Shanshan Ji

812 total citations
28 papers, 695 citations indexed

About

Shanshan Ji is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Shanshan Ji has authored 28 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Shanshan Ji's work include Advanced battery technologies research (5 papers), Quantum Dots Synthesis And Properties (4 papers) and Copper-based nanomaterials and applications (4 papers). Shanshan Ji is often cited by papers focused on Advanced battery technologies research (5 papers), Quantum Dots Synthesis And Properties (4 papers) and Copper-based nanomaterials and applications (4 papers). Shanshan Ji collaborates with scholars based in China, Singapore and Russia. Shanshan Ji's co-authors include Tianxi Liu, Weng Weei Tjiu, Yue‐E Miao, Chao Zhang, Yunpeng Huang, Zheng Zhang, Zhe Yang, Jisheng Pan, Zhenyan Liu and Zhe Yang and has published in prestigious journals such as Journal of The Electrochemical Society, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.

In The Last Decade

Shanshan Ji

25 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Ji China 10 334 279 209 112 110 28 695
Yang Tan China 11 248 0.7× 153 0.5× 178 0.9× 60 0.5× 143 1.3× 13 501
Shujuan Meng China 15 200 0.6× 145 0.5× 137 0.7× 53 0.5× 76 0.7× 33 509
Miguel A. Oliver‐Tolentino Mexico 18 557 1.7× 310 1.1× 356 1.7× 97 0.9× 58 0.5× 31 915
Leiming Lang China 16 432 1.3× 307 1.1× 353 1.7× 64 0.6× 58 0.5× 43 963
Nipa Roy South Korea 17 507 1.5× 289 1.0× 215 1.0× 67 0.6× 106 1.0× 45 816
Dmıtry V. Konev Russia 17 558 1.7× 205 0.7× 168 0.8× 243 2.2× 179 1.6× 105 871
Víctor Karim Abdelkader-Fernández Spain 15 256 0.8× 391 1.4× 375 1.8× 60 0.5× 45 0.4× 32 780
Duanduan Yin China 15 494 1.5× 259 0.9× 276 1.3× 172 1.5× 130 1.2× 32 735
Xiao‐Jue Bai China 17 305 0.9× 410 1.5× 304 1.5× 51 0.5× 55 0.5× 26 867
Weijian Xu China 13 268 0.8× 423 1.5× 119 0.6× 47 0.4× 202 1.8× 30 916

Countries citing papers authored by Shanshan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Ji. A scholar is included among the top collaborators of Shanshan Ji 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 Shanshan Ji. Shanshan Ji 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.
2.
Ji, Shanshan, et al.. (2024). The Characteristics of Coronary Artery Lesions in COVID-19 Infected Patients With Coronary Artery Disease: An Optical Coherence Tomography Study. The American Journal of Cardiology. 226. 108–117. 1 indexed citations
3.
Ji, Shanshan, et al.. (2024). The Impact of Employee Stock Ownership Plans on Capital Structure Decisions: Evidence from China. Mathematics. 12(19). 3118–3118.
4.
Yang, Tieying, Yingjie Zhang, Enrico Drioli, et al.. (2024). Constructing polyamide/ceramic composite membranes for highly efficient and selective separation of dyes and salts from solution. Environmental Science Water Research & Technology. 10(8). 1871–1880. 2 indexed citations
5.
Ji, Shanshan, et al.. (2023). Wastewater treatment: A universal, scalable and recyclable catalyst with adjustable activity for diverse dyes degradation. Journal of Environmental Management. 330. 117188–117188. 6 indexed citations
6.
Ji, Shanshan, et al.. (2023). The Contract Design of Employee Stock Ownership Plan and Enterprise Innovation Investment: Evidence from China. Sustainability. 15(3). 2601–2601. 3 indexed citations
7.
Li, Yun, Hao Xu, Peixia Yang, et al.. (2022). Interfacial engineering induced highly efficient CoNiP@NiFe layered double hydroxides bifunctional electrocatalyst for water splitting. Materials Today Energy. 25. 100975–100975. 38 indexed citations
8.
Ji, Shanshan, et al.. (2022). Network traffic prediction based on least squares support vector machine with simple estimation of Gaussian kernel width. International Journal of Information and Computer Security. 18(1/2). 1–1. 3 indexed citations
9.
10.
Wang, Linxia, Lixin Wang, Min Li, et al.. (2021). Genome-wide identification of IQ67 domain (IQD) gene families in Chinese jujube (Ziziphus jujuba Mill.) and expression profiles in response to cold stress. Scientia Horticulturae. 293. 110686–110686. 5 indexed citations
11.
Li, Ruopeng, Qingyang Li, Lihui Xiao, et al.. (2021). Se-induced underpotential deposition of amorphous CoSe2 ultrathin nanosheet arrays as high-efficiency oxygen evolution electrocatalysts for zinc–air batteries. Materials Today Energy. 22. 100882–100882. 24 indexed citations
12.
Yang, Ji‐Min, Baochan Yang, Yan Zhang, et al.. (2019). Rapid adsorptive removal of cationic and anionic dyes from aqueous solution by a Ce(III)-doped Zr-based metal–organic framework. Microporous and Mesoporous Materials. 292. 109764–109764. 62 indexed citations
13.
Ji, Shanshan. (2019). MUSICAL EAR TRAINING AND SOLFEGGIO PRACTICE IN MODERN CHINA. Manuscript. 12(5). 175–178.
14.
Ji, Shanshan, Maozhong An, Peixia Yang, & Jinqiu Zhang. (2017). Improved ionic liquid-based mixed electrolyte by incorporating alcohols for CuIn x Ga 1-x Se 2 films deposition. Surface and Coatings Technology. 325. 722–728. 4 indexed citations
15.
Zhang, Jie, et al.. (2016). Electrochemical Study of the Diffusion and Nucleation of Gallium(III) in [Bmim][TfO] Ionic Liquid. Electrochimica Acta. 190. 1066–1077. 23 indexed citations
16.
Ji, Shanshan, et al.. (2015). Electrodeposition of CuInxGa1−xSe2 thin films via pulse technique from Ionic liquid containing n-propyl alcohol. Materials Letters. 161. 411–414. 2 indexed citations
17.
Ji, Shanshan, Zhe Yang, Chao Zhang, et al.. (2013). Nonenzymatic sensor for glucose based on a glassy carbon electrode modified with Ni(OH)2 nanoparticles grown on a film of molybdenum sulfide. Microchimica Acta. 180(11-12). 1127–1134. 46 indexed citations
18.
Yang, Zhe, Shanshan Ji, Wei Gao, et al.. (2013). Magnetic nanomaterial derived from graphene oxide/layered double hydroxide hybrid for efficient removal of methyl orange from aqueous solution. Journal of Colloid and Interface Science. 408. 25–32. 126 indexed citations
19.
Ji, Shanshan, et al.. (2012). An Extension of Dynamic Programming Algorithm in Robotic Path Planning. 1709–1712. 2 indexed citations
20.

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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