Yu Bai

59 total papers · 516 total citations
40 papers, 385 citations indexed

About

Yu Bai is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yu Bai has authored 40 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 14 papers in Mechanical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Yu Bai's work include Thermochemical Biomass Conversion Processes (10 papers), Subcritical and Supercritical Water Processes (5 papers) and Advancements in Battery Materials (5 papers). Yu Bai is often cited by papers focused on Thermochemical Biomass Conversion Processes (10 papers), Subcritical and Supercritical Water Processes (5 papers) and Advancements in Battery Materials (5 papers). Yu Bai collaborates with scholars based in China, Vietnam and Iran. Yu Bai's co-authors include Yan Cao, Jiang Du, Mostafa Habibi, Bandar Alzahrani, Shahrizan Baharom, Zhenhua Wang, Wang Sun, Yan Cao, Kening Sun and Meixiu Qu and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and International Journal of Hydrogen Energy.

In The Last Decade

Yu Bai

38 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Yu Bai	112	111	107	106	68	40	385
Jingyuan Ma	64 0.6×	73 0.7×	172 1.6×	169 1.6×	45 0.7×	30	428
Jung‐Yeul Yun	99 0.9×	170 1.5×	163 1.5×	126 1.2×	25 0.4×	58	414
Ning Liu	91 0.8×	46 0.4×	164 1.5×	188 1.8×	44 0.6×	34	424
Shujie Zhang	83 0.7×	99 0.9×	96 0.9×	59 0.6×	37 0.5×	36	408
Muhammad Ihsan Shahid	73 0.7×	53 0.5×	113 1.1×	97 0.9×	115 1.7×	27	375
Xiaoxue Liu	38 0.3×	77 0.7×	156 1.5×	101 1.0×	37 0.5×	49	371
Chee Kuang Kok	107 1.0×	92 0.8×	106 1.0×	217 2.0×	98 1.4×	59	431
Yunlin Shao	154 1.4×	81 0.7×	51 0.5×	181 1.7×	29 0.4×	31	434
Jean‐Luc Dauvergne	62 0.6×	101 0.9×	77 0.7×	248 2.3×	37 0.5×	39	412
Sang Koo Jeon	174 1.6×	151 1.4×	181 1.7×	101 1.0×	43 0.6×	32	425

Countries citing papers authored by Yu Bai

Since Specialization

Citations

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

Fields of papers citing papers by Yu Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Bai. A scholar is included among the top collaborators of Yu Bai 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 Yu Bai. Yu Bai 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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