiwan 8 227 0.8× 257 1.1× 28 0.4× 88 1.8× 9 0.4× 10 383

Countries citing papers authored by Su Shaosen

Since Specialization
Citations

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

Fields of papers citing papers by Su Shaosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Shaosen

This figure shows the co-authorship network connecting the top 25 collaborators of Su Shaosen. A scholar is included among the top collaborators of Su Shaosen 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 Su Shaosen. Su Shaosen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Shaosen, Su, Liang Gao, Akhil Garg, & Wei Li. (2025). Physics-constrained machine learning for real-time lithium-ion battery health estimation from constant voltage charging data. Electrochimica Acta. 543. 147608–147608.
2.
Shaosen, Su, et al.. (2024). Enhancing battery health estimation using model selection criteria-based genetic programming. Journal of Energy Storage. 102. 114077–114077. 2 indexed citations
3.
Mou, Jianhui, Chengzhong Yu, Peiyong Duan, et al.. (2024). Multi-Scenario Deep Learning-Based Framework to Estimate the Remaining Charge Time of Lithium-Ion Power Batteries. 1(3). 229–248.
4.
Shaosen, Su, et al.. (2023). Cloud-Battery management system based health-aware battery fast charging architecture using error-correction strategy for electric vehicles. Sustainable Energy Grids and Networks. 36. 101197–101197. 11 indexed citations
5.
Putungan, Darwin Barayang, Su Shaosen, Liang Gao, et al.. (2023). Prediction of sodium binding energy on 2D VS2via machine learning: a robust accompanying method to ab initio random structure searching. Physical Chemistry Chemical Physics. 25(21). 15008–15014. 2 indexed citations
6.
Shaosen, Su, Wei Li, Jianhui Mou, et al.. (2022). A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring. IEEE Transactions on Transportation Electrification. 9(1). 1113–1127. 93 indexed citations
7.
Wang, Ningbo, Akhil Garg, Su Shaosen, et al.. (2022). Echelon Utilization of Retired Power Lithium-Ion Batteries: Challenges and Prospects. Batteries. 8(8). 96–96. 44 indexed citations
8.
Garg, Akhil, Jianhui Mou, Su Shaosen, & Liang Gao. (2022). Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins. SHILAP Revista de lepidopterología. 4(3). 232–248. 12 indexed citations
9.
Shaosen, Su, Wei Li, Akhil Garg, & Liang Gao. (2022). An adaptive boosting charging strategy optimization based on thermoelectric-aging model, surrogates and multi-objective optimization. Applied Energy. 312. 118795–118795. 36 indexed citations
10.
Shaosen, Su, Wei Li, Yongsheng Li, et al.. (2021). Multi-objective design optimization of battery thermal management system for electric vehicles. Applied Thermal Engineering. 196. 117235–117235. 77 indexed citations
11.
Garg, Akhil, Su Shaosen, Fan Li, & Liang Gao. (2020). Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems. Swarm and Evolutionary Computation. 59. 100750–100750. 5 indexed citations
12.
13.
Shaosen, Su, et al.. (2019). Experimental and artificial intelligence for determination of stable criteria in cyclic voltammetric process of medicinal herbs for biofuel cells. International Journal of Energy Research. 43(11). 5983–5991. 14 indexed citations
14.
Garg, Akhil, Liu Yun, Su Shaosen, et al.. (2019). A combined experimental‐numerical framework for residual energy determination in spent lithium‐ion battery packs. International Journal of Energy Research. 43(9). 4390–4402. 9 indexed citations
15.
16.
Garg, Akhil, Su Shaosen, Liang Gao, Xiongbin Peng, & Prashant Baredar. (2019). Aging model development based on multidisciplinary parameters for lithium‐ion batteries. International Journal of Energy Research. 44(4). 2801–2818. 23 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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