Shengji Wu

2.7k total citations
82 papers, 2.0k citations indexed

About

Shengji Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shengji Wu has authored 82 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 23 papers in Materials Chemistry and 22 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shengji Wu's work include Mercury impact and mitigation studies (22 papers), Catalytic Processes in Materials Science (15 papers) and Gas Sensing Nanomaterials and Sensors (11 papers). Shengji Wu is often cited by papers focused on Mercury impact and mitigation studies (22 papers), Catalytic Processes in Materials Science (15 papers) and Gas Sensing Nanomaterials and Sensors (11 papers). Shengji Wu collaborates with scholars based in China, Japan and India. Shengji Wu's co-authors include Md. Azhar Uddin, Eiji Sasaoka, Jie Zhou, Wei Yang, Hui Wang, Masaki Ozaki, Wei Yang, Hui Wang, Ken Nobe and Hanwen Yang and has published in prestigious journals such as Environmental Science & Technology, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Shengji Wu

76 papers receiving 2.0k citations

Peers

Shengji Wu

HTM

EEE

Fenghua Shen China

Anchao Zhang China

Peng Liang China

Massoud Rostam‐Abadi United States

Nick D. Hutson United States

Gang Yang China

Hongjian Tang China

K. Suresh Kumar Reddy United Arab Emirates

Jie Dong China

Kanchan Mondal United States

Fenghua Shen China

Shengji Wu

877 ×1.3

HTM

648 ×1.0

331 ×0.7

392 ×0.9

435 ×1.1

EEE

Citations per year, relative to Shengji Wu Shengji Wu (= 1×) peers Fenghua Shen

Countries citing papers authored by Shengji Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shengji Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengji Wu

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

All Works

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20 of 20 papers shown

Zhang, Xu, et al.. (2025). A dual-stage machine learning framework for comprehensive characterization of waste plastic pyrolysis oils. Journal of Analytical and Applied Pyrolysis. 192. 107300–107300.

Xie, Ying, et al.. (2024). Electrocatalytic reduction of nitrate to ammonia over activated carbon-supported copper-iron bimetallic catalyst synthesized by hydrothermal co-precipitation method. Journal of Electroanalytical Chemistry. 972. 118633–118633. 2 indexed citations

Yang, Wei, Fan Yang, Shengji Wu, & Lei Che. (2024). Characterization of Acid-Mechanical Milling Pretreated Rice Straw for Subcritical Water Hydrolysis. Waste and Biomass Valorization. 15(8). 5043–5052.

Feng, Chengqi, Zhiyuan Chen, Haoyong Yin, et al.. (2024). Construction of Pt/Ni/NiFe2O4/C nanocomposite with one dimensional hollow structure for portable glucose sensing application. Analytical Sciences. 40(8). 1437–1448.

Yang, Fan, Pengfei Zhu, Haiqing Zheng, et al.. (2023). Interactions between cellulose and lignin during hydrolysis in subcritical water. The Journal of Supercritical Fluids. 199. 105943–105943. 8 indexed citations

Zhang, Yuqin, Yahui Wang, Hui Wang, et al.. (2023). Cu incorporating into OMS-2 lattice creates an efficient Hg0 removal sorbent in natural gas with ambient-temperature H2S/H2O tolerance. Chemical Engineering Journal. 478. 147452–147452. 10 indexed citations

Wang, Shuyue, et al.. (2023). Highly Efficient Glucose Oxidation Reaction on Pt/NiO/Carbon Nanorods for Application in Glucose Fuel Cells and Sensors. Journal of Electronic Materials. 52(6). 3729–3741. 2 indexed citations

Wang, Shuyue, Haoyong Yin, Ling Wang, et al.. (2023). Electrochemical sensors based on platinum-coated MOF-derived nickel-/N-doped carbon nanotubes (Pt/Ni/NCNTs) for sensitive nitrite detection. Analytical Sciences. 39(8). 1297–1306. 10 indexed citations

Yin, Haoyong, et al.. (2023). Portable Amperometric Glucose Detection based on NiS/CuS Nanorods Integrated with a Smartphone Device. Journal of Electrochemical Science and Technology. 14(3). 252–261. 5 indexed citations

10.

Zhou, Jielin, Haoyong Yin, Ling Wang, et al.. (2022). Decorating NiCo alloy nanosheet arrays with Pt nanoparticles on carbon paper for highly sensitive glucose sensing. Bulletin of Materials Science. 45(4).

11.

Zhou, Jielin, Haoyong Yin, Ling Wang, et al.. (2021). Electrodeposition of Au@NiO Nanotube Arrays for Highly Sensitive Non-enzymatic Glucose Sensing. Journal of Electronic Materials. 50(11). 6392–6402. 7 indexed citations

12.

Chen, Xuan, Jie Zhou, Hanwen Yang, et al.. (2021). PMS activation by magnetic cobalt-N-doped carbon composite for ultra-efficient degradation of refractory organic pollutant: Mechanisms and identification of intermediates. Chemosphere. 287(Pt 1). 132074–132074. 84 indexed citations

13.

Yang, Hanwen, Jie Zhou, Huanxuan Li, et al.. (2020). Magnetic Fe3O4–N-doped carbon sphere composite for tetracycline degradation by enhancing catalytic activity for peroxymonosulfate: A dominant non-radical mechanism. Chemosphere. 263. 128011–128011. 74 indexed citations

14.

Nair, A. Sreekumaran, et al.. (2019). Fabrication of a Lower Weight, All 3D Printed Graphene Supercapacitor. TechConnect Briefs. 167–170. 1 indexed citations

15.

Zhou, Jie, Hui Wang, Wei Yang, Shengji Wu, & Wei Han. (2018). Sustainable nitrogen-rich hierarchical porous carbon nest for supercapacitor application. Carbohydrate Polymers. 198. 364–374. 32 indexed citations

16.

Zhou, Jie, Bao Li, Shengji Wu, Wei Yang, & Hui Wang. (2017). Chitin based heteroatom-doped porous carbon as electrode materials for supercapacitors. Carbohydrate Polymers. 173. 321–329. 77 indexed citations

17.

Yang, Wei, Hui Wang, Meng Zhang, et al.. (2016). Fuel properties and combustion kinetics of hydrochar prepared by hydrothermal carbonization of bamboo. Bioresource Technology. 205. 199–204. 132 indexed citations

18.

Uddin, Md. Azhar, et al.. (2015). Effect of HF and HNO<sub>3</sub> Concentration on Etching Rate of Each Component in Waste Crystalline Silicon Solar Cells. MATERIALS TRANSACTIONS. 56(12). 2047–2052. 14 indexed citations

19.

Uddin, Md. Azhar, et al.. (2009). Effects of HCl and SO₂Concentration on Mercury Removal by Activated Carbon Sorbents in Coal-Derived Flue Gas^†. Energy & Fuels. 23(10). 4734–4739. 76 indexed citations

20.

Wu, Shengji, et al.. (2004). Characters of activated carbon for Hg removal of flue gas with H2S and iron oxide for Hg removal of coal derived fuel gas With H2S. 49(1). 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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