Bin Yang

13.7k total citations · 5 hit papers
152 papers, 10.0k citations indexed

About

Bin Yang is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Bin Yang has authored 152 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Biomedical Engineering, 31 papers in Molecular Biology and 22 papers in Biomaterials. Recurrent topics in Bin Yang's work include Biofuel production and bioconversion (65 papers), Lignin and Wood Chemistry (50 papers) and Catalysis for Biomass Conversion (42 papers). Bin Yang is often cited by papers focused on Biofuel production and bioconversion (65 papers), Lignin and Wood Chemistry (50 papers) and Catalysis for Biomass Conversion (42 papers). Bin Yang collaborates with scholars based in United States, China and Germany. Bin Yang's co-authors include Charles E. Wyman, Hongliang Wang, Arthur J. Ragauskas, Yunqiao Pu, Qing Qing, Dhrubojyoti D. Laskar, Shi-You Ding, Ziyu Dai, Daochen Zhu and Jianzhong Sun and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Bin Yang

143 papers receiving 9.7k citations

Hit Papers

Pretreatment: the key to unlocking low‐cost cellulosic et... 2004 2026 2011 2018 2007 2018 2015 2004 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Yang United States 47 7.8k 2.8k 1.5k 1.5k 1.4k 152 10.0k
Xuejun Pan United States 56 9.3k 1.2× 2.4k 0.9× 1.6k 1.1× 3.4k 2.3× 1.1k 0.8× 151 12.0k
Jonathan R. Mielenz United States 32 7.0k 0.9× 3.8k 1.4× 1.2k 0.8× 1.5k 1.0× 1.4k 1.0× 57 9.4k
Seema Singh United States 64 8.7k 1.1× 3.2k 1.2× 1.9k 1.3× 2.4k 1.6× 1.2k 0.9× 184 11.8k
Feng Xu China 63 8.5k 1.1× 1.8k 0.7× 3.6k 2.4× 4.2k 2.8× 1.9k 1.3× 220 14.0k
Jeremy S. Luterbacher Switzerland 42 6.9k 0.9× 1.1k 0.4× 1.0k 0.7× 848 0.6× 1.0k 0.7× 121 9.3k
John F. Kadla Canada 49 7.0k 0.9× 1.2k 0.4× 1.8k 1.2× 3.0k 2.0× 1.0k 0.7× 136 9.4k
Gunnar Henriksson Sweden 47 4.9k 0.6× 1.1k 0.4× 2.8k 1.9× 3.5k 2.4× 1.1k 0.8× 179 8.8k
Dimitris S. Argyropoulos United States 56 8.8k 1.1× 1.2k 0.4× 2.9k 2.0× 3.5k 2.4× 1.5k 1.0× 202 11.6k
Sunkyu Park United States 45 5.5k 0.7× 990 0.4× 1.2k 0.8× 3.6k 2.5× 422 0.3× 163 9.3k
Nathan S. Mosier United States 40 9.5k 1.2× 4.5k 1.6× 1.2k 0.8× 1.8k 1.2× 1.2k 0.8× 92 10.9k

