Sheng Su

1.6k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Sheng Su is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Sheng Su has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Automotive Engineering, 18 papers in Health, Toxicology and Mutagenesis and 8 papers in Atmospheric Science. Recurrent topics in Sheng Su's work include Vehicle emissions and performance (27 papers), Air Quality and Health Impacts (18 papers) and Atmospheric chemistry and aerosols (8 papers). Sheng Su is often cited by papers focused on Vehicle emissions and performance (27 papers), Air Quality and Health Impacts (18 papers) and Atmospheric chemistry and aerosols (8 papers). Sheng Su collaborates with scholars based in China, United States and United Kingdom. Sheng Su's co-authors include Song Hu, Jun Xiang, Yi Wang, Syed Shatir A. Syed‐Hassan, Yunshan Ge, Yitu Lai, Rencheng Zhu, Liqiang He, Jingnan Hu and Lei Zu and has published in prestigious journals such as Advanced Materials, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Sheng Su

40 papers receiving 1.3k citations

Hit Papers

Thermochemical processing of sewage sludge to energy and ... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Su China 17 562 430 374 216 189 43 1.3k
Kang-Shin Chen Taiwan 19 195 0.3× 351 0.8× 345 0.9× 113 0.5× 62 0.3× 38 988
Esbjörn Pettersson Sweden 18 157 0.3× 658 1.5× 318 0.9× 93 0.4× 53 0.3× 41 1.1k
Hang Yin China 20 756 1.3× 172 0.4× 413 1.1× 170 0.8× 16 0.1× 76 1.1k
C. David Cooper United States 15 232 0.4× 105 0.2× 254 0.7× 283 1.3× 129 0.7× 38 1.1k
Joseph McDonald United States 18 553 1.0× 284 0.7× 265 0.7× 149 0.7× 14 0.1× 45 1.0k
Panagiota Dilara Italy 28 1.8k 3.2× 142 0.3× 1.4k 3.6× 386 1.8× 73 0.4× 45 2.5k
Piqiang Tan China 25 1.0k 1.8× 759 1.8× 415 1.1× 815 3.8× 23 0.1× 150 2.1k
Vicente Franco Italy 13 1.2k 2.1× 73 0.2× 928 2.5× 226 1.0× 35 0.2× 26 1.7k
S. S. Thipse India 16 294 0.5× 408 0.9× 101 0.3× 144 0.7× 42 0.2× 91 877
Timothy A. Bodisco Australia 26 769 1.4× 984 2.3× 174 0.5× 408 1.9× 21 0.1× 75 1.9k

Countries citing papers authored by Sheng Su

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Su. A scholar is included among the top collaborators of Sheng Su 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 Sheng Su. Sheng Su 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.
Jiang, Han, Haiguang Zhao, Yitu Lai, et al.. (2025). Characteristics and influence factors of ammonia emissions from light-duty vehicles under real-world driving conditions. Fuel. 393. 135038–135038. 2 indexed citations
2.
Su, Sheng, et al.. (2025). A social development algorithm for neural architecture search. Progress in Artificial Intelligence. 14(4). 531–548.
3.
Wang, Menglei, Rencheng Zhu, Liqiang He, et al.. (2025). Characteristics of particle and particle-bound PAHs emissions from gasoline vehicles: Influence of gasoline properties (aromatics, olefins and T90). Fuel. 391. 134814–134814. 1 indexed citations
4.
Shen, You-Tang, Yiming Wang, Yimei Zhang, et al.. (2025). Chemical modification of a small-molecule acceptor with an adamantyl side chain for efficient and thermally stable organic solar cells. Journal of Materials Chemistry A. 13(20). 15232–15239. 1 indexed citations
5.
Chen, Tianyi, Jinyang Yu, Sheng Su, et al.. (2025). Ambient‐Compatible Solvent Bath Thermal Annealing for Highly Efficient Organic Solar Cells and Large‐Area Modules. Advanced Materials. 38(7). e14741–e14741.
6.
Luo, Zhuanxi, Ning Wang, Xinyi Zhou, et al.. (2025). Heavy metal release from two typical tire microplastics under different simulated environments and bioavailability assessment in China. Environmental Pollution. 383. 126804–126804.
7.
Zhu, Rencheng, Liqiang He, Menglei Wang, et al.. (2024). Particulate matter emissions from light-duty gasoline vehicles under different ambient temperatures: Physical properties and chemical compositions. The Science of The Total Environment. 926. 171791–171791. 12 indexed citations
9.
Ge, Yang, et al.. (2023). Machine Learning-Aided Remote Monitoring of NOx Emissions from Heavy-Duty Diesel Vehicles Based on OBD Data Streams. Atmosphere. 14(4). 651–651. 6 indexed citations
10.
Zhu, Rencheng, Yanan Fu, Jingnan Hu, et al.. (2022). Effects of a start-stop system for gasoline direct injection vehicles on fuel consumption and particulate emissions in hot and cold environments. Environmental Pollution. 308. 119689–119689. 23 indexed citations
12.
Gao, Ningbo, et al.. (2022). Co-Pyrolysis of Municipal Solid Waste (Msw) and Biomass with Co/Sludge Fly Ash Catalyst. SSRN Electronic Journal. 1 indexed citations
13.
Wang, Yachao, Wen Yi, Zhengjun Yang, et al.. (2022). Real driving energy consumption and CO2 & pollutant emission characteristics of a parallel plug-in hybrid electric vehicle under different propulsion modes. Energy. 244. 123076–123076. 31 indexed citations
14.
Qi, Lijuan, Junchao Zhao, Qiwei Li, et al.. (2021). Primary organic gas emissions from gasoline vehicles in China: Factors, composition and trends. Environmental Pollution. 290. 117984–117984. 47 indexed citations
15.
Ge, Yunshan, et al.. (2020). Review of rapid ageing testing methods of three-way catalyst for gasoline engine. International Journal of Vehicle Performance. 6(3). 277–277. 2 indexed citations
16.
Wang, Xin, Yunshan Ge, Zhengjun Yang, et al.. (2018). Proceedings of Real Driving Emission (RDE) Measurement in China. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
17.
Han, Hengda, Song Hu, Yi Wang, et al.. (2016). Inhibitory effects of CaO/Fe2O3 on arsenic emission during sewage sludge pyrolysis. Bioresource Technology. 218. 134–139. 22 indexed citations
18.
Zhu, Rencheng, Jingnan Hu, Xiaofeng Bao, et al.. (2016). Tailpipe emissions from gasoline direct injection (GDI) and port fuel injection (PFI) vehicles at both low and high ambient temperatures. Environmental Pollution. 216. 223–234. 126 indexed citations
20.
Su, Sheng, Weizhong Dai, Donald T. Haynie, & N. Šimičević. (2005). Use of the z‐transform to investigate nanopulse penetration of biological matter. Bioelectromagnetics. 26(5). 389–397. 22 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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