Su Shaosen

19 total papers · 437 total citations
16 papers, 333 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 333 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 Extraction and Separation Processes (4 papers). Su Shaosen is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (8 papers) and Extraction and Separation Processes (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, Quan Zhou, Yongsheng Li, 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 317 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Su Shaosen 262 225 63 47 24 16 333
Ruifei Ma 223 0.9× 255 1.1× 104 1.7× 48 1.0× 55 2.3× 18 373
Shiyi Fu 221 0.8× 218 1.0× 54 0.9× 70 1.5× 28 1.2× 18 311
Mohamed Ahmeid 189 0.7× 300 1.3× 55 0.9× 95 2.0× 11 0.5× 16 369
Jiaqi Li 258 1.0× 209 0.9× 44 0.7× 99 2.1× 13 0.5× 19 306
Daniel Koch 218 0.8× 206 0.9× 115 1.8× 19 0.4× 86 3.6× 12 337
Matthias Kuipers 317 1.2× 306 1.4× 32 0.5× 53 1.1× 4 0.2× 21 384
Siva Priya Thiagarajah 201 0.8× 254 1.1× 93 1.5× 26 0.6× 32 1.3× 22 316
Xiangming Yao 105 0.4× 149 0.7× 36 0.6× 14 0.3× 13 0.5× 29 391
Qiangqiang Liao 249 1.0× 301 1.3× 33 0.5× 36 0.8× 10 0.4× 11 368
Yi Yang 57 0.2× 165 0.7× 62 1.0× 64 1.4× 13 0.5× 26 348

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

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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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