Countries citing papers authored by Bin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Yang. A scholar is included among the top collaborators of Bin 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 Bin Yang. Bin Yang 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.
Yang, Ye, Xiaojun Bian, Kexuan Yang, et al.. (2025). Carbon-negative wastewater treatment via CO2-to-acetate microbial electrosynthesis coupled with biological nitrogen removal. Water Research. 288(Pt A). 124556–124556.
2.
Ke, Mengyun, et al.. (2025). Redox regulation by sulfiredoxin-1: bridging cysteine oxidation and liver disease therapeutics. Experimental & Molecular Medicine. 57(10). 2226–2233.
3.
Deng, Shuang, et al.. (2025). Proteomic insights into the physiology and metabolism of oleaginous yeasts and filamentous fungi. Frontiers in Microbiology. 16. 1637123–1637123. 1 indexed citations
4.
Liang, Chengyue, Kai Wu, Bin Yang, et al.. (2024). Effects of three lignocellulosic components on methane production assessed using the response surface methodology. Fuel. 379. 133113–133113. 2 indexed citations
5.
Kumar, Adarsh, Abhishek Kumar, Daniel M. Santosa, et al.. (2024). Engineered Ru on HY zeolite catalyst for continuous and selective hydrodeoxygenation of lignin phenolics to cycloalkanes under moderate conditions. Applied Catalysis A General. 676. 119649–119649. 16 indexed citations
6.
Li, Xiaolu, Marina Gritsenko, Matthew Gaffrey, et al.. (2024). Integrative Multi-PTM Proteomics Reveals Dynamic Global, Redox, Phosphorylation, and Acetylation Regulation in Cytokine-Treated Pancreatic Beta Cells. Molecular & Cellular Proteomics. 23(12). 100881–100881. 4 indexed citations
7.
Kumar, Adarsh, David C. Bell, Zhibin Yang, et al.. (2024). A simultaneous depolymerization and hydrodeoxygenation process to produce lignin-based jet fuel in continuous flow reactor. Fuel Processing Technology. 263. 108129–108129. 12 indexed citations
8.
Li, Xiaolu, et al.. (2023). Harnessing redox proteomics to study metabolic regulation and stress response in lignin-fed Rhodococci. SHILAP Revista de lepidopterología. 16(1). 180–180. 4 indexed citations
9.
Yang, Bin, et al.. (2023). Optimizing the separation of xylose/xylan from eucalyptus woodchips in the autohydrolysis process. The Canadian Journal of Chemical Engineering. 102(2). 622–632. 1 indexed citations
10.
Louw, Jeanne, et al.. (2023). Prioritisation of biomass-derived products for biorefineries based on economic feasibility: A review on the comparability of techno-economic assessment results. Renewable and Sustainable Energy Reviews. 188. 113840–113840. 32 indexed citations
11.
Li, Xiaolu, Nicholas Day, Song Feng, et al.. (2021). Mass spectrometry-based direct detection of multiple types of protein thiol modifications in pancreatic beta cells under endoplasmic reticulum stress. Redox Biology. 46. 102111–102111. 30 indexed citations
12.
Liu, Zhiyuan, Naijia Hao, Yunyan Wang, et al.. (2021). Transforming biorefinery designs with ‘Plug-In Processes of Lignin’ to enable economic waste valorization. Nature Communications. 12(1). 3912–3912. 138 indexed citations
13.
Wu, Xiaoyu, Junhua Jiang, Chongmin Wang, et al.. (2020). Lignin‐derived electrochemical energy materials and systems. Biofuels Bioproducts and Biorefining. 14(3). 650–672. 89 indexed citations
15.
Tao, Ling, et al.. (2018). Techno‐economic analysis of jet‐fuel production from biorefinery waste lignin. Biofuels Bioproducts and Biorefining. 13(3). 486–501. 78 indexed citations
16.
Wang, Hongliang, Haoxi Ben, Hao Ruan, et al.. (2017). Effects of Lignin Structure on Hydrodeoxygenation Reactivity of Pine Wood Lignin to Valuable Chemicals. ACS Sustainable Chemistry & Engineering. 5(2). 1824–1830. 91 indexed citations
17.
Liu, Qiu‐Xiang, et al.. (2016). Effect of conductive additives on electrochemical performance of Li4Ti5O12 in hybrid capacitor. Energy Storage Science and Technology. 5(4). 509. 1 indexed citations
18.
Yang, Bin. (2014). Bioprocessing of Biomass Derived Lignin to Fatty Acids. 1 indexed citations
19.
Yang, Bin, Ziyu Dai, Shi-You Ding, & Charles E. Wyman. (2011). Enzymatic hydrolysis of cellulosic biomass. Biofuels. 2(4). 421–449. 420 indexed citations
20.
Yang, Quankui, et al.. (1998). Growth and mosaic model of GaN grown directly on 6H–SiC(0001) by direct current plasma assisted molecular beam epitaxy. Journal of Crystal Growth. 192(1-2). 28–32. 26 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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