Song Yang

111 total papers · 1.6k total citations
83 papers, 1.3k citations indexed

About

Song Yang is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Song Yang has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanical Engineering, 35 papers in Biomedical Engineering and 32 papers in Materials Chemistry. Recurrent topics in Song Yang's work include Thermochemical Biomass Conversion Processes (20 papers), Catalytic Processes in Materials Science (15 papers) and Industrial Gas Emission Control (13 papers). Song Yang is often cited by papers focused on Thermochemical Biomass Conversion Processes (20 papers), Catalytic Processes in Materials Science (15 papers) and Industrial Gas Emission Control (13 papers). Song Yang collaborates with scholars based in China, Canada and United States. Song Yang's co-authors include Ju Shangguan, Shoujun Liu, Chao Yang, Huiling Fan, Yeshuang Wang, Zhongliang Yu, Yanyan Yang, Xiaogang Hao, Yitian Fang and Guoqing Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Song Yang

72 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Song Yang	656	554	506	175	156	83	1.3k
Ahmad Mohaddespour	388 0.6×	385 0.7×	389 0.8×	183 1.0×	157 1.0×	78	1.5k
Quansheng Liu	401 0.6×	540 1.0×	660 1.3×	144 0.8×	197 1.3×	82	1.4k
Zehua Li	408 0.6×	492 0.9×	431 0.9×	196 1.1×	110 0.7×	101	1.5k
Zhancheng Guo	731 1.1×	432 0.8×	491 1.0×	318 1.8×	232 1.5×	77	1.5k
Li Yang	535 0.8×	656 1.2×	1.0k 2.0×	121 0.7×	152 1.0×	57	1.8k
Liqiang Zhang	503 0.8×	422 0.8×	267 0.5×	220 1.3×	101 0.6×	73	1.5k
Zhiqiang Wu	348 0.5×	631 1.1×	862 1.7×	193 1.1×	200 1.3×	118	1.8k
Guozhang Chang	477 0.7×	398 0.7×	1.1k 2.2×	116 0.7×	115 0.7×	73	1.6k
Yuqiong Zhao	703 1.1×	452 0.8×	376 0.7×	122 0.7×	66 0.4×	89	1.3k
Hidehiro Kumazawa	903 1.4×	610 1.1×	620 1.2×	250 1.4×	85 0.5×	78	1.6k

Countries citing papers authored by Song Yang

Since Specialization

Citations

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

Fields of papers citing papers by Song Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yang

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

All Works

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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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