Liling Wei

2.0k total citations
49 papers, 1.7k citations indexed

About

Liling Wei is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Environmental Engineering. According to data from OpenAlex, Liling Wei has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 34 papers in Renewable Energy, Sustainability and the Environment and 23 papers in Environmental Engineering. Recurrent topics in Liling Wei's work include Electrocatalysts for Energy Conversion (31 papers), Microbial Fuel Cells and Bioremediation (23 papers) and Electrochemical sensors and biosensors (20 papers). Liling Wei is often cited by papers focused on Electrocatalysts for Energy Conversion (31 papers), Microbial Fuel Cells and Bioremediation (23 papers) and Electrochemical sensors and biosensors (20 papers). Liling Wei collaborates with scholars based in China. Liling Wei's co-authors include Jianquan Shen, Hongliang Han, Chun Cao, Jianting Liu, Mao-Jin Cui, Min Su, Haijun Yang, Gang Wang, Fuxian Wang and Qiong Liu and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Journal of Power Sources.

In The Last Decade

Liling Wei

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liling Wei China 24 945 811 757 396 287 49 1.7k
Swee Su Lim Malaysia 17 686 0.7× 317 0.4× 811 1.1× 368 0.9× 254 0.9× 31 1.2k
Sung-Gwan Park South Korea 17 433 0.5× 242 0.3× 514 0.7× 218 0.6× 162 0.6× 24 878
László Koók Hungary 21 629 0.7× 172 0.2× 837 1.1× 359 0.9× 301 1.0× 43 1.2k
Yolanda Álvarez‐Gallego Belgium 13 568 0.6× 275 0.3× 697 0.9× 307 0.8× 176 0.6× 17 965
Chuanqi Liu China 14 471 0.5× 154 0.2× 305 0.4× 323 0.8× 207 0.7× 36 1.1k
Abhilasha Singh Mathuriya India 17 438 0.5× 140 0.2× 571 0.8× 253 0.6× 124 0.4× 34 827
Guo-Long Zang China 16 395 0.4× 241 0.3× 366 0.5× 164 0.4× 123 0.4× 22 984
Lang Xu China 23 765 0.8× 657 0.8× 60 0.1× 571 1.4× 116 0.4× 52 1.3k
Yongwei Zhang China 21 629 0.7× 883 1.1× 33 0.0× 201 0.5× 84 0.3× 33 1.3k
Xinhong Peng China 10 354 0.4× 160 0.2× 382 0.5× 319 0.8× 218 0.8× 19 752

Countries citing papers authored by Liling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Liling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liling Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Liling Wei. A scholar is included among the top collaborators of Liling Wei 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 Liling Wei. Liling Wei 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.
Wei, Liling, et al.. (2024). Evaluation of individual metal contribution on active sites tailoring in multimetallic oxygen evolution catalytic system. Journal of Colloid and Interface Science. 678(Pt A). 176–185. 3 indexed citations
2.
Wei, Liling, et al.. (2024). Evaluating the Fe-doping effect on intermediate adsorption modulation for Co-based vanadates toward separation of hydrogen from water electrolysis. Separation and Purification Technology. 349. 127920–127920. 1 indexed citations
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Chu, Changshun, et al.. (2024). Superhydrophilic 3D amorphous/crystalline heterostructure: Nanosheets-assembled CoMoP-FexP/NF as efficient bifunctional electrodes for alkaline water splitting. International Journal of Hydrogen Energy. 63. 231–240. 6 indexed citations
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Chu, Changshun, et al.. (2024). Self-supporting trace Pt-decorated ternary metal phosphide as efficient bifunctional electrocatalyst for water splitting. Journal of Alloys and Compounds. 1009. 176946–176946. 4 indexed citations
7.
Liu, Qiong, et al.. (2023). Simultaneous co‐Photocatalytic CO2Reduction and Ethanol Oxidation towards Synergistic Acetaldehyde Synthesis. Angewandte Chemie International Edition. 62(13). e202218720–e202218720. 45 indexed citations
8.
Liu, Qiong, et al.. (2023). Simultaneous co‐Photocatalytic CO2Reduction and Ethanol Oxidation towards Synergistic Acetaldehyde Synthesis. Angewandte Chemie. 135(13). 13 indexed citations
9.
Wang, Huiqiang, Liling Wei, & Jianquan Shen. (2022). Iron-gelatin aerogel derivative as high-performance oxygen reduction reaction electrocatalysts in microbial fuel cells. International Journal of Hydrogen Energy. 47(41). 17982–17991. 7 indexed citations
10.
Liu, Jianting, Liling Wei, Changshun Chu, & Jianquan Shen. (2022). Tofu gel-derived nitrogen and trace iron co-doped porous carbon as highly efficient air-cathode electrocatalyst for microbial fuel cells. Journal of Power Sources. 527. 230960–230960. 23 indexed citations
11.
Cheng, Hui, et al.. (2021). CoMo2S4 with Superior Conductivity for Electrocatalytic Hydrogen Evolution: Elucidating the Key Role of Co. Advanced Functional Materials. 31(37). 65 indexed citations
12.
Wang, Huiqiang, Liling Wei, Jianting Liu, & Jianquan Shen. (2020). Hollow N-doped bimetal carbon spheres with superior ORR catalytic performance for microbial fuel cells. Journal of Colloid and Interface Science. 575. 177–182. 33 indexed citations
13.
Liu, Jianting, Liling Wei, Chun Cao, et al.. (2019). Salt-induced silk gel-derived N and trace Fe co-doped 3D porous carbon as an oxygen reduction catalyst in microbial fuel cells. Nanoscale. 11(28). 13431–13439. 18 indexed citations
14.
Liu, Jianting, et al.. (2019). A novel hard-template method for fabricating tofu-gel based N self-doped porous carbon as stable and cost-efficient electrocatalyst in microbial fuel cell. International Journal of Hydrogen Energy. 44(48). 26477–26488. 15 indexed citations
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Wang, Gang, Liling Wei, Chun Cao, Min Su, & Jianquan Shen. (2017). Novel resolution-contrast method employed for investigating electron transfer mechanism of the mixed bacteria microbial fuel cell. International Journal of Hydrogen Energy. 42(16). 11614–11621. 18 indexed citations
18.
Cao, Chun, Liling Wei, Min Su, Gang Wang, & Jianquan Shen. (2016). Low-cost adsorbent derived and in situ nitrogen/iron co-doped carbon as efficient oxygen reduction catalyst in microbial fuel cells. Bioresource Technology. 214. 348–354. 57 indexed citations
19.
Cao, Chun, Liling Wei, Min Su, Gang Wang, & Jianquan Shen. (2016). “Spontaneous bubble-template” assisted metal–polymeric framework derived N/Co dual-doped hierarchically porous carbon/Fe3O4 nanohybrids: superior electrocatalyst for ORR in biofuel cells. Journal of Materials Chemistry A. 4(23). 9303–9310. 41 indexed citations
20.
Wei, Liling. (2004). Application of Artificial Neural Networks to Carbonate Reservoir in Tahe Field. Xinjiang shiyou dizhi. 1 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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