E Shanshan

423 total citations
11 papers, 328 citations indexed

About

E Shanshan is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Biomaterials. According to data from OpenAlex, E Shanshan has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 8 papers in Industrial and Manufacturing Engineering and 3 papers in Biomaterials. Recurrent topics in E Shanshan's work include Recycling and Waste Management Techniques (8 papers), Extraction and Separation Processes (7 papers) and Aluminum Alloys Composites Properties (3 papers). E Shanshan is often cited by papers focused on Recycling and Waste Management Techniques (8 papers), Extraction and Separation Processes (7 papers) and Aluminum Alloys Composites Properties (3 papers). E Shanshan collaborates with scholars based in China and Australia. E Shanshan's co-authors include Bo Niu, Qiang Li, Ping Shi, Yang Chen, Zhenming Xu, Bo Niu, Chen Yang, Jie Guo, Jiefeng Xiao and Yilin Cao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Journal of Cleaner Production.

In The Last Decade

E Shanshan

10 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E Shanshan China	7	180	159	156	91	70	11	328
Djahida Sidane Algeria	8	97 0.5×	58 0.4×	162 1.0×	278 3.1×	24 0.3×	10	398
Sridevi Brundavanam Australia	6	291 1.6×	255 1.6×	224 1.4×	240 2.6×	14 0.2×	10	516
Ebrahim Akbari Iran	8	212 1.2×	169 1.1×	317 2.0×	248 2.7×	9 0.1×	8	528
Shahin Akhlaghi Iran	14	124 0.7×	115 0.7×	144 0.9×	144 1.6×	11 0.2×	22	499
D. A. Cortés Mexico	11	55 0.3×	89 0.6×	155 1.0×	152 1.7×	10 0.1×	21	342
Lairong Xiao China	11	92 0.5×	316 2.0×	198 1.3×	37 0.4×	34 0.5×	20	402
С. С. Песецкий Belarus	15	202 1.1×	97 0.6×	89 0.6×	42 0.5×	26 0.4×	50	551
Kjell Olafsen Norway	12	90 0.5×	51 0.3×	68 0.4×	59 0.6×	68 1.0×	22	353
Neale R. Neelameggham United States	9	220 1.2×	278 1.7×	166 1.1×	41 0.5×	23 0.3×	46	397

Countries citing papers authored by E Shanshan

Since Specialization

Citations

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

Fields of papers citing papers by E Shanshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Shanshan

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

All Works

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11 of 11 papers shown

Shanshan, E, et al.. (2025). Intelligent metal recovery from spent Li-ion batteries: machine learning breaks the barriers of traditional optimizations. Green Chemistry. 27(9). 2478–2492. 5 indexed citations

Xu, Boyang, et al.. (2025). Machine learning-guided rare earth recovery from NdFeB magnet waste: Model development, parameter influence analysis and experimental validation. Journal of Environmental Management. 384. 125578–125578. 1 indexed citations

Shanshan, E, et al.. (2025). Machine learning for efficient prediction and optimization of platinum group metal recovery from spent automotive catalysts. Waste Management. 207. 115132–115132.

Shanshan, E, et al.. (2025). Intelligent leaching of Zn and Mn from spent disposable batteries to avoid traditional optimizing experiments. Waste Management. 195. 145–154. 2 indexed citations

Shanshan, E, et al.. (2024). Physicochemical reactions in e-waste recycling . Nature Reviews Chemistry. 8(8). 569–586. 29 indexed citations

Shanshan, E, et al.. (2023). Intelligent leaching rare earth elements from waste fluorescent lamps. Proceedings of the National Academy of Sciences. 121(1). e2308502120–e2308502120. 13 indexed citations

Niu, Bo, E Shanshan, Zhenming Xu, & Jie Guo. (2023). How to efficient and high-value recycling of electronic components mounted on waste printed circuit boards: Recent progress, challenge, and future perspectives. Journal of Cleaner Production. 415. 137815–137815. 39 indexed citations

Niu, Bo, E Shanshan, Yilin Cao, et al.. (2021). Utilizing E-Waste for Construction of Magnetic and Core–Shell Z-Scheme Photocatalysts: An Effective Approach to E-Waste Recycling. Environmental Science & Technology. 55(2). 1279–1289. 34 indexed citations

Niu, Bo, et al.. (2015). Effects of sintering temperature on the corrosion behavior of AZ31 alloy with Ca–P sol–gel coating. Journal of Alloys and Compounds. 665. 435–442. 17 indexed citations

10.

Niu, Bo, et al.. (2015). Preparation and characterization of HA sol–gel coating on MAO coated AZ31 alloy. Surface and Coatings Technology. 286. 42–48. 63 indexed citations

11.

Shi, Ping, Bo Niu, E Shanshan, Yang Chen, & Qiang Li. (2014). Preparation and characterization of PLA coating and PLA/MAO composite coatings on AZ31 magnesium alloy for improvement of corrosion resistance. Surface and Coatings Technology. 262. 26–32. 125 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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