Yingchao Lin

1.1k total citations · 1 hit paper
17 papers, 860 citations indexed

About

Yingchao Lin is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Yingchao Lin has authored 17 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Atmospheric Science. Recurrent topics in Yingchao Lin's work include Air Quality and Health Impacts (4 papers), Vehicle emissions and performance (4 papers) and Atmospheric chemistry and aerosols (4 papers). Yingchao Lin is often cited by papers focused on Air Quality and Health Impacts (4 papers), Vehicle emissions and performance (4 papers) and Atmospheric chemistry and aerosols (4 papers). Yingchao Lin collaborates with scholars based in China, United States and Hong Kong. Yingchao Lin's co-authors include Hongjun Mao, Ting Wang, Yaochen Xie, Anxu Wang, Congbo Song, Jianjun He, Xi Chen, Taosheng Jin, Liu Yan and Qili Dai and has published in prestigious journals such as Environmental Pollution, Energy Policy and Atmospheric Environment.

In The Last Decade

Yingchao Lin

15 papers receiving 850 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Air pollution in China: Status and spatiotemporal variations

2017 538 citations Congbo Song, Lin Wu et al. Environmental Pollution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingchao Lin China	8	571	340	267	192	178	17	860
Carla Gama Portugal	18	442 0.8×	294 0.9×	317 1.2×	155 0.8×	223 1.3×	50	838
Xurong Shi China	17	519 0.9×	404 1.2×	339 1.3×	197 1.0×	130 0.7×	35	892
Hélder Relvas Portugal	17	522 0.9×	175 0.5×	269 1.0×	180 0.9×	157 0.9×	38	802
Changhong Chen China	12	418 0.7×	292 0.9×	307 1.1×	124 0.6×	157 0.9×	19	826
Niko Karvosenoja Finland	19	547 1.0×	321 0.9×	250 0.9×	258 1.3×	108 0.6×	55	797
Tianbo Huang China	9	450 0.8×	258 0.8×	237 0.9×	100 0.5×	163 0.9×	9	751
Yaling Lu China	17	678 1.2×	366 1.1×	356 1.3×	138 0.7×	147 0.8×	40	1.1k
Kan Yi China	15	562 1.0×	370 1.1×	366 1.4×	126 0.7×	137 0.8×	24	862
Anxu Wang China	8	472 0.8×	256 0.8×	223 0.8×	104 0.5×	114 0.6×	16	756
Francisco Ferreira Portugal	15	350 0.6×	209 0.6×	240 0.9×	144 0.8×	176 1.0×	37	728

Countries citing papers authored by Yingchao Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yingchao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchao Lin

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

All Works

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17 of 17 papers shown

Zhang, Cheng, et al.. (2025). Comprehensive study on softness mechanisms and the metabolic pattern of key cell wall components in tobacco leaves during the curing stage. BMC Plant Biology. 25(1). 1054–1054.

Tang, Jie, Qifang Zhang, G. Ou, et al.. (2025). The Impact of Major Meteorological Factors in Tobacco Growing Areas on Key Chemical Constituents of Tobacco Leaves. Phyton. 94(8). 2385–2398.

Zhang, Chunping, et al.. (2024). Nitrogen supply neutralizes the nanoplastic-plant interaction in a coastal wetland. Environmental Research. 251(Pt 1). 118572–118572. 7 indexed citations

Li, Yingzhu, Yingchao Lin, & Bin Su. (2024). Analysis of China's energy consumption and intensity during the 13th five-year plan period. Energy Policy. 198. 114433–114433. 7 indexed citations

Lin, Yingchao, et al.. (2024). Current Status of Inspection and Repair of Difficult Drainage Pipelines in China. Journal of Pipeline Systems Engineering and Practice. 15(2). 3 indexed citations

Lin, Yingchao, et al.. (2023). Current Situation of Drainage Pipe Networkin China and its Detection Technology:a Brief Review. Polish Journal of Environmental Studies. 33(1). 19–29. 5 indexed citations

Li, Yingzhu, Yingchao Lin, & Bin Su. (2023). Time-series analysis of the contributors and drivers of Zhejiang’s carbon emissions and intensity since China’s accession to the WTO. Environmental Science and Pollution Research. 30(16). 46913–46932. 1 indexed citations

Yang, Liu, et al.. (2022). Analysis of the Urban Land Use Efficiency in the New-Type Urbanization Process of China’s Yangtze River Economic Belt. International Journal of Environmental Research and Public Health. 19(13). 8183–8183. 14 indexed citations

Ma, Zhili, et al.. (2021). Effect of Urban-Rural Income Gap on the Population Peri-Urbanization Rate in China. Land. 10(11). 1255–1255. 7 indexed citations

10.

Sun, Shida, Jiaxin Jin, Men Xia, et al.. (2020). Vehicle emissions in a middle-sized city of China: Current status and future trends. Environment International. 137. 105514–105514. 65 indexed citations

11.

Sun, Shida, Gang Zhao, Ting Wang, et al.. (2019). Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030. Atmospheric Environment. 209. 182–191. 61 indexed citations

12.

Hu, Weiyan, et al.. (2018). Effects of Multifunctional Rural Land Use on Residents’ Wellbeing: Evidence from the Xinzhou District of Wuhan City, China. Sustainability. 10(10). 3787–3787. 7 indexed citations

13.

Lin, Yingchao, Yongle Li, & Zhili Ma. (2018). Exploring the Interactive Development between Population Urbanization and Land Urbanization: Evidence from Chongqing, China (1998–2016). Sustainability. 10(6). 1741–1741. 32 indexed citations

14.

Lin, Yingchao, et al.. (2018). The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities. Sustainability. 10(9). 3169–3169. 44 indexed citations

15.

Song, Congbo, Lin Wu, Yaochen Xie, et al.. (2017). Air pollution in China: Status and spatiotemporal variations. Environmental Pollution. 227. 334–347. 538 indexed citations breakdown →

16.

Wang, Peng, Qi Ying, Hongliang Zhang, et al.. (2017). Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories. Environmental Pollution. 237. 756–766. 64 indexed citations

17.

Lin, Yingchao, et al.. (2011). Study on Comparison of Citizens’ Environmental Awareness Among Four Cities in China and Japan. International Conference on Management Science and Engineering. 5(3). 126–131. 5 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